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Wu JY, Zhang ZB, Zhou JY, Ke JP, Bai YN, Chen YF, Wu JY, Zhou SQ, Wang SJ, Zeng ZX, Li YN, Qiu FN, Li B, Yan ML. Outcomes of Salvage Surgery for Initially Unresectable Hepatocellular Carcinoma Converted by Transcatheter Arterial Chemoembolization Combined with Lenvatinib plus Anti-PD-1 Antibodies: A Multicenter Retrospective Study. Liver Cancer 2023; 12:229-237. [PMID: 37767067 PMCID: PMC10521320 DOI: 10.1159/000528356] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/14/2022] [Indexed: 09/29/2023] Open
Abstract
Introduction The actual rate of conversion surgery and its prognostic advantages remain unclear. This study aimed to assess the outcomes of salvage surgery after conversion therapy with triple therapy (transcatheter arterial chemoembolization [TACE] combined with lenvatinib plus anti-PD-1 antibodies) in patients with initially unresectable hepatocellular carcinoma (uHCC). Methods Patients with initially uHCC who received at least one cycle of first-line triple therapy and salvage surgery at five major cancer centers in China were included. The primary endpoints were overall survival (OS) and recurrence-free survival (RFS) rates after salvage surgery. The secondary endpoints were perioperative complications, 90-day mortality, and pathological tumor response. Results Between June 2018 and December 2021, 70 patients diagnosed with uHCC who underwent triple therapy and salvage surgery were analyzed: 39 with Barcelona Clinic Liver Cancer (BCLC) stage C, 22 with BCLC stage B, and 9 with BCLC stage A disease. The median interval between the start of triple therapy and salvage surgery was 4.3 months (range, 1.7-14.2 months). Pathological complete response and major pathological response were observed in 29 (41.4%) and 59 (84.3%) patients, respectively. There were 2 cases of perioperative mortality (4.3%) and 5 cases of severe perioperative complications (7.1%). With a median follow-up of 12.9 months after surgery (range, 0.3-36.8 months), the median OS and RFS were not reached. The 1- and 2-year OS rates were 97.1% and 94.4%, respectively, and the corresponding RFS rates were 68.9% and 54.4%, respectively. Conclusion First-line combination of TACE, lenvatinib, and anti-PD-1 antibodies provides a better chance of conversion therapy in patients with initially uHCC. Furthermore, salvage surgery after conversion therapy is effective and safe and has the potential to provide excellent long-term survival benefits.
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Affiliation(s)
- Jia-Yi Wu
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Zhi-Bo Zhang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jian-Yin Zhou
- Department of Hepatobiliary Surgery, Zhongshan Hospital of Xiamen University, Xiamen, China
| | - Jing-Peng Ke
- Department of Hepato-Biliary-Pancreatic and Vascular Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Yan-Nan Bai
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Yu-Feng Chen
- Department of Hepatobiliary Surgery, The Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China
| | - Jun-Yi Wu
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Song-Qiang Zhou
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Shuang-Jia Wang
- Department of Hepato-Biliary-Pancreatic and Vascular Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Zhen-Xin Zeng
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Yi-Nan Li
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Fu-Nan Qiu
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Bin Li
- Department of Hepato-Biliary-Pancreatic and Vascular Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Mao-Lin Yan
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
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Bai YN, Deng CW, Song N, Qin JL, Li MT, Zeng XF, Hu CJ. [The analysis to data from Chinese Rheumatism Data Center external quality assurance program for autoantibodies in 2021]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1860-1867. [PMID: 36536579 DOI: 10.3760/cma.j.cn112150-20220713-00717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
To evaluate the data obtained from the external quality assurance program initiated by Chinese Rheumatism Data Center (CRDC-QAP) for autoantibodies detection in 2021, so as to assess the consensus and differences in cross-laboratory testing to autoantibodies in China. This is a retrospective study. After collecting data from the first half year (from May 15th to July 10th) and the second half year (from August 15th to November 19th) of CRDC-QAP program for autoantibody detection in 2021, it firstly analyzed the qualitative consensus of the cross-laboratory results. Secondly, it compared the positivity grade of numeric results according to the Sample to cut-off ratio (S/CO ratio) calculation. Finally, the mean and coefficient variation (CV) of numeric results from three major manufacturers were calculated. A total of 303 and 332 clinical labs voluntarily participated in the first half year and the second half year of CRDC-QAP program for autoantibody detection in 2021, respectively. Except for anti-β2 glycoprotein type I (aβ2-GPI) IgM, the cross-laboratory consensus of qualitative results for the other autoantibodies is greater than 96%. As for anti-cyclic citrullinated peptide antibody (anti-CCP) and anti mitochondrial antibody-M2 (AMA-M2), the numeric results from more than 90% laboratories showed the same positivity grade. More than 50% of laboratories used chemiluminescence immunoassay (CLIA) for quantitative evaluation of autoantibody. The CV of numeric results from different manufacturers showed certain differences(P<0.01) with the range from 0 to 238%. Although high consensus can be observed in term of qualitative result for autoantibody detection in cross-laboratory, there are still certain differences in numeric results in term of positivity grade and manufacturer-based CV.
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Affiliation(s)
- Y N Bai
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - C W Deng
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - N Song
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - J L Qin
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - M T Li
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - X F Zeng
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - C J Hu
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
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Lian YE, Bai YN, Lai JL, Huang AM. Aberrant regulation of autophagy disturbs fibrotic liver regeneration after partial hepatectomy. Front Cell Dev Biol 2022; 10:1030338. [DOI: 10.3389/fcell.2022.1030338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 10/13/2022] [Indexed: 01/18/2023] Open
Abstract
Reports indicate that autophagy is essential for maintaining hepatocyte proliferative capacity during liver regeneration. However, the role of autophagy in fibrotic liver regeneration is incompletely elucidated. We investigated the deregulation of autophagic activities in liver regeneration after partial hepatectomy using a CCl4-induced fibrosis mouse model. The baseline autophagic activity was significantly increased in the fibrotic liver. After 50% partial hepatectomy (PHx), liver regeneration was remarkably decreased, accompanied by increased hepatocyte size and binuclearity ratio. Moreover, the expression of autophagy-related proteins was functionally deregulated and resulted in a reduction in the number of autophagosome and autophagosome–lysosome fusions. We further showed upregulation of autophagy activities through verapamil administration, improved hepatocyte proliferation capacity, and restricted cellular hypertrophy and binuclearity ratio. In conclusion, we demonstrated that the impairment of liver regeneration is associated with aberrant autophagy in fibrotic liver and that enhancing autophagy with verapamil may partially restore the impaired liver regeneration following PHx.
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Luo YM, Wang R, Bai YN, Song N, Li MT, Zeng XF, Hu CJ. [The clinical characteristics of nuclear dense fine speckled pattern in 95 289 patients]. Zhonghua Nei Ke Za Zhi 2022; 61:1044-1048. [PMID: 36008298 DOI: 10.3760/cma.j.cn112138-20210901-00607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
To investigate the distribution and clinical significance of nuclear dense fine speckled (DFS) pattern in various diseases. A total of 95 289 patients who received DFS tests at Peking Union Medical College Hospital from January 2019 to December 2020 were included in this study. The results of indirect immunofluorescence assay (IIF) for detection of antinuclear antibody (ANA) were evaluated. The positive rates of ANA and DFS were 39.60% (37 733/95 289) and 1.19% (1 139/95 289) respectively. The positive rate of DFS in ANA-positive patients was 3.02% (1 139/37 733). DFS and ANA positivity were significantly different among different age groups rather than gender. The positivity rate of DFS reached the peak (55.57%, 633/1 139) in young patients between 21-40 years, while positive ANA with negative DFS was mainly observed in patients between 41-60 years (37.26%, 13 636/36 594). Additionally, single ANA-positivity were mainly detected in rheumatology department (59.23%, 18 402/31 066), whereas positive DFS was more common in obstetrics and gynecology department (3.08%, 49/1 593). There were 82.88% (944/1 139) patients with positive DFS diagnosed with non-autoimmune disease (non-AID), and 19.49%(222/1 139) with dermatosis. Positive DFS with higher titer (≥1∶320) was detected more frequently in autoimmune disease (AID) patients (5.13%, 10/195) than in non-AID patients (1.69%, 16/944) (P<0.05). The DFS pattern is rare in ANA positive patients, which is mainly observed in women between 21-49 years. High titer of DFS is prevalent in AID patients, but positive DFS is detected more in non-AID patients, especially those with dermatosis.
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Affiliation(s)
- Y M Luo
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College,Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology,State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - R Wang
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College,Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology,State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - Y N Bai
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College,Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology,State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - N Song
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College,Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology,State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - M T Li
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College,Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology,State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - X F Zeng
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College,Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology,State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
| | - C J Hu
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College,Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology,State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China
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Lai JL, Lian YE, Wu JY, Wang YD, Bai YN. Verapamil induces autophagy to improve liver regeneration in non-alcoholic fatty liver mice. Adipocyte 2021; 10:532-545. [PMID: 34699301 PMCID: PMC8555529 DOI: 10.1080/21623945.2021.1983241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 12/13/2022] Open
Abstract
Verapamil can restore intracellular calcium homeostasis, increase the fusion of autophagosomes and lysosomes, reduce lipid droplet accumulation and inhibit inflammation and insulin resistance in high-fat-fed mice. The present study aimed to investigate verapamil's effect and its underlying liver regeneration mechanism in mice with non-alcoholic fatty liver. After 50% hepatectomy was performed, the changes of autophagy and liver regeneration were evaluated by detecting cell proliferation and autophagy at each time point. Then, 25mg/kg verapamil was injected intraperitoneally for 10 d before an operation in the mild to moderate fatty liver and severe fatty liver groups. The control group and mild to moderate fatty liver group reached the peak of proliferation at 24-48h after operation, and the mice with severe fatty liver and steatohepatitis reached the peak at 48-72h. Autophagy in the normal group and mild to moderate fatty liver group reached the peak 48 hours after operation. Verapamil injection can enhance autophagy, reduce the weight of fatty liver mice, improve liver function and liver regeneration. Verapamil can induce autophagy, improve hepatocyte function and promote hepatocyte regeneration through the mTOR independent signaling pathway, thus improving the process of liver regeneration after partial hepatectomy.
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Affiliation(s)
- Jian-Lin Lai
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary and Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China
| | - Yuan-E Lian
- Department of Pathology, The Affiliated Union Hospital of Fujian Medical University, Fuzhou, 350001, China
| | - Jun-Yi Wu
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary and Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China
| | - Yao-Dong Wang
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary and Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China
| | - Yan-Nan Bai
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary and Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China
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Wu JY, Huang LM, Bai YN, Wu JY, Wei YG, Zhang ZB, Yan ML. Imaging Features of Hepatocellular Carcinoma With Bile Duct Tumor Thrombus: A Multicenter Study. Front Oncol 2021; 11:723455. [PMID: 34804918 PMCID: PMC8602699 DOI: 10.3389/fonc.2021.723455] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 10/18/2021] [Indexed: 02/05/2023] Open
Abstract
Objectives There are still challenging problems in diagnosis of hepatocellular carcinoma (HCC) with bile duct tumor thrombus (BDTT) before operation. This study aimed to analyze the imaging features of HCC with B1–B3 BDTT. Materials and Methods The clinicopathological data and imaging findings of 30 HCC patients with B1–B3 BDTT from three high-volume institutions were retrospectively reviewed. A total of 631 patients without BDTT who were randomly collected from each of the enrolled centers were recorded as the control group to analyze the differences in clinicopathological characteristics and imaging features between the two groups. A total of 453 HCC patients who underwent surgical treatment in the three institutions from January 2020 to December 2020 were collected for a blinded reading test as the validation group. Results HCC patients with B1–B3 BDTT had more advanced tumor stages and adverse clinicopathological features. HCC lesions were detected in all patients, and intrahepatic bile duct dilation was observed in 28 (93.3%) patients with B1–B3 BDTT and 9 (1.43%) patients in HCC without BDTT. The intrahepatic bile duct dilation showed no enhancement at hepatic arterial phase (HAP) and no progressively delayed enhancement at portal venous phase (PVP), but it was more obvious at PVP on CT. In the reports of the 30 HCC patients with B1–B3 BDTT generated for the image when the scan was done, BDTT was observed in all 13 B3 patients and 3 of 12 B2 patients, but none of the 5 B1 patients. Fourteen patients were misdiagnosed before surgery. However, when using intrahepatic bile duct dilation in HCC patients as a potential biomarker for BDTT diagnosis, the sensitivity and specificity for BDTT diagnosis were 93.33% and 98.57%, respectively. The blinded reading test showed that intrahepatic bile duct dilation in CT and MRI scans could be for separating HCC patients with B1–B3 BDTT from HCC patients without BDTT. Conclusions The HCC lesions and intrahepatic bile duct dilation on CT or MRI scans are imaging features of HCC with BDTT, which might facilitate the early diagnosis of B1–B3 BDTT.
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Affiliation(s)
- Jun-Yi Wu
- Department of Hepatobiliary Surgery, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Li-Ming Huang
- Department of Hepatobiliary Surgery, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Yan-Nan Bai
- Department of Hepatobiliary Surgery, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Jia-Yi Wu
- Department of Hepatobiliary Surgery, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Yong-Gang Wei
- Department of Hepatobiliary Surgery, West China Hospital of Sichuan University, Chengdu, China
| | - Zhi-Bo Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Mao-Lin Yan
- Department of Hepatobiliary Surgery, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
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7
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Wu JY, Yin ZY, Bai YN, Chen YF, Zhou SQ, Wang SJ, Zhou JY, Li YN, Qiu FN, Li B, Yan ML. Lenvatinib Combined with Anti-PD-1 Antibodies Plus Transcatheter Arterial Chemoembolization for Unresectable Hepatocellular Carcinoma: A Multicenter Retrospective Study. J Hepatocell Carcinoma 2021; 8:1233-1240. [PMID: 34676181 PMCID: PMC8502053 DOI: 10.2147/jhc.s332420] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/23/2021] [Indexed: 12/11/2022] Open
Abstract
Background Lenvatinib (LEN) combined with anti-PD-1 antibodies (PD-1) exerted promising effects on unresectable hepatocellular carcinoma (uHCC). We assessed the safety and clinical efficacy of triple therapy [LEN+PD-1+transcatheter arterial chemoembolization (TACE)] in uHCC. Methods uHCC patients with an ECOG PS score of 0–1 and Child–Pugh class A who underwent triple therapy were included. The primary endpoint was objective response rate (ORR) based on mRECIST. Secondary endpoints were conversion rate to liver resection and treatment-related adverse events. Results Between November 2018 and December 2020, 62 uHCC patients who underwent triple therapy at four major cancer centers in China were analyzed, including 35 in BCLC-C, 21 in BCLC-B, and 6 in BCLC-A. With a median follow-up of 12.2 months (range, 7.6–33.3 months), the investigator and blinded independent central review-assessed ORR were 80.6% and 77.4%, respectively. A total of 33 patients (53.2%) reached the standard of conversion to resectable HCC and 29 patients underwent resection. The median interval between start of triple therapy and resection was 123 days (range, 55–372 days). Pathological complete response and major pathological response were observed in 16 and 24 patients, respectively. Median overall survival and progression-free survival were not reached. Treatment-related adverse events occurred in 74.2% of the patients (grade ≥3, 14.5%; grade ≥4, 4.8%). Conclusion Combination of LEN, PD-1 and TACE showed a high rate of tumor response and convert resection in uHCC patients, with manageable toxicity.
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Affiliation(s)
- Jia-Yi Wu
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, 350001, People's Republic of China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China
| | - Zhen-Yu Yin
- Department of Hepatobiliary Surgery, Xiamen Traditional Chinese Medical Hospital, Xiamen, Fujian Province, 361000, People's Republic of China
| | - Yan-Nan Bai
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, 350001, People's Republic of China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China
| | - Yu-Feng Chen
- Department of Hepatobiliary Surgery, The Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian Province, 363000, People's Republic of China
| | - Song-Qiang Zhou
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, 350001, People's Republic of China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China
| | - Shuang-Jia Wang
- Department of Hepato-Biliary-Pancreatic and Vascular Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian Province, 361000, People's Republic of China
| | - Jian-Yin Zhou
- Department of Hepatobiliary Surgery, Zhongshan Hospital of Xiamen University, Xiamen, Fujian Province, 361000, People's Republic of China
| | - Yi-Nan Li
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China
| | - Fu-Nan Qiu
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, 350001, People's Republic of China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China
| | - Bin Li
- Department of Hepato-Biliary-Pancreatic and Vascular Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian Province, 361000, People's Republic of China
| | - Mao-Lin Yan
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, 350001, People's Republic of China.,Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian Province, 350001, People's Republic of China
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Wu JY, Sun JX, Wu JY, Huang XX, Bai YN, Wei YG, Zhang ZB, Zhou JY, Cheng SQ, Yan ML. ASO Visual Abstract: Impact of Bile Duct Tumor Thrombus on the Long-Term Surgical Outcomes of Hepatocellular Carcinoma Patients-A Propensity Score-Matching Analysis. Ann Surg Oncol 2021. [PMID: 34652566 DOI: 10.1245/s10434-021-10844-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Jun-Yi Wu
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Dongjie Road 134, Fuzhou, 350001, China
| | - Ju-Xian Sun
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, 200433, China
| | - Jia-Yi Wu
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Dongjie Road 134, Fuzhou, 350001, China
| | - Xiao-Xiao Huang
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Dongjie Road 134, Fuzhou, 350001, China
| | - Yan-Nan Bai
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Dongjie Road 134, Fuzhou, 350001, China
| | - Yong-Gang Wei
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu, China
| | - Zhi-Bo Zhang
- Department of Hepatobiliary Pancreatic Surgery, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jian-Yin Zhou
- Department of Hepatobiliary Surgery, Zhongshan Hospital of Xiamen University, Xiamen, China
| | - Shu-Qun Cheng
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, 200433, China.
| | - Mao-Lin Yan
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Dongjie Road 134, Fuzhou, 350001, China.
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Jin YF, Dai T, Yu C, Zheng S, Nie YH, Wang MZ, Bai YN. [Effects of ambient particulate matter (PM 10) on prevalence of diabetes and fasting plasma glucose]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:1196-1202. [PMID: 34706504 DOI: 10.3760/cma.j.cn112150-20210305-00222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effect of long-term exposure to ambient particulate matter (PM10) on the prevalence of diabetes and fasting plasma glucose (FPG). Methods: The subjects of the study were from the baseline population of "Jinchang Cohort", and 24 285 subjects were finally included after excluding incomplete home address information and diabetic diagnosis information. The demographic characteristics, lifestyle and health status of the survey subjects were collected through questionnaire, physical examination and laboratory tests. ArcGIS software was used to match the nearest environmental monitoring stations for each subject according to residential address. Two-year average concentrations of PM10 were calculated to estimate exposure level. The logistic regression and the multiple linear regression were conducted to assess the effects of ambient PM10 on the prevalence of diabetes and FPG. The restricted cubic spline was used to quantify the dose-response relationship. Stratified analysis and effect modification analysis were also performed. Results: The age of 24 285 participants was (49.32±8.60) years, and the BMI was (24.22±6.09) kg/m2. There were 13 950 (57.44%) males and 2 066 (8.51%) diabetic patients. After adjusting for confounders, for every 10 μg/m3 increase in the average PM10 concentration in the first two years of the survey, the prevalence of diabetes increased [OR (95%CI) =1.05 (1.01-1.09)]and the FPG level elevated [β (95%CI) = 0.061 (0.047-0.076) mmol/L]. The results of the restricted cubic spline analysis showed a nonlinear relationship between PM10 concentration and FPG level (P<0.001). Further subgroup analysis showed that female [OR (95%CI) =1.10 (1.03-1.18)], people over 50 years old [OR (95%CI) =1.06 (1.02-1.11) ], subjects with family history of diabetes [OR (95%CI) = 1.13 (1.04-1.23) ], and with hypertension [OR (95%CI) = 1.07 (1.02-1.12) ] had a stronger association between the prevalence of diabetes and PM10 exposure (all P interaction values were<0.05). The effects of PM10 on FPG were more significant in people older than 50 years[β (95%CI) = 0.080 (0.050-0.109) mmol/L], with family history of diabetes [β (95%CI) = 0.087 (0.036-0.137) mmol/L], and hypertension [β (95%CI) = 0.077 (0.046-0.108) mmol/L] (all P interaction values were<0.05). Conclusions: Long-term exposure to ambient PM10 increases the diabetes prevalence and FPG. People older than 50 years old, with family history of diabetes and hypertension could be more sensitive to the effects of PM10 exposure.
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Affiliation(s)
- Y F Jin
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - T Dai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yu
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - S Zheng
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y H Nie
- Jinchang Center for Disease Prevention and Control, Jinchang 737100, China
| | - M Z Wang
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Wu JY, Sun JX, Wu JY, Huang XX, Bai YN, Wei YG, Zhang ZB, Zhou JY, Cheng SQ, Yan ML. Impact of Bile Duct Tumor Thrombus on the Long-Term Surgical Outcomes of Hepatocellular Carcinoma Patients: A Propensity Score Matching Analysis. Ann Surg Oncol 2021; 29:949-958. [PMID: 34591226 DOI: 10.1245/s10434-021-10799-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 08/18/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hepatectomy with tumor thrombectomy is the preferred treatment option for hepatocellular carcinoma (HCC) patients with bile duct tumor thrombus (BDTT); however, the impact of BDTT on their prognosis is unclear. OBJECTIVE We aimed to investigate the long-term surgical outcomes of HCC patients with BDTT. METHODS The data of HCC patients with and without BDTT who underwent hepatectomy were retrospectively reviewed and the long-term outcomes were compared. For propensity score matching (PSM) analysis, patients were matched in a 1:1 ratio. Subgroup analysis was conducted according to the American Joint Committee on Cancer (AJCC) staging system. RESULTS Before PSM, HCC patients with BDTT had more advanced tumor stages and adverse clinicopathological features. Recurrence-free survival (RFS) and overall survival (OS) were significantly higher in the non-BDTT group before PSM (RFS, p < 0.001; OS, p < 0.001), while after PSM, the BDTT group had significantly poorer RFS (p = 0.025). There was no difference in OS between the groups (p = 0.588). Subgroup analysis showed that RFS and OS in AJCC stage I-II patients were significantly poorer in the BDTT group; no differences were found in the AJCC stage III group before or after PSM. When the presence of BDTT was recommended to increase the AJCC staging system by one stage in AJCC stage I-II patients, the predictive ability for RFS and OS was higher. CONCLUSIONS BDTT was associated with significantly poorer long-term surgical outcomes in AJCC stage I-II patients. A modified AJCC staging system including BDTT status in stage I-II might have a better prognostic ability.
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Affiliation(s)
- Jun-Yi Wu
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Ju-Xian Sun
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Jia-Yi Wu
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Xiao-Xiao Huang
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Yan-Nan Bai
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Yong-Gang Wei
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu, China
| | - Zhi-Bo Zhang
- Department of Hepatobiliary Pancreatic Surgery, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jian-Yin Zhou
- Department of Hepatobiliary Surgery, Zhongshan Hospital of Xiamen University, Xiamen, China
| | - Shu-Qun Cheng
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China.
| | - Mao-Lin Yan
- Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
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Wu JY, Sun JX, Bai YN, Huang XX, Wu JY, Wei YG, Zhang ZB, Zhou JY, Wang YD, Cheng SQ, Yan ML. Long-Term Outcomes of Anatomic Versus Nonanatomic Resection in Hepatocellular Carcinoma Patients with Bile Duct Tumor Thrombus: A Propensity Score Matching Analysis. Ann Surg Oncol 2021; 28:7686-7695. [PMID: 33929619 DOI: 10.1245/s10434-021-09874-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 02/28/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Anatomic resection (AR) of the liver is generally recommended in hepatocellular carcinoma (HCC) patients. However, the benefits of AR and nonanatomic resection (NAR) in HCC patients with bile duct tumor thrombus (BDTT) are unknown. This study aimed to compare long-term outcomes of AR and NAR in HCC patients with BDTT after curative resection. PATIENTS AND METHODS A total of 175 consecutive HCC patients with BDTT after curative resection between April 2009 and December 2017 were included. One-to-one propensity score matching (PSM) was performed to minimize the influence of potential confounders. Recurrence-free survival (RFS) and overall survival (OS) were compared between the cohorts. RESULTS After PSM, 120 patients were analyzed. The AR group had better RFS than the NAR group (P = 0.010). Even though there was no statistically significant difference in OS (P = 0.140, power = 0.33), the 3- and 5-year OS rates in the AR group (52.4% and 44.2%, respectively) were obviously higher than those in the NAR group (35.4% and 30.4%, respectively). When patients were further stratified according to tumor size, better RFS and OS were observed in patients with small (≤ 5 cm) tumors after AR (P < 0.001 and P = 0.004, respectively). Multivariate analysis identified AR (P = 0.024) as an independent favorable prognostic factor for RFS in HCC patients with BDTT. CONCLUSIONS AR is recommended for HCC patients with BDTT, especially in patients with small (≤ 5 cm) tumors.
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Affiliation(s)
- Jia-Yi Wu
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Ju-Xian Sun
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Yan-Nan Bai
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Xiao-Xiao Huang
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Jun-Yi Wu
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Yong-Gang Wei
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu, China
| | - Zhi-Bo Zhang
- Department of Hepatobiliary Pancreatic Surgery, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jian-Yin Zhou
- Department of Hepatobiliary Surgery, Zhongshan Hospital of Xiamen University, Xiamen, China
| | - Yao-Dong Wang
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Shu-Qun Cheng
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China.
| | - Mao-Lin Yan
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China.
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Bai Z, Zhang DS, Zhang R, Yin C, Wang RN, Huang WY, Ding J, Yang JL, Huang PY, Liu N, Wang YF, Cheng N, Bai YN. [A nested case-control study on relationship of traditional and combined lipid metabolism indexes with incidence of diabetes]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:656-661. [PMID: 34814446 DOI: 10.3760/cma.j.cn112338-20200401-00490] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the relationship between lipid indicators and the incidence of diabetes, and to compare the diabetes prediction and identification power of traditional lipid combined lipid indicators, in order to explore the best alternative indicators for identifying and predicting diabetes. Methods: Based on the Jinchang cohort, a nested case-control study was conducted in 1 025 new cases of diabetes after excluding patients with malignant tumor and related endocrine, circulatory system disease, then an age (±2 years), gender matched 1∶1 control group of 1 025 cases was set to analyze the relationship between the incidence of diabetes and lipid parameters. Results: Among the traditional lipid parameters, the fourth quartile of TG, TC, and LDL-C indicated higher risks of developing diabetes, which was 14.00 times (95%CI: 9.73-20.15), 2.15 times (95%CI: 1.65-2.79) and 1.66 times (95%CI: 1.29-2.14) than that of the first quartile, respectively. The risk of developing diabetes indicated by the fourth quartile of HDL-C was 0.21 times than that indicated by the first quartile (95%CI: 0.15-0.28). In the combined lipid parameters, the fourth quartile of TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C indicated higher risks of developing diabetes, which was 14.86 times (95%CI: 10.35-21.34), 8.12 times (95%CI: 5.94-11.01), 5.85 times (95%CI:4.34-7.88) and 5.20 times (95%CI: 3.85-7.03) than that indicated by the first quartile, respectively. The areas under the ROC curve of TG, TC, HDL-C, LDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C were 0.76 (95%CI: 0.74-0.78), 0.59 (95%CI: 0.57-0.61), 0.67 (95%CI: 0.65-0.69), 0.57 (95%CI: 0.55-0.59), 0.77 (95%CI: 0.75-0.78), 0.73 (95%CI: 0.71-0.75), 0.69 (95%CI: 0.67-0.71) and 0.66 (95%CI: 0.64-0.68), respectively. The optimal diabetes predicting point cuts of TG, TC, HDL-C, LDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C were 1.40, 4.70, 1.28, 3.25, 1.17, 3.43, 2.46, and 3.58 mmol/L, respectively. Conclusions: Lipid metabolic disorder is a risk factor for diabetes. TG and TG/HDL-C are the good lipid metabolism indicators for the prediction of diabetic.
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Affiliation(s)
- Z Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - R Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yin
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - R N Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - W Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Ding
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J L Yang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - P Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Liu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y F Wang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - N Cheng
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Zhang R, Zhang DS, Wang RN, Yin C, Bai Z, Huang WY, Yang JL, Huang PY, Liu N, Chen XL, Wang YF, Cheng N, Bai YN. [Relationship of body mass index and blood pressure with diabetes: a nested case-control study]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:662-667. [PMID: 34814447 DOI: 10.3760/cma.j.cn112338-20200401-00493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the relationship of body mass index and blood pressure with the incidence of diabetes in Jinchang cohort. Methods: We designed a nested case-control study, a total of 29 572 workers who had no history of diabetes in baseline survey in Jinchang cohort were selected as the study cohort from June 2011 to December 2013. After 2 year follow-up, 1 021 workers with first diagnosed diabetes were selected as the case group, after 1∶1 matching according to the same gender and age ±2 years among those without diabetes, circulatory system, or endocrine system diseases during the same follow-up period, 1 021 controls was selected and 2 042 subjects were finally included. We used multivariate conditional logistic regression model, additive interaction model and multiplicative interaction model to explore the relationship of body mass index and blood pressure with the incidence of diabetes. Results: After adjusting for factors such as occupation, alcohol use, family history of diabetes, hyperuricemia, hypercholesterolemia, hypertriglyceridemia, low-HDL cholesterolemia and high-LDL cholesterolemia, multivariate conditional logistic regression analysis showed that the risk of diabetes increased with body mass index and blood pressure. Hypertension and overweight/obesity had a multiplicative interaction on the incidence of diabetes. The risks of diabetes in men and women with hypertension and overweight/obese were 2.04 times (95%CI: 1.54-2.69) and 3.88 times (95%CI: 2.55-5.91) higher than those in men and women with normal body weight and blood pressure, respectively. In the combination of BMI and blood pressure, obese individuals with SBP≥160 mmHg were 4.57 times (95%CI: 2.50-8.34) more likely to have diabetes than those with normal BMI and SBP, obese individuals with DBP≥90 mmHg were 3.40 times (95%CI: 2.19-5.28) more likely to have diabetes than those with normal BMI and DBP. Conclusions: Overweight/obesity and hypertension can increase the risk of diabetes. Health education about body weight and blood pressure controls should be strengthened to reduce the risk of diabetes.
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Affiliation(s)
- R Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - R N Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yin
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - Z Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - W Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J L Yang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - P Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Liu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X L Chen
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y F Wang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - N Cheng
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Huang XX, Wu JY, Bai YN, Wu JY, Lv JH, Chen WZ, Huang LM, Huang RF, Yan ML. Outcomes of laparoscopic bile duct exploration for choledocholithiasis with small common bile duct. World J Clin Cases 2021; 9:1803-1813. [PMID: 33748229 PMCID: PMC7953400 DOI: 10.12998/wjcc.v9.i8.1803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/02/2021] [Accepted: 01/26/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Laparoscopic cholecystectomy (LC) combined with laparoscopic common bile duct (CBD) exploration (LCBDE) is one of the main treatments for choledocholithiasis with CBD diameter of larger than 10 mm. However, for patients with small CBD (CBD diameter ≤ 8 mm), endoscopic sphincterotomy remains the preferred treatment at present, but it also has some drawbacks associated with a series of complications, such as pancreatitis, hemorrhage, cholangitis, and duodenal perforation. To date, few studies have been reported that support the feasibility and safety of LCBDE for choledocholithiasis with small CBD.
AIM To investigate the feasibility and safety of LCBDE for choledocholithiasis with small CBD.
METHODS A total of 257 patients without acute cholangitis who underwent LC + LCBDE for cholecystolithiasis from January 2013 to December 2018 in one institution were reviewed. The clinical data were retrospectively collected and analyzed. According to whether the diameter of CBD was larger than 8 mm, 257 patients were divided into large CBD group (n = 146) and small CBD group (n = 111). Propensity score matching (1:1) was performed to adjust for clinical differences. The demographics, intraoperative data, short-term outcomes, and long-term follow-up outcomes for the patients were recorded and compared.
RESULTS In total, 257 patients who underwent successful LC + LCBDE were enrolled in the study, 146 had large CBD and 111 had small CBD. The median follow-up period was 39 (14-86) mo. For small CBD patients, the median CBD diameter was 0.6 cm (0.2-2.0 cm), the mean operating time was 107.2 ± 28.3 min, and the postoperative bile leak rate, rate of residual CBD stones (CBDS), CBDS recurrence rate, and CBD stenosis rate were 5.41% (6/111), 3.60% (4/111), 1.80% (2/111), and 0% (0/111), respectively; the mean postoperative hospital stay was 7.4 ± 3.6 d. For large CBD patients, the median common bile duct diameter was 1.0 cm (0.3-3.0 cm), the mean operating time was 115.7 ± 32.0 min, and the postoperative bile leak rate, rate of residual CBDS, CBDS recurrence rate, and CBD stenosis rate were 5.41% (9/146), 1.37% (2/146), 6.85% (10/146), and 0% (0/146), respectively; the mean postoperative hospital stay was 7.7 ± 2.7 d. After propensity score matching, 184 patients remained, and all preoperative covariates except diameter of CBD stones were balanced. Postoperative bile leak occurred in 11 patients overall (5.98%), and no difference was found between the small CBD group (4.35%, 4/92) and the large CBD group (7.61%, 7/92). The incidence of CBDS recurrence did not differ significantly between the small CBD group (2.17%, 2/92) and the large CBD group (6.52%, 6/92).
CONCLUSION LC + LCBDE is safe and feasible for choledocholithiasis patients with small CBD and did not increase the postoperative bile leak rate compared with chole-docholithiasis patients with large CBD.
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Affiliation(s)
- Xiao-Xiao Huang
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
| | - Jia-Yi Wu
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
| | - Yan-Nan Bai
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
| | - Jun-Yi Wu
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
| | - Jia-Hui Lv
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
| | - Wei-Zhao Chen
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
| | - Li-Ming Huang
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
| | - Rong-Fa Huang
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
| | - Mao-Lin Yan
- Department of Hepatobiliary and Pancreatic Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350001, Fujian Province, China
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15
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Wu JY, Sun JX, Wu JY, Huang XX, Bai YN, Zeng YY, Zhang ZB, Cheng SQ, Yan ML. A nomogram based on combining systemic and hepatic inflammation markers for predicting microscopic bile duct tumour thrombus in hepatocellular carcinoma. BMC Cancer 2021; 21:272. [PMID: 33711965 PMCID: PMC7955625 DOI: 10.1186/s12885-021-07956-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 02/23/2021] [Indexed: 11/25/2022] Open
Abstract
Background Bile duct invasion is a relatively rare event and is not well characterised in hepatocellular carcinoma (HCC). It remains very difficult to diagnose HCC with bile duct tumour thrombus (BDTT) before surgery. Increasing evidence has revealed that inflammation plays a critical role in tumorigenesis. This study aimed to develop nomograms based on systemic and hepatic inflammation markers to predict microscopic BDTT (micro-BDTT) before surgery in HCC. Methods A total of 723 HCC patients who underwent hepatectomy as initial therapy between January 2012 and June 2020 were included in the study. Logistic regression analysis was used to identify independent risk factors for micro-BDTT. The nomograms were constructed using significant predictors, including α-fetoprotein (AFP), alkaline phosphatase (ALP), direct bilirubin (DB), prognostic nutritional index (PNI), and γ-glutamyl transferase (γ-GT)/alanine aminotransferase (ALT). The prediction accuracies of the nomograms were evaluated using the area under the receiver operating characteristic (ROC) curve. Results AFP, ALP, DB, PNI, and γ-GT/ALT were independent risk factors for predicting micro-BDTT (P = 0.036, P = 0.004, P = 0.013, P = 0.012, and P = 0.006, respectively), which were assembled into the nomograms. The area under the ROC curve of the nomograms combining PNI and γ-GT/ALT for predicting micro-BDTT was 0.804 (95% confidence interval [CI]: 0.730–0.878). The sensitivity and specificity values when used in predicting micro-BDTT before surgery were 0.739 (95% CI: 0.612–0.866) and 0.781 (95% CI: 0.750–0.813), respectively. Conclusions The nomogram based on combining systemic and hepatic inflammation markers is suitable for predicting micro-BDTT before surgery in HCC patients, leading to a rational therapeutic choice for HCC.
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Affiliation(s)
- Jun-Yi Wu
- Department of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Ju-Xian Sun
- Department of Hepatic Surgery VI, The Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, 200433, China
| | - Jia-Yi Wu
- Department of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Xiao-Xiao Huang
- Department of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Yan-Nan Bai
- Department of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Yong-Yi Zeng
- Department of Hepatobiliary Surgery, Mengchao Hepotabiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Zhi-Bo Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Shu-Qun Cheng
- Department of Hepatic Surgery VI, The Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, 200433, China.
| | - Mao-Lin Yan
- Department of Hepatobiliary Surgery, Fujian Provincial Hospital, the Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
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Zhang WL, Bai YN, Zhang DS, Zhao YY, Yin C, Huo YB, Ding J, Ba YP, Li N, Gan T, Wang YF, Cheng N. [Effect of HBV infection pattern on prevalence of fatty liver disease in Jinchang cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:488-492. [PMID: 34814418 DOI: 10.3760/cma.j.cn112338-20200427-00664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To investigate the influence of HBV infection on the prevalence of fatty liver disease in Jinchang cohort and provide theoretical evidence for the prevention and treatment of fatty liver disease. Methods: Epidemiological investigation, laboratory examination and abdominal ultrasound were conducted in the baseline population of Jinchang cohort to collect the basic data, the differences in the prevalence of fatty liver disease under different HBV infection patterns were described and compared and the influence of different HBV infection patterns on the prevalence of fatty liver disease were evaluated by using logistic regression analysis. Results: The baseline Jinchang cohort population totaled 45 605, including 27 917 males and 17 688 females. The male to female ratio was 1.6∶1. The mean age of the overall population was 46.49 years. Among the 8 common HBV infection modes in the Jinchang cohort, the prevalence of fatty liver was low in HBsAg, HBeAg and HBcAb positive, HBsAg and HBcAb positive, and HBsAg, HBeAb and HBcAb positive groups. For 4 serum markers of HBV infection, the prevalence of fatty liver disease in HBsAg and HBeAg positive groups was lower than that in HBsAg and HBeAg negative groups. Logistic regression analysis showed that being HBsAg and HBcAb positive (OR=0.61, 95%CI: 0.39-0.98) and HBsAg, HBeAg and HBcAb positive (OR=0.52, 95%CI: 0.30-0.89) could reduce the risk for fatty liver disease. Conclusion: Acute HBV infection reduces the prevalence of fatty liver disease, and the reason may be related to the disturbance of the body's fat metabolism by active HBV replication.
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Affiliation(s)
- W L Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Worker's Hospital of Jinchuan Group, Jinchang 737100, China
| | - Y Y Zhao
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yin
- Worker's Hospital of Jinchuan Group, Jinchang 737100, China
| | - Y B Huo
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Ding
- Worker's Hospital of Jinchuan Group, Jinchang 737100, China
| | - Y P Ba
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Li
- Worker's Hospital of Jinchuan Group, Jinchang 737100, China
| | - T Gan
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y F Wang
- Worker's Hospital of Jinchuan Group, Jinchang 737100, China
| | - N Cheng
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
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17
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Wang RN, Zhang DS, Bai Z, Yin C, Zhang R, Yang JL, Bao KF, Huang WY, Huang PY, Liu N, Wang YF, Cheng N, Bai YN. [Prospective cohort study of relationship of triglyceride, fasting blood-glucose and triglyceride glucose product index with risk of hypertension]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:482-487. [PMID: 34814417 DOI: 10.3760/cma.j.cn112338-20200401-00491] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To investigate the relationship of triglyceride (TG), fasting blood glucose (FPG) and triglyceride glucose product index (TyG) with the incidence of hypertension, and provide basic data for the prevention and treatment of hypertension in the population. Methods: A total of 23 581 individuals who met the research criteria in Jinchang cohort were selected as the research subjects, the Cox proportional hazard model was used to analyze the relationship of TG, FPG, and TyG with the risk of hypertension. A stratified analysis was conducted by sex. Results: After adjusting for confounding factors, compared with the normal TG group, the HR(95%CI) of the elevated TG margin group and the elevated group were 1.16 (1.01-1.34) and 1.49 (1.30-1.70), respectively in the total population. Among men, they were 1.13 (1.01-1.27) and 1.17 (1.06-1.30), and among women, they were 1.05 (0.88-1.26) and 1.06 (0.88-1.28). Compared with the normal FPG group, the HR (95%CI) of the FPG-impaired group were 1.29 (1.13-1.48) in the total population, 1.26 (1.08-1.48) in men and 1.59 (1.14-2.21) in women. Taking the lowest quartile array as a reference, the HR (95%CI) of the highest quartile array of TyG was 1.73 (1.45-2.07) in the total population, 1.32 (1.14-1.53) in men and 1.87 (1.37-2.54) in women. TG, FPG had a nonlinear dose-response relationship with the risk of hypertension, while TyG had a linear correlation with the risk of hypertension. Conclusions: Higher TG, FPG, and TyG levels are independent risk factors for the incidence of hypertension. People with higher TG, FPG and TyG are at high risk for hypertension, to which close attention should be paid in the prevention and treatment of hypertension.
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Affiliation(s)
- R N Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - Z Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yin
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - R Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J L Yang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - K F Bao
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - W Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - P Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Liu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y F Wang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - N Cheng
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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18
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Huo YB, Bai YN, Zhang DS, Chang XY, Yin C, Ba YP, Wang YF, Gan T, Ding J, Li N, Zhang WL, Cheng N. [Analysis on influencing factors for nonalcoholic fatty liver disease in Jinchang cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:493-498. [PMID: 34814419 DOI: 10.3760/cma.j.cn112338-20200428-00668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the influencing factors for non-alcoholic fatty liver disease (NAFLD) in Jinchang cohort, and provide scientific basis for the prevention and control of NAFLD. Methods: A total of 20 051 patients without fatty liver at baseline survey and met the inclusion criteria in Jinchang cohort were selected as study subjects. Prospective cohort study and Cox regression analysis were used to investigate the influencing factors for NAFLD, and the dose-response relationship between related biochemical indicators and NAFLD risk was studied by restricted cubic spline method. Results: The incidence of NAFLD was 42.37/1 000 person years. Multivariate Cox regression analysis showed that being worker and technical personnel (being worker:HR=0.84,95%CI:0.70-0.99;being technical personnel:HR=0.73,95%CI:0.56-0.95), tea drinking (current drinking:HR=0.86,95%CI:0.78-0.94;previous drinking: HR=0.52,95%CI: 0.31-0.86), exercise (occasionally: HR=0.79, 95%CI: 0.68-0.91;frequently:HR=0.60,95%CI:0.52-0.69), low body weight (HR=0.10, 95%CI: 0.05-0.22), daily intake of dairy products >300 ml/day (HR=0.78, 95%CI: 0.71-0.87) and HBV infection (HR=0.77, 95%CI: 0.60-0.99) were the protective factors for NAFLD, while being internal or office workers (HR=1.84, 95%CI: 1.46-2.31), income ≥2 000 yuan (2 000- yuan: HR=1.32, 95%CI: 1.04-1.66; ≥5 000 yuan: HR=1.72, 95%CI:1.11-2.66), bachelor degree or above (HR=1.35,95%CI:1.03-1.76), overweight (HR=2.31, 95%CI:2.08-2.55), obesity (HR=3.95, 95%CI: 3.42-4.56), impaired fasting blood glucose (HR=1.31, 95%CI:1.17-1.47), diabetes (HR=1.53, 95%CI: 1.30-1.80), increased TC (HR=1.37,95%CI:1.24-1.52), increased TG (HR=1.79,95%CI: 1.62-1.98), decreased HDL-C (HR=1.29, 95%CI: 1.14-1.45), increased ALT (HR=1.13, 95%CI: 1.01-1.26) and high-fat diet (HR=1.24, 95%CI: 1.11-1.40) were the risk factors for NAFLD. Moreover, TC, TG, HDL-C, ALT and FPG all showed good dose-response relationship with the incidence of NAFLD. Conclusion: Occupation, education level, income level, tea drinking, exercise, BMI, FPG, blood lipid, ALT, HBV infection and diet were related to the incidence of NAFLD.
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Affiliation(s)
- Y B Huo
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - X Y Chang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yin
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - Y P Ba
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y F Wang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - T Gan
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Ding
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - N Li
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - W L Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Cheng
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
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19
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Lian YE, Wu D, Huang JP, Zheng QL, Bai YN, Feng CY, Yang YH. [Effect of HIF-1α and BRD4 on autophagy level of breast cancer cell in hypoxic microenvironment]. Zhonghua Bing Li Xue Za Zhi 2020; 49:1294-1299. [PMID: 33287516 DOI: 10.3760/cma.j.cn112151-20200309-00186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the expressions of HIF-1α, BRD4, Beclin1, LC3B and p62 in breast cancer tissues and their clinicopathological significance, and to study alterations of their expression in breast cancer cells under hypoxic microenvironment. Methods: Immunohistochemistry was used to detect HIF-1α, BRD4, Beclin1, LC3B and p62 protein expressions in 125 breast cancer tissues and 50 para-cancer normal breast tissues, and their correlation with clinicopathologic characteristics were analyzed. The expression of these proteins were also measured after 24 hours of hypoxia stimulation was detected in different breast cancer cell lines and normal breast epithelial cells. Results: The expression of HIF-1α, BRD4, Beclin1 and LC3B proteins in breast cancer tissues were significantly higher than in para-cancer normal breast tissues (P<0.05). There was a positive association between histologic grade, the expression of HIF-1α, BRD4, Beclin1 and LC3B (P<0.05). High expressions of HIF-1a and Beclin1 were often correlated with lymph node metastasis and lymphatic invasion (P<0.05). Increased HIF-1α, BRD4, Beclin1 and LC3B expression was associated with ER or PR negativity, but only HIF-1α was associated with HER2 positivity (P<0.05). HIF-1α, BRD4, Beclin1, and LC3B were positively correlated with each other in breast cancer tissues (P<0.01). After 24 hours of hypoxic stimulation, the expression of HIF-1α, BRD4, Beclin1 and LC3B was up-regulated in breast cancer cells. Conclusions: Hypoxia induces autophagy in breast cancer tissues. HIF-1α is positively correlated with BRD4, suggesting that BRD4 is involved in the regulation of autophagy by hypoxic microenvironment in breast cancer. High expression of HIF-1α, BRD4 and autophagy may play an important role in the development of breast cancer.
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Affiliation(s)
- Y E Lian
- Department of Pathology, the Union Hospital of Fujian Medical University, Fuzhou 350001, China
| | - D Wu
- Department of Pathology, the Union Hospital of Fujian Medical University, Fuzhou 350001, China
| | - J P Huang
- Department of Pathology, the Union Hospital of Fujian Medical University, Fuzhou 350001, China
| | - Q L Zheng
- Department of Pathology, the Union Hospital of Fujian Medical University, Fuzhou 350001, China
| | - Y N Bai
- Department of Hepatobiliopancreatic Surgery, Fujian Provincial Hospital, Fuzhou 350001, China
| | - C Y Feng
- Department of Pathology, the Union Hospital of Fujian Medical University, Fuzhou 350001, China
| | - Y H Yang
- Department of Pathology, the Union Hospital of Fujian Medical University, Fuzhou 350001, China
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20
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Huang WY, Yang JL, Huang PY, Liu N, Bao KF, Ding J, Chen XL, Cheng N, Zheng S, Bai YN. [Progress of cohort studies in countries from Asia and Europe]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:962-967. [PMID: 32564568 DOI: 10.3760/cma.j.cn112338-20190722-00539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To share related knowledge and experiences with countries along the line, literature regarding current cohort studies was summarized. Distribution, establishment and development of cohort studies among large prospective general population were analyzed in 17 countries of Western Asia and the 16 countries of Central and Eastern Europe. Methods: Literature review was conducted to collect basic information on cohort studies, with descriptive study used to analyze the characteristics of these cohort studies. Results: There were 562 cohort studies with sample size as more than 1 000 stated in Western Asia and Central and Eastern Europe, including 468 (83.27%) carried out in the nation itself and 94 (16.73%) with international multicentered collaboration. According to the nature of cohort studies, 347 (61.74%) were etiologically based. As for the contents involved, 310 (55.16%) of them targeted on chronic/non-communicable diseases, 125 (22.24%) concentrated on maternal and child health. Among those on chronic/non-communicable diseases, 51 (16.45%) were on cancers and 83 (26.77%) on cardiovascular disease studies. There appeared 10 large prospective cohort studies targeting on general population, mainly ongoing in Iran and European countries, with a duration of 8-29 years, including 4 of them with sample size as more than 50 000. In terms of the contents, epidemiological investigation, physical examination and biological samples collection took the major parts. Few papers were published in 9 out of the 10 cohort studies at the early stage of those projects but the number of papers increased annually and stabilized to certain extent. Conclusions: The regional distribution of cohort studies carried out in countries from the Western Asia and Central and Eastern European areas appeared unbalanced. Contents of these designs would mainly involve etiological studies, with focus on non-communicable diseases as cancer, cardiovascular disease, diabetes, respiratory diseases, mental and psychological diseases, and maternal and infant health etc.. However, only few large prospective cohort studies would base on general population.
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Affiliation(s)
- W Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J L Yang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - P Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Liu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - K F Bao
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Ding
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X L Chen
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Cheng
- School of Basic Medical, Lanzhou University, Lanzhou 730000, China
| | - S Zheng
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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21
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Mao AY, Shi JF, Qiu WQ, Liu CC, Dong P, Huang HY, Wang K, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ. [Analysis on the consciousness of the cancer early detection and its influencing factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:54-61. [PMID: 31914570 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years. Results: The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (P<0.05). Compare with residents with annual household income less than 20 000 CNY in 2014, cancer risk assessment/screening intervention population, and self-assessment with cancer risk, residents with annual household income between 20 000 CNY and 59 000 CNY in 2014, occupational population, community residents, cancer patients, self-reported cancer-free risk, and self-assessment with unclear judgement of cancer risk were less likely to participate in the regular physical examination (all P values <0.05). Conclusion: From 2015 to 2017, the Chinese urban residents had a acceptable consciousness of the cancer early detection. The marital status, annual household income, population group and self-assessment of cancer risk were related to the consciousness of the cancer early detection of people who had not participated in the regular physical examination in the past five years.
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Affiliation(s)
- A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control,Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010,China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Wang K, Liu CC, Mao AY, Shi JF, Dong P, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Chen WQ, Qiu WQ, Dai M. [Analysis on the demand, access and related factors of cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:84-91. [PMID: 31914574 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the demand and access to the cancer prevention and treatment knowledge and related factors among urban residents in China from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of general demographic characteristics, the demand and access to cancer prevention and treatment knowledge, and the influencing factors of the attitude. The Chi-square test was used to analyze the difference of the demand of the cancer prevention knowledge among different groups and the corresponding factors of the cancer prevention and treatment knowledge were analyzed by using the logistic regression model. Results: The proportion of residents who need the cancer prevention and treatment knowledge was 79.5%. The demand rate of the inducement, symptom and diagnosis methods of cancer in the occupational population was highest, about 66.8%, 71.0% and 20.8%, respectively. The demand rate of treatment methods and cost in current cancer patients was the highest, about the 45.9% and 21.9%, respectively. The top three sources to acquire the cancer prevention and treatment knowledge were "broadcast or television" (69.5%), "books, newspapers, posters or brochures" (44.7%) and "family and friends" (33.8%). The multivariate analysis showed that compared with public institution personnel/civil servants, unmarried/cohabiting/divorced/widowed and others, annual household income less than 20 000 CNY, from the eastern region, people without cancer diagnosis and people with self-assessment of cancer risk, the demand rate of cancer prevention and treatment knowledge was higher in enterprise personnel/workers, married, annual household income between 60 000 CNY and 150 000 CNY, from the central region, people with cancer and people with unclear cancer risk (all P values <0.05). Conclusion: There was a high demand for the cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017. The main access to the knowledge is from the radio or television. The occupation, marital status, annual household income, residential region, health status and risk of disease were the main factors of the demand of the cancer prevention and treatment knowledge.
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Affiliation(s)
- K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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23
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Liu CC, Shi CL, Shi JF, Mao AY, Huang HY, Dong P, Bai FZ, Chen YS, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Xu WH, Qiu WQ, Dai M, Chen WQ. [Study on the health literacy and related factors of the cancer prevention consciousness among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:47-53. [PMID: 31914569 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion: The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.
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Affiliation(s)
- C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C L Shi
- Department of Disease Control and Prevention, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - F Z Bai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y S Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Scholl of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital/Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W H Xu
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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24
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Dong P, Shi JF, Qiu WQ, Liu CC, Wang K, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Mao AY, He J. [Analysis on the health literacy of the cancer prevention and treatment and its related factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:76-83. [PMID: 31914573 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy of the cancer prevention and treatment among urban residents of China, and explore the related factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The health literacy of the cancer prevention, early discovery, early diagnosis, early treatment and the demands of cancer prevention and treatment knowledge was analyzed. The level of health literacy among different groups were calculated and compared. The binary logistic regression model was used to analyze the influencing factors of the health literacy of the cancer prevention and treatment. Results: The level of health literacy of the cancer prevention and treatment was 56.97% among all study population; in each group it was 55.01% for community residents, 59.08% for cancer risk assessment/screening population, 61.99% for cancer patients and 57.31% for occupational population, respectively (P<0.001). The level of health literacy of the cancer prevention and treatment of residents aged 50 to 69 years old, other occupational groups, unmarried, the central and western region residents and the group with unclear self-assessment of cancer risk was significantly lower than that of residents younger than 40 years old, personnel of public institutions/civil servants, married, the eastern region residents and the group whose self-assessment without cancer risk (P<0.05) . The level of health literacy of cancer prevention and treatment of females, people who went to high school or over, cancer risk assessment/screening population, cancer patients and occupational population was significantly higher than that of males, people who had an education level of primary school or below and community residents (P<0.05) . Conclusion: The health literacy of the cancer prevention and treatment of urban residents in China was relatively high, but there was still room for improvement. Gender, age, educational level, occupation, region, marital status, self-assessment of cancer risk, and type of respondents were the key influencing factors of the health literacy of the cancer prevention and treatment. Male, 50-69 years old, lower educational level, central and western regions, unclear cancer risk self-assessment, and without specific environmental exposure to cancer prevention and treatment knowledge or related risk factors were the characteristics of the key intervention group of the health literacy of the cancer prevention and treatment.
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Affiliation(s)
- P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang cancer hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J He
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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25
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Li HC, Wang K, Yuan YN, Mao AY, Liu CC, Liu S, Yang L, Huang HY, Dong P, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Wang N, Qiu WQ, Shi JF. [Analysis on the consciousness of the early cancer treatment and its influencing factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:69-75. [PMID: 31914572 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment. Results: With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (P<0.001). If the immediate family members were diagnosed as precancer or cancer, people who would encourage their family members to receive early treatment in the four groups accounted for 91.96%, 91.94%, 92.44% and 91.55%, respectively (P<0.001). The company employees, annual household income with 40 000 yuan and more and other three groups had a relatively better consciousness of the cancer early treatment (P<0.05). Male, widowed, unemployed and from the central and western regions had a relatively worse consciousness of the cancer early treatment (P<0.05). Conclusion: Residents in urban China participants had a good consciousness of the cancer early treatment. The marital status, occupation, annual household income and residential regions were major factors related to the consciousness of the cancer early treatment.
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Affiliation(s)
- H C Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - Y N Yuan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - L Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang cancer hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Officeof Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Cao JN, Zhang DS, Huang JJ, Jiang N, Li HY, Bao KF, Ding J, Chen XL, Ma L, Hu XB, Li JS, Ren XW, Cheng N, Bai YN. [Incidence of chronic obstructive pulmonary disease and pneumoconiosis in different occupational positions among populations from jinchang cohort]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2019; 37:650-655. [PMID: 31594118 DOI: 10.3760/cma.j.issn.1001-9391.2019.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the incidence and rank of chronic obstructive pulmonary disease and pneumoconiosis to the workers in different occupational positions in Jinchang Cohort. Methods: In January 2014, a cohort of follow-up population in jinchang city was taken as the research object, 17843 individuals among follow-up populations in Jinchang Cohort Study, removed the individuals with chronic obstructive pulmonary disease and pneumoconiosis before 2013, and counted the new incidence individuals diagnosed by the A-Class hospital in Grade III in Jinchang City, Gansu Province, as the investigation objects to investigate the incidence rate & rank of chronic obstructive pulmonary disease and pneumoconiosis. The statistical significance was tested by chi-square test. Results: The 2-year incidence rate of Chronic Obstructive Pulmonary Disease and Pneumoconiosis in the population of Jinchang Cohort Study were 11.60‰, 13.51‰ for male and 8.46‰ for female. the ranks of 2-year incidence rates of chronic bronchitis, emphysema, pneumoconiosis and other phenotypes of chronic obstructive pulmonary disease were 7.06‰、3.42‰、0.84‰、0.34‰, respectively. Incidence rate of chronic bronchitis among administrators and executive staffs were 10.45‰; incidence rate of chronic bronchitis among service staffs were 10.45‰; incidence rate of pneumoconiosis among mining staffs were 3.44‰. Conclusion: The first incidence rank of chronic obstructive pulmonary disease and pneumoconiosis in Jinchang cohort is chronic bronchitis, and the risk factors are smoking and occupational exposure.
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Affiliation(s)
- J N Cao
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital, Jinchuan Group Co., Ltd, Jinchang 737102, China
| | - J J Huang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Jiang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - H Y Li
- Workers' Hospital, Jinchuan Group Co., Ltd, Jinchang 737102, China
| | - K F Bao
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Ding
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X L Chen
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - L Ma
- Institute of Social Medicine & Health Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X B Hu
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J S Li
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X W Ren
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Cheng
- School of Basic Medical Science, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Ren XY, Shi D, Zhang DS, Ding J, Li HY, Gan T, Pu RY, Bai YN, Cheng N. [Prospective study of relationship between metabolic diseases and stroke in Jinchang Cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:521-525. [PMID: 31177731 DOI: 10.3760/cma.j.issn.0254-6450.2019.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the incidence of stroke in the population of Jinchang Cohort and the relationship between metabolic diseases and stroke, and provide scientific evidence for the prevention and treatment of stroke in the population. Methods: The epidemiological investigation data and physical examination data of the 33 042 follow-up participants in Jinchang Cohort were collected for a prospective cohort study. Restricted cubic splines functions was used to analyze the dose-response relationship between metabolic indexes and the risk of stroke incidence. Results: 1) The incidence rate of stroke in Jinchang Cohort was 1.59%, and the standardized incidence rate was 3.99%. 2) Hypertension (male HR=2.20, female HR=4.45) and dyslipidemia (male HR=1.49, female HR=1.79) were the risk factors of stroke incidence in the population and diabetes had influence on the incidence of stroke only in the males (HR=1.79), while obesity had influence only in the females (HR=1.64). The more kinds of metabolic diseases, the higher risk of stroke incidence was. 3) Systolic blood pressure had a non-linear dose-response correlation with the risk of stroke incidence, while diastolic blood pressure had a positive linear correlation with the risk of stroke incidence. Conclusions: The incidence of stroke in Jinchang Cohort population was high compared with both domestic level and oversea level. The patients with metabolic diseases were the population at high-risk for stroke, and more attention should be paid to them in the prevention and treatment of stroke. Diastolic blood pressure might be more closely related to stroke.
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Affiliation(s)
- X Y Ren
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D Shi
- School of Basic Medical, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - J Ding
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - H Y Li
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - T Gan
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - R Y Pu
- School of Basic Medical, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Cheng
- School of Basic Medical, Lanzhou University, Lanzhou 730000, China
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He CL, Cheng N, Rong YM, Li HY, Li JS, Ding J, Hu XB, Pu HQ, Ren XW, Bai YN. [Risk factors of gout in Jinchang cohort: a Cox regression analysis]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 38:897-901. [PMID: 28738462 DOI: 10.3760/cma.j.issn.0254-6450.2017.07.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the incidence and risk factors of gout in Jinchang cohort and provide scientific evidence for the prevention and control of gout. Methods: People without gout detected by baseline survey in Jinchang cohort were selected as study subjects. All the subjects were followed up through questionnaire interview, physical examination as well as laboratory test from January 24, 2013 to November 24, 2015. Cox regression model was used to analyze the risk factors for gout in Jinchang cohort. In addition, log-linear model was used to analyze the interaction between risk factors. Results: A total of 33 153 subjects were followed up, and there were 277 newly diagnosed gout cases in the cohort. The overall incidence of gout was 0.8%. The incidence of gout in males was higher than that in the females, but the incidence of gout in males and females was similar after the age of 60 years. Cox regression analysis showed that age >40 years (at age 40 to 59 years: HR=2.982, 95%CI: 1.503-5.981; at age 60 to 91 years: HR=2.588, 95%CI: 1.107-6.049), alcohol abuse (HR=2.234, 95% CI: 1.128-4.427), obesity (HR=2.204, 95% CI: 1.216-3.997), diabetes (HR=2.725, 95% CI: 1.500-4.950) and high uric acid (HR=5.963, 95%CI: 3.577-9.943) were risk factors for gout, while weekly beans intake ≥0.25 kg (HR=0.528, 95%CI: 0.345-0.808) and regular physical exercise (HR=0.499, 95% CI: 0.286-0.869) were protective factors for gout. The analysis with log-linear model showed that there were two order effects between the risk factors. Conclusions: Age, beans intake, alcohol abuse, physical exercises, obesity, diabetes and high uric acid were important factors influencing the incidence of gout. It is important to have healthy lifestyle and dietary habits, receive regular health examination to prevent and control the incidence of gout in this cohort.
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Affiliation(s)
- C L He
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Cheng
- Basic Medical College, Lanzhou University, Lanzhou 730000, China
| | - Y M Rong
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - H Y Li
- Workers'Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - J S Li
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Ding
- Workers'Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - X B Hu
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - H Q Pu
- Workers'Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - X W Ren
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Huang JJ, Rong YM, Li RC, Li YL, Yang YX, Bao KF, Zhang JH, Liu YQ, Du XY, Zheng S, Bai YN. [Abuse of diphenoxylate and related factors of forced drug abstainer in Gansu province]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:1222-1227. [PMID: 30293314 DOI: 10.3760/cma.j.issn.0254-6450.2018.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the prevalence of diphenoxylate abuse and related factors of forced drug abstainer in Gansu province. Methods: By using a self-designed questionnaire, an epidemiologic investigation was carried out among 2 108 forced drug abstainer selected from the compulsory isolation detoxification center of Gansu province. A case-control study was conducted to analyze the factors related with diphenoxylate abuse. Results: The diphenoxylate abuse rate among forced drug abstainer in Gansu was 19.8% (406/2 046), ranking first in medical drug abuse. Multiple logistic regression analysis showed that factors as relieving withdrawal symptoms (OR=2.08, 95%CI: 1.01- 4.32), ways to obtain diphenoxylate (other ways: OR=1.00; regular clinic: OR=27.67, 95%CI: 2.64-289.82; friend: OR=0.01, 95%CI: 0.01-0.03), degree of euphoria (high: OR=1.00; medium: OR =3.36, 95%CI: 1.18-9.55; low: OR=26.16, 95%CI: 10.30-66.42), years of drug abuse (<5 years: OR=1.00; 10-15 years: OR=2.48, 95%CI: 1.02-6.04), abuse at home or in friend's house (OR=3.04, 95%CI: 1.08-8.68), abuse in car (OR=0.05, 95%CI: 0.00-0.68) and detoxification for the first time (OR=0.61, 95%CI: 0.43-0.86) were the possible influencing factors for diphenoxylate abuse. Conclusions: The prevalence of diphenoxylate abuse in forced drug abstainer in Gansu was relatively high. Reasons of abusing, the way to obtain diphenoxylate, whether using drug together with friends, degree of euphoria, years of abuse, abuse place and times for detoxification were related factors influencing the abuse of diphenoxylate.
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Affiliation(s)
- J J Huang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y M Rong
- Shandong Provincial Center for Adverse Drug Reaction Monitoring, Jinan 250014, China
| | - R C Li
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y L Li
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y X Yang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - K F Bao
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J H Zhang
- Gansu Provincial Center for Drugs and Medical Devices Adverse Reaction Monitoring, Lanzhou 730000, China
| | - Y Q Liu
- Gansu Provincial Center for Drugs and Medical Devices Adverse Reaction Monitoring, Lanzhou 730000, China
| | - X Y Du
- Gansu Provincial Center for Drugs and Medical Devices Adverse Reaction Monitoring, Lanzhou 730000, China
| | - S Zheng
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Sun ZX, Shi JF, Lan L, Mao AY, Huang HY, Lei HK, Qiu WQ, Dong P, Zhu J, Wang DB, Liu GX, Bai YN, Sun XJ, Liao XZ, Ren JS, Guo LW, Zhou Q, Yang L, Song BB, Du LB, Zhu L, Gong JY, Liu YQ, Ren Y, Mai L, Qin MF, Zhang YZ, Zhou JY, Sun XH, Wu SL, Qi X, Lou PA, Cai B, Zhang K, He J, Dai M. [Constituent and workload of service providers engaged in cancer screening: findings and suggestions from a multi-center survey in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:295-301. [PMID: 29609242 DOI: 10.3760/cma.j.issn.0254-6450.2018.03.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the constituent and workload of service providers engaged in cancer screening in China and provide evidence for the assessment of the sustainability of national cancer screening project. Methods: Using either questionnaire or online approach, the survey was conducted in 16 provinces, where Cancer Screening Program in Urban China (CanSPUC) was conducted, from 2014 to 2015. The medical institutes surveyed included hospitals [71.1% were class Ⅲ(A) hospitals], centers for disease control and prevention (CDCs) and community centers where cancer screening was undertaken during 2013-2015. The questionnaire survey was conducted among the staffs responsible for the overall coordination, management and implementation of the screening project to collect the information about the allocation, workload and compensation of the service providers from different specialties. Results: A total of 4 626 staffs were surveyed in this study, their average age was (37.7±9.5) years, and males accounted for 31.0%. Human resources allocated differed with province. The number of senior staff ranged from 6 (Chongqing) to 43 (Beijing) among the 8 comparable provinces. Among the staffs surveyed, 2 192 were from hospitals, 431 were from CDCs and 1 990 were from community centers, and the staffs who complained heavy workload accounted for 19.9%, 24.6% and 34.1% respectively (P<0.001). Among 227 staffs for overall coordination, 376 management staffs and 3 908 staffs for implementation, those who complained heavy workload accounted for 23.6%, 22.3% and 28.2% respectively (P<0.001). A total of 3 244 staffs (73.8%) got compensations for heavy workload. The compensation types were manly labor fee linked with workload (67.5%) and labor fee regardless workload (26.6%). Conclusion: The province specific differences in human resources allocation indicated the differences in screening project's organizing pattern and capability. It is suggested to conduct routine cancer screening (using specialized staffs), reduce the workload of the first line and community staffs and increase the compensation for the service providers for the sustainability of cancer screening project in China.
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Affiliation(s)
- Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - J F Shi
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - H Y Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H K Lei
- Chongqing Cancer Institute, Chongqing 400030, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J Zhu
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Anhui Medical University, Hefei 230032, China
| | - G X Liu
- Harbin Medical University, Harbin 150056, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Center for Health Management and Policy Research, Shandong University, Jinan 250012, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - J S Ren
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L W Guo
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - L Yang
- Guangxi Medical University, Nanning 530021, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - J Y Gong
- Shandong Tumor Hospital, Jinan 250117, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Ren
- Tieling Central Hospital, Tieling 112000, China
| | - L Mai
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - M F Qin
- Yunnan Cancer Hospital, Kunming 650018, China
| | - Y Z Zhang
- Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - K Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Ma YB, Cheng N, Lu YB, Li HY, Li JS, Ding J, Zheng S, Niu YL, Pu HQ, Shen XP, Mu HD, Hu XB, Zhang DS, Bai YN. [Association between fatty liver and type 2 diabetes in the baseline population of Jinchang Cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:760-764. [PMID: 29936743 DOI: 10.3760/cma.j.issn.0254-6450.2018.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the association between fatty liver and type 2 diabetes mellitus (T2DM) in the baseline-population of Jinchang cohort study. Methods: Data from all the participants involved in the baseline-population of Jinchang cohort study was used, to compare the risks of T2DM in fatty liver and non fatty liver groups and to explore the interaction between family history or fatty liver of diabetes and the prevalence of T2DM. Results: Among all the 46 861 participants, 10 574 were diagnosed as having fatty liver (22.56%), with the standardized rate as 20.66%. Another 3 818 participants were diagnosed as having T2DM (8.15%) with standardized rate as 6.90%. The prevalence of T2DM increased in parallel with the increase of age (trend χ(2)=2 833.671, trend P<0.001). The prevalence of T2DM in the fatty liver group was significantly higher than that in the non-fatty liver group, both in men or women and in the overall population. Compared with the group of non-fatty liver, the risks of T2DM in fatty liver group were seen 1.78 times higher in males, 2.33 times in women and 2.10 times in the overall population, after adjustment for factors as age, levels of education, smoking, drinking, physical exercise, BMI, family history of diabetes and some metabolic indicators (pressure, TC, TG, uric acid, ALT, AST, gamma-glutamyl transferase). Date from the interaction model showed that fatty liver and family history of diabetes present a positive additive interaction on T2DM (RERI=1.18, 95%CI: 0.59-1.78; AP=0.24, 95%CI: 0.14-0.34; S=1.43, 95%CI: 1.21-1.69). Conclusions: Fatty liver could significantly increase the risk of T2DM and a positive additive interaction was also observed between fatty liver and family history of diabetes on T2DM. It was important to strengthen the prevention program on T2DM, in order to effectively control the development of fatty liver.
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Affiliation(s)
- Y B Ma
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Cheng
- Institute of Epidemiology and Statistics,Basic Medical College, Lanzhou University, Lanzhou 730000, China
| | - Y B Lu
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - H Y Li
- Workers' Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - J S Li
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Ding
- Workers' Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - S Zheng
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y L Niu
- Workers' Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - H Q Pu
- Workers' Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - X P Shen
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - H D Mu
- Workers' Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - X B Hu
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group Co, Ltd, Jinchang 737100, China
| | - Y N Bai
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Mao AY, Shi JF, Qiu WQ, Dong P, Sun ZX, Huang HY, Sun XJ, Liu GX, Wang DB, Bai YN, Liao XZ, Ren JS, Guo LW, Lan L, Zhou Q, Zhou JY, Yang L, Wang JL, Qin MF, Zhang YZ, Song BB, Xing XJ, Zhu L, Mai L, Du LB, Liu YQ, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, He J, Dai M. [Willingness of potential service suppliers to provide cancer screening in urban China]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:150-156. [PMID: 29495197 DOI: 10.3760/cma.j.issn.0254-6450.2018.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Based on the investment for potential suppliers of cancer screening services, we assessed the reasons that affecting their participation motivation related to the long-term sustainability of cancer screening in China. Methods: Hospitals that had never been involved in any national level cancer screening project were selected by using the convenient sampling method within the 16 project cities of Cancer Screening Program in Urban China (CanSPUC) with 1 or 2 hospitals for each city. All the managers from the institutional/department level and professional staff working and providing screening services in these hospitals, were interviewed by paper-based questionnaire. SAS 9.4 was used for logical verification and data analysis. Results: A total of 31 hospitals (18 hospitals at the third level and, 13 hospitals at the second level) and 2 201 staff (508 hospital and clinic unit managers, 1 693 professional staff) completed the interview. All the hospitals guaranteed their potential capacity in service providing. 92.5% hospital managers showed strong willingness in providing cancer screening services, while 68.3% of them declared that the project fund-raising function was the responsibility of the government. For professional staff, their prospect gains from providing screening service would include development on professional skills (72.4%) and material rewards (46.8%). Their main worries would include extra work for CanSPUC might interfere their routine work (42.1%) plus inadequate compensation (41.8%). Medians of the prospect compensation for extra work ran between 20 to 90 Chinese Yuan per screening item respectively. For all the screening items, workers from the third-level hospitals expected their compensation to be twice as much of those working at the second level hospitals. Conclusion: Professional capacity building and feasible material incentive seemed to be the two key factors that influenced the sustainability and development of the programs.
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Affiliation(s)
- A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J F Shi
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - H Y Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - G X Liu
- Harbin Medical University, Harbin 150081, China
| | - D B Wang
- Anhui Medical University, Hefei 230032, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - J S Ren
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L W Guo
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - L Yang
- Guangxi Medical University, Nanning 530021, China
| | - J L Wang
- Shandong Tumor Hospital, Jinan 250117, China
| | - M F Qin
- Yunnan Cancer Hospital, Kunming 650118, China
| | - Y Z Zhang
- Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - X J Xing
- Liaoning Cancer Hospital and Institute, Shenyang 110042, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L Mai
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Lei HK, Dong P, Zhou Q, Qiu WQ, Sun ZX, Huang HY, Ren JS, Liu GX, Bai YN, Wang DB, Sun XJ, Liao XZ, Guo LW, Lan L, Liu YQ, Gong JY, Yang L, Xing XJ, Song BB, Mai L, Zhu L, Du LB, Zhang YZ, Zhou JY, Qin MF, Wu SL, Qi X, Sun XH, Lou PA, Cai B, Zhang K, He J, Dai M, Mao AY, Shi JF. [Potential demand on cancer screening service in urban populations in China: a cross-sectional survey]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:289-294. [PMID: 29609241 DOI: 10.3760/cma.j.issn.0254-6450.2018.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the acceptance and personal demand for cancer screening service among the urban residents who had never been involved in any national level cancer screening programs in China and identify the key factors influencing the sustainability of cancer screening. Methods: A questionnaire survey was conducted among the local people aged 40-69 years selected through convenience sampling in 16 provinces of China to collect the general information about their demands for the screening service and others. Results: A total of 16 394 qualified questionnaires were completed. The average age of the people surveyed was (53.8±8.0) years, and men accounted for 44.6%. Without concerning the cost, 4 831 people (29.5%) had no demands for cancer screening services, the reasons are as follow: they would like to go to see doctors only when they were ill (61.8%); they had already received similar medical examinations (36.8%) and they would like to receive cancer screening directly without pre-health risk assessment (33.0%). Among the people surveyed, 10 795 (65.8%) had demands for cancer screening services, but they had choice on the screening settings, 43.7% wanted to receive the service in a general hospitals, while 36.5% would like to go to cancer-specialized hospitals. As for the level of medical institutes providing cancer screening service, 61.4% of the people surveyed would choose a higher level one, while 36.4% would choose an ordinary one. On screening procedures, 61.5% of the people surveyed would accept the mode of "clinical examination after questionnaire-assessment" . Conclusion: Most people surveyed had demands for cancer screening services and they would like to receive the screening services in higher level medical institutes. It is suggested to spread cancer screening know ledge, and strengthen the capability building of screening in grass root medical institutes to attract more people to receive cancer screening.
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Affiliation(s)
- H K Lei
- Chongqing Cancer Institute, Chongqing 400030, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - H Y Huang
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J S Ren
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - G X Liu
- Harbin Medical University, Harbin 150081, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D B Wang
- Anhui Medical University, Hefei 230032, China
| | - X J Sun
- Center for Health Management and Policy of Shandong University, Jinan 250012, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - L W Guo
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - J Y Gong
- Shandong Tumor Hospital, Jinan 250117, China
| | - L Yang
- Guangxi Medical University 530021, China
| | - X J Xing
- Liaoning Cancer Hospital and Institute, Shenyang 110042, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - L Mai
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y Z Zhang
- Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - M F Qin
- Yunnan Cancer Hospital, Kunming 650118, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - K Zhang
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J F Shi
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Zhu J, Huang HY, Mao AY, Sun ZX, Qiu WQ, Lei HK, Dong P, Huang JW, Bai YN, Sun XJ, Liu GX, Wang DB, Liao XZ, Ren JS, Guo LW, Lan L, Zhou Q, Song BB, Liu YQ, Du LB, Zhu L, Cao R, Wang JL, Mai L, Ren Y, Zhou JY, Sun XH, Wu SL, Qi X, Lou PA, Cai B, Li N, Zhang K, He J, Dai M, Shi JF. [Preference on screening frequency and willingness-to-pay for multiple-cancer packaging screening programs in urban populations in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:157-164. [PMID: 29495198 DOI: 10.3760/cma.j.issn.0254-6450.2018.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Objective: From an actual cancer screening service demanders' perspective, we tried to understand the preference on screening frequency and willingness-to-pay for the packaging screening program on common cancers and to evaluate its long-term sustainability in urban populations in China. Methods: From 2012 to 2014, a multi-center cross-sectional survey was conducted among the actual screening participants from 13 provinces covered by the Cancer Screening Program in Urban China (CanSPUC). By face-to-face interview, information regarding to preference to screening frequency, willingness-to-pay for packaging screening program, maximum amount on payment and related reasons for unwillingness were investigated. Results: A total of 31 029 participants were included in this survey, with an average age as (55.2±7.5) years and median annual income per family as 25 000 Chinese Yuan. People's preference to screening frequency varied under different assumptions ( " totally free" and "self-paid" ). When the packaging screening was assumed totally free, 93.9% of residents would prefer to take the screening program every 1 to 3 years. However, the corresponding proportion dropped to 67.3% when assuming a self-paid pattern. 76.7% of the participants had the willingness-to-pay for the packaging screening, but only 11.2% of them would like to pay more than 500 Chinese Yuan (the expenditure of the particular packaging screening were about 1 500 Chinese Yuan). The remaining 23.3% of residents showed no willingness-to-pay, and the main reasons were unaffordable expenditure (71.7%) and feeling'no need'(40.4%). Conclusions: People who participated in the CanSPUC program generally tended to choose high-frequency packaging screening program, indicating the high potential acceptance for scale-up packaging screening, while it needs cautious assessments and rational guidance to the public. Although about seven in ten of the residents were willing to pay, the payment amount was limited, revealing the necessity of strengthening individual's awareness of his or her key role in health self-management, and a reasonable payment proportion should be considered when establishing co-compensation mechanism.
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Affiliation(s)
- J Zhu
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Y Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - H K Lei
- Chongqing Cancer Institute, Chongqing 400030, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J W Huang
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Center for Health Management and Policy of Shandong University, Jinan 250012, China
| | - G X Liu
- Harbin Medical University, Harbin 150081, China
| | - D B Wang
- School of Medical Administration, Anhui Medical University, Hefei 230032, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - J S Ren
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L W Guo
- Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - R Cao
- Guangdong Provincial Institute of Public Health, Guangzhou 511430, China
| | - J L Wang
- Shandong Tumor Hospital, Jinan 250117, China
| | - L Mai
- Henan Cancer Hospital, Zhengzhou 450008, China
| | - Y Ren
- Tieling Central Hospital, Tieling 112000, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - N Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Shi JF, Mao AY, Sun ZX, Lei HK, Qiu WQ, Huang HY, Dong P, Huang JW, Zhu J, Li J, Liu GX, Wang DB, Bai YN, Sun XJ, Liao XZ, Ren JS, Guo LW, Lan L, Zhou Q, Yang L, Song BB, Du LB, Zhu L, Wang JL, Liu YQ, Ren Y, Mai L, Qin MF, Zhang YZ, Zhou JY, Sun XH, Wu SL, Qi X, Lou PA, Cai B, Li N, Zhang K, He J, Dai M. [Willingness and preferences of actual service suppliers regarding cancer screening programs: a multi-center survey in urban China]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:142-149. [PMID: 29495196 DOI: 10.3760/cma.j.issn.0254-6450.2018.02.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Objective: From the perspective of actual service suppliers regarding cancer screening, this study aimed to assess the long-term sustainability of cancer screening programs in China. Methods: Based on a Cancer Screening Program in Urban China (CanSPUC), our survey focused on all the hospitals, centers for disease control and prevention (CDC) and community service centers across 16 provinces in China which participated in the programs between 2013 and 2015. All the managers (institutional/department level) and professional staff involved in the program were interviewed using either paper-based questionnaire or online approach. Results: A total of 4 626 participants completed the interview. It showed that the main gains from providing screening service emphasized promotion in social value (63.6%), local reputation (35.9%), and professional skills (30.6%), whereas difficulties encountered included inadequate compensation (30.9%) and discordance among information systems (28.3%). When the service remuneration amounts to about 50 Chinese Yuan per screening item, those professional staff self-reported that they would like to work overtime. More than half (63.7%) of the staff expressed willingness to provide routine screening service, the main expectations were to promote their reputation to the local residents (48.7%) and to promote professional skills (43.1%). Those who were not willing to provide screening services were worried about the potential heavy workload (59.8%) or being interfered with their routine work (49.8%). Further detailed results regarding the different organization types and program roles were presented in the following detailed report. Conclusions: Findings of gains and difficulties showed that if cancer screening is expected to become a long-term running, incentive mechanism from the program, external promotion and advocacy as well as capacity building should be strengthened; furthermore, rewards to staff's screening services should be raised according to the local situations. Results regarding the "willingness to provide service" showed that management of the program should also be strengthened, including information system building and inter-agency and inter-department coordination at the government levels.
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Affiliation(s)
- J F Shi
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - H K Lei
- Chongqing Cancer Institute, Chongqing 400030, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - H Y Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J W Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Zhu
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - G X Liu
- Harbin Medical University, Harbin 150081, China
| | - D B Wang
- School of Medical Administration, Anhui Medical University, Hefei 230032, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Center for Health Management and Policy of Shandong University, Jinan 250012, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - J S Ren
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L W Guo
- Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - L Yang
- Guangxi Medical University, Nanning 530021, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - J L Wang
- Shandong Tumor Hospital, Jinan 250117, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Ren
- Tieling Central Hospital, Tieling 112000, China
| | - L Mai
- Henan Cancer Hospital, Zhengzhou 450008, China
| | - M F Qin
- Yunnan Cancer Hospital, Kunming 650118, China
| | - Y Z Zhang
- Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - N Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Hu XB, Yang YN, Zhang MY, Miao M, Bai YN, Zheng S, Wang MZ. [Present situation and influencing factors on classroom mobile phone dependence syndrome in college students]. Zhonghua Liu Xing Bing Xue Za Zhi 2017; 38:1352-1357. [PMID: 29060978 DOI: 10.3760/cma.j.issn.0254-6450.2017.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the current situation and influencing factors on Classroom Mobile Phone Dependence Syndrome (CMPDS) among college students, and to provide scientific basis for guiding college students to use mobile phones reasonably and healthily. Methods: Stratified cluster sampling method was used. Students from different majors and different grades in Lanzhou University were included as the research objects. Classes were recognized as a unit in receiving basic field investigation in this questionnaire related study. Informed consent principles were followed and process of survey was anonymously carried out. Results: The overall rate of CMPDS in college students was 8.7%, including 'mild rate' as 6.6% and 'seriously mild rate' as 2.1%. No significant differences were found on genders or grades. Factors as shopping in the classroom shopping (OR=3.720), being bored on courses (OR=1.740), WiFi coverage (OR=1.787), time of practice in the classrooms (OR=1.514), and the total time of daily mobile phone use (OR=1.513) etc, appeared as risk factors related to CMPDS among the college students. However. shooting courseware (OR=0.579) appeared as a protective factor. Conclusions: Rate of CMPDS was high in college students and we suggested to form a joint task force among the college authority, teachers and students to work on the related problems. Hopefully, the serious CMPDS condition will be minimized and both physical and mental health of the college students be improved.
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Affiliation(s)
- X B Hu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y N Yang
- Pediatric Department of Second Hospital Affiliated to Lanzhou University, Lanzhou 730030, China
| | - M Y Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - M Miao
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - S Zheng
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - M Z Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Li XC, Li JS, Meng L, Bai YN, Yu DS, Liu XN, Liu XF, Jiang XJ, Ren XW, Yang XT, Shen XP, Zhang JW. [Study on the classification of dominant pathogens related to febrile respiratory syndrome, based on the method of Bayes discriminant analysis]. Zhonghua Liu Xing Bing Xue Za Zhi 2017; 38:1094-1097. [PMID: 28847061 DOI: 10.3760/cma.j.issn.0254-6450.2017.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Objective: To understand the dominant pathogens of febrile respiratory syndrome (FRS) patients in Gansu province and to establish the Bayes discriminant function in order to identify the patients infected with the dominant pathogens. Methods: FRS patients were collected in various sentinel hospitals of Gansu province from 2009 to 2015 and the dominant pathogens were determined by describing the composition of pathogenic profile. Significant clinical variables were selected by stepwise discriminant analysis to establish the Bayes discriminant function. Results: In the detection of pathogens for FRS, both influenza virus and rhinovirus showed higher positive rates than those caused by other viruses (13.79%, 8.63%), that accounting for 54.38%, 13.73% of total viral positive patients. Most frequently detected bacteria would include Streptococcus pneumoniae, and haemophilus influenza (44.41%, 18.07%) that accounting for 66.21% and 24.55% among the bacterial positive patients. The original-validated rate of discriminant function, established by 11 clinical variables, was 73.1%, with the cross-validated rate as 70.6%. Conclusion: Influenza virus, Rhinovirus, Streptococcus pneumoniae and Haemophilus influenzae were the dominant pathogens of FRS in Gansu province. Results from the Bayes discriminant analysis showed both higher accuracy in the classification of dominant pathogens, and applicative value for FRS.
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Affiliation(s)
- X C Li
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J S Li
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - L Meng
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - Y N Bai
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Yu
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - X N Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X F Liu
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - X J Jiang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - X W Ren
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X T Yang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - X P Shen
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J W Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Qu HM, Bai YN, Kui FR, Hu XB, Pei HB, Ren XW, Shen XP. [Effect of combination model on fitting cancer mortality and prediction]. Zhonghua Liu Xing Bing Xue Za Zhi 2017; 38:117-120. [PMID: 28100389 DOI: 10.3760/cma.j.issn.0254-6450.2017.01.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To reduce the cancer burden in the Jinchang cohort and provide evidence for developing cancer prevention strategies and performing effectiveness evaluation in the Jinchang cohort. We are fitting thirteen years of cancer mortality data from the Jinchang cohort by using six kinds of predicting methods to compare relative fitness and to select good predicting methods for the prediction of cancer mortality trends. Methods: The mortality data of cancer in Jinchnag cohort from 2001-2013 were fitted using six kinds of predicting methods: dynamic series, linear regression, exponential smoothing, autoregressive integrated moving average (ARIMA) model, grey model (GM), and Joinpoint regression. Weight coefficients of combination models were calculated by four methods: the arithmetic average method, the variance inverse method, the mean square error inverse method, and the simple weighted average method. Results: The cancer mortality was fitted and compared by using six kinds of forecasting methods; the fitting precision of the Joinpoint linear regression had the highest accuracy (87.64%), followed by linear regression (87.32%), the dynamic series (86.99%), GM (1, 1) (86.25%), exponential smoothing (85.72%) and ARIMA (1, 0, 0) (81.98%), respectively. Prediction accuracy of the combination model derived from GM (1, 1) and linear regression (>99%) was higher than that of the combination model derived from ARIMA (1, 0, 0) and GM (1, 1). The combination model derived from the GM (1, 1) and linear regression, with weight coefficients based on the arithmetic average method and the mean square error inverse method, had the best prediction effect of the four weight calculation methods. Conclusion: Prediction accuracy of the combination model, with accuracy >95%, was higher than that of the single prediction methods.
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Affiliation(s)
- H M Qu
- Preventive Medicine Teaching and Research Section, Medical College, Northwest University for Nationalities, Lanzhou 730030, China
| | - Y N Bai
- Center for Cancer Prevention and Control of Lanzhou University, Teaching and Research Section of Epidemiology and Biostatistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - F R Kui
- Department of Surgery, The Hospital of Northwest University for Nationalities, Lanzhou 730030, China
| | - X B Hu
- Center for Cancer Prevention and Control of Lanzhou University, Teaching and Research Section of Epidemiology and Biostatistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - H B Pei
- Center for Cancer Prevention and Control of Lanzhou University, Teaching and Research Section of Epidemiology and Biostatistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X W Ren
- Center for Cancer Prevention and Control of Lanzhou University, Teaching and Research Section of Epidemiology and Biostatistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X P Shen
- Center for Cancer Prevention and Control of Lanzhou University, Teaching and Research Section of Epidemiology and Biostatistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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Yan ML, Pan JY, Bai YN, Lai ZD, Chen Z, Wang YD. Adenomas of the common bile duct in familial adenomatous polyposis. World J Gastroenterol 2015; 21:3150-3153. [PMID: 25780319 PMCID: PMC4356941 DOI: 10.3748/wjg.v21.i10.3150] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2014] [Revised: 09/14/2014] [Accepted: 10/15/2014] [Indexed: 02/06/2023] Open
Abstract
Familial adenomatous polyposis (FAP) or Gardner’s syndrome is often accompanied by adenomas of the stomach and duodenum. We experienced a case of adenomas of the common bile duct in a 40-year-old woman with FAP presenting with acute cholangitis. Only 8 cases of adenomas or adenocarcinoma of the common bile duct have been reported in the literature in patients with FAP or Gardner’s syndrome. Those patients presented with acute cholangitis or pancreatitis. Local excision or Whipple procedure may be the reasonable surgical option.
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Zhang T, Huang JW, Bai YN, Wu H, Zeng Y. Recurrence and survivals following hepatic resection for hepatocellular carcinoma with major portal/hepatic vein tumor thrombus. Hepatol Res 2014; 44:761-8. [PMID: 23763458 DOI: 10.1111/hepr.12185] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2013] [Revised: 04/24/2013] [Accepted: 06/10/2013] [Indexed: 02/05/2023]
Abstract
AIM To compare the recurrence and survivals between hepatocellular carcinoma (HCC) with major portal vein tumor thrombus (TT) and major hepatic vein TT after hepatic resection (HR). METHODS A retrospective study was carried out with the medical records of 272 patients who underwent hepatic resection and thrombectomy for HCC with major portal vein (group A) or hepatic vein (group B) TT. The clinicopathological parameters, recurrence, survivals and prognostic significance associated with major portal or hepatic vein TT were analyzed. RESULTS Patients in group A had a better median survival compared with their counterparts in group B (52 vs 38 weeks; P < 0.001). One-, 2- and 3-year survival rates were markedly greater in group A than in group B (50% vs 38.8%, 26% vs 15.9% and 11.4% vs 6.1%, respectively). There was no statistical difference in recurrence-free survival rate but extrahepatic recurrences were more often seen in group B. In multivariate analysis, TT location (hepatic veins vs portal veins), type of resection (anatomical vs non-anatomical) and liver cirrhosis (none/mild vs moderate/severe) were significant prognostic factors. CONCLUSION Patients with HCC and major hepatic vein TT had higher incidence of extrahepatic metastases and worse overall survival after hepatic resection compared with patients with major portal vein TT. With preserved liver function, patients can receive aggressive treatments and survivals could be prolonged.
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Affiliation(s)
- Tao Zhang
- Department of Hepato-Biliary-Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, China
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Luo LX, Yu ZY, Bai YN. Laparoscopic Hepatectomy for Liver Metastases from Colorectal Cancer: A Meta-analysis. J Laparoendosc Adv Surg Tech A 2014; 24:213-22. [PMID: 24571350 DOI: 10.1089/lap.2013.0399] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Affiliation(s)
- Li-Xi Luo
- Department of Hepatobiliary Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
| | - Zhao-Yan Yu
- Department of Hepatobiliary Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
| | - Yan-Nan Bai
- Department of Hepatobiliary Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China
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Bai YN, Zhang T, Wu H, Zeng Y. [Isolation of mouse primary hepatocytes by retrograde liver perfusion with catheterization via heart]. Sichuan Da Xue Xue Bao Yi Xue Ban 2014; 45:138-141. [PMID: 24527601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
OBJECTIVE To explore the effects of retrograde liver perfusion with catheterization via heart on the isolation of primary mouse hepatocytes. METHODS In order to more efficiently isolate primary mouse hepatocytes, we improved the traditional two-step collagenase perfusion method. The liver perfusion catheter was inserted through right atrium and suprahepatic vena cava, and the perfusion velocity was controlled by the drip infusion with collagenase perfusate containing 10% of fetal calf serum. RESULTS Total success rate of catheterization in the improved group was as high as 95%, and the success rate of first at ttempt in the improved group was significantly higher than that in the traditional group (94.7% vs. 68.8%). Liver perfusion in the improved group was symmetrical with the high yield of hepatocytes up to 1.07 x 10(6) per gram of mouse weight and 92.16% of average cell vitality, which were higher than those in the traditional group. CONCLUSION The retrograde liver perfusion through the heart is a simple and easy-to-learn method to isolate mouse primary hepatocytes, which also could guarantee the satisfactory yield and vitality of primary hepatocytes.
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Affiliation(s)
- Yan-Nan Bai
- Department of Hepato-Biliary-Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Tao Zhang
- Department of Hepato-Biliary-Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Hong Wu
- Department of Hepato-Biliary-Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yong Zeng
- Department of Hepato-Biliary-Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
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Abstract
BACKGROUND Due to changes in surgical trends, laparoscopic splenectomy (LS) has become the standard approach for most splenectomies performed for hematological disorders, barring any contraindications. The perioperative outcomes of LS for this indication have not been updated for several years. Controversy still surrounds whether LS should be performed for massive splenomegaly. The purpose of this meta-analysis was to evaluate the perioperative outcomes of laparoscopic splenectomy for hematological disorders. METHODS Literature searches were conducted to identify studies comparing the perioperative outcomes of the laparoscopic and open approaches for hematological disorders. The results were pooled by using standard meta-analysis methods. RESULTS Thirty-eight studies with a total of 2,914 patients comparing LS to open splenectomy (OS) for hematological disorders were identified. Mortality was low in both groups. The pooled complications of the LS group were significantly fewer than those of the OS group (-0.11, p < 0.001), and the NNT was 9 (95 % confidence interval, 6-20). For massive spleens, a similar result was observed (-0.12, p = 0.009). Accessory spleen resection and blood loss also were comparable between the two approaches. Additionally, LS was associated with longer operative times (57.38 min, p < 0.00001) and shorter hospital stays (2.48 days, p < 0.00001). CONCLUSIONS LS is preferred compared to OS, based on lower complication rates and better handling of comorbid conditions. LS is associated with shorter hospital stays but longer operative times. We conclude that LS may be considered an acceptable option even in cases of a massive spleen. To strengthen the clinical evidence, more high-quality clinical trials on different issues are necessary.
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Affiliation(s)
- Yan-Nan Bai
- Department of Hepato-Biliary-Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
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