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Liu M, Li M, Feng H, Jiang X, Zheng R, Zhang X, Li J, Liang X, Zhang L. Risk assessment of persistent incidental pulmonary subsolid nodules to guide appropriate surveillance interval and endpoints. Pulmonology 2025; 31:2423541. [PMID: 39883492 DOI: 10.1080/25310429.2024.2423541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Accepted: 10/22/2024] [Indexed: 01/31/2025] Open
Abstract
Guidelines for the follow-up of pulmonary subsolid nodule (SSN) vary in terms of frequency and criteria for discontinuation. We aimed to evaluate the growth risk of SSNs and define appropriate follow-up intervals and endpoints. The immediate risk (IR) and cumulative risk (CR) of SSN growth were assessed using the Kaplan-Meier method according to nodule consistency and size. Follow-up plans were proposed based on optimal growth risk threshold of 5%. 892 SSNs, comprising 833 pure ground-glass nodules (pGGNs) and 59 part-solid nodules (PSNs) were included. For pGGNs ≤ 6.6 mm, the CR exceeded 5% at every 3-year interval in the first 9 years. For pGGNs measuring 6.6-8.8 mm and >8.8 mm, the IR remained above 5% for the first 2-7 years, and the 2-year CR for pGGNs measuring 6.6-8.8 mm in the 8th and 9th years achieved 6.66%. For PSNs, the IR peaked in the 4th year (44%) and then declined. Therefore, triennial follow-up for 9 years is recommended for pGGNs ≤ 6.6 mm, annual follow-up for 7 years followed by biennial follow-up for 2 years for pGGNs measuring 6.6-8.8 mm, annual follow-up for 7 years for pGGNs > 8.8 mm, and continuous annual follow-up until nodule growth for PSNs.
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Affiliation(s)
- Mengwen Liu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meng Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Feng
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xu Jiang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rongshou Zheng
- National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xue Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianwei Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Liang
- Medical Statistics Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhang T, Wang Y, Chen X, Yang X, Zhang L, Bazzi N, Bai L, Finley A, Jiang J, He J, Liang W. Cost-effectiveness of risk model-based lung cancer screening in smokers and nonsmokers in China. BMC Med 2025; 23:315. [PMID: 40437557 PMCID: PMC12121091 DOI: 10.1186/s12916-025-04065-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2024] [Accepted: 04/10/2025] [Indexed: 06/01/2025] Open
Abstract
BACKGROUND China bears the largest global burden of lung cancer, with a striking 40% of cases occurring in individuals who have never smoked. While the mortality-reducing benefits of low-dose computed tomography (LDCT) for lung cancer screening are established, the quest for an optimal screening strategy continues, considering the potential adverse effects of LDCT. The Chinese NCC-LCm2021 model was developed based on a nationwide population to identify at-risk individuals among smokers and nonsmokers. However, the cost-effectiveness of this model has yet to be determined. METHODS The cost-effectiveness analysis simulates a Chinese birth cohort using a calibrated Markov model based on individual data from a prospective cohort of the Guangzhou Lung Cancer Screening Program. Health utility was extracted from the literature. Cost parameters were obtained from the price of basic medical services in public medical institutions. Our analysis evaluated 236 distinct screening strategies, varying by screening initiation age, risk thresholds, and smoking status. The primary outcomes were quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs). RESULTS For smokers, four strategies on the efficiency frontier yielded incremental QALYs ranging from 0.011 to 0.039 compared to no screening, with ICERs ranging from $21,874 to $55,038 when compared to the previous efficient strategies. The optimal strategy was annual screening of smokers aged 45 years and older with a 3-year risk of lung cancer incidence of 0.55%, offering the largest gain in QALYs at a willingness-to-pay (WTP) threshold of $38,224 (three times GDP per capita). This optimal strategy dominated the 2023 Chinese guideline-recommended strategy. For nonsmokers, the strategies on the efficiency frontier yielded incremental QALYs ranging from 0.006 to 0.041 compared to no screening, with ICERs ranging from $26,517 to $37,994 when compared to the previous efficient strategies. Correspondingly, the optimal strategy is annual screening of nonsmokers aged 45 years and older with a 3-year risk of lung cancer incidence of 0.20%. CONCLUSIONS This economic evaluation found that lung cancer screening strategies based on the Chinese NCC-LCm2021 model were cost-effective for both smokers and non-smokers in China. Furthermore, tailoring risk thresholds to smokers and nonsmokers can enhance the cost-effectiveness of lung cancer screening.
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Affiliation(s)
- Tiantian Zhang
- College of Pharmacy/Southern Institute of Pharmacoeconomics and Health Technology Assessment, Jinan University, Guangzhou, China
| | - Yue Wang
- College of Pharmacy/Southern Institute of Pharmacoeconomics and Health Technology Assessment, Jinan University, Guangzhou, China
| | - Xuechen Chen
- College of Pharmacy/Southern Institute of Pharmacoeconomics and Health Technology Assessment, Jinan University, Guangzhou, China
| | - Xueer Yang
- Department of Pharmacy, The Maternal and Child Health Hospital of Qingyuan, Qingyuan, China
| | - Leyao Zhang
- College of Pharmacy/Southern Institute of Pharmacoeconomics and Health Technology Assessment, Jinan University, Guangzhou, China
| | | | - Ling Bai
- Duke University School of Medicine, Durham, USA
| | - Aaron Finley
- School of Business, Macau University of Science and Technology, Macao, China
| | - Jie Jiang
- College of Pharmacy/Southern Institute of Pharmacoeconomics and Health Technology Assessment, Jinan University, Guangzhou, China.
| | - Jianxing He
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
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Zhang L, Ye JF, Zhao X. "I Saw it Incidentally but Frequently": Exploring the Effects of Online Health Information Scanning on Lung Cancer Screening Behaviors Among Chinese Smokers. HEALTH COMMUNICATION 2025; 40:345-356. [PMID: 38683113 DOI: 10.1080/10410236.2024.2345948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
In China, lung cancer is the most common cancer with high mortality. While prior research suggests that health information scanning influences cancer screening within the general population, a deeper exploration of the underlying mechanisms is imperative. This study specifically targets smokers, aiming to investigate whether online health information scanning can effectively encourage lung cancer screening and elucidate the mechanisms driving this association. Data were extracted from a Chinese national survey conducted between January and September 2023, exclusively involving current smokers (N = 992). A moderated mediation model was employed to examine a cognitive-affective sequential chain of mediation through risk perceptions and cancer worry. Results showed that 99.1% of Chinese smokers reported online health information scanning, which possessed significant influence. Online health information scanning was positively associated with effective lung cancer screening among smokers directly (OR = 1.927, p < .01) and indirectly (OR = .065, p < .001). The perceived threat of smoking and cancer worry served as the cognitive and affective mediating mechanisms. Furthermore, a moderating effect of eHealth literacy was observed (OR = 6.292, p < .05). Smokers with higher eHealth literacy are more inclined to undergo effective lung cancer screening. Based on these findings, public health sectors should leverage online platforms to disseminate tailored cancer screening education and implement initiatives to enhance public eHealth literacy.
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Affiliation(s)
- Luxi Zhang
- Department of Communication/Institute of Collaborative Innovation, University of Macau
| | - Jizhou Francis Ye
- Department of Communication/Institute of Collaborative Innovation, University of Macau
| | - Xinshu Zhao
- Department of Communication/Institute of Collaborative Innovation/Center for Research in Greater Bay Area, University of Macau
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Bian C, Fu C, Xue W, Gu Y, Wang H, Zhang W, Mu G, Yuan M, Chen L, Huang J, Wang Q, Wang J. Three-dimensional reconstruction for determining positional indications of pulmonary segmentectomy/subsegmentectomy for ground glass opacity-dominant clinical T1a-bN0 non-small cell lung cancer. Transl Lung Cancer Res 2024; 13:2947-2957. [PMID: 39670002 PMCID: PMC11632417 DOI: 10.21037/tlcr-24-595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 09/29/2024] [Indexed: 12/14/2024]
Abstract
Background The precision of segmentectomy/subsegmentectomy for ground glass opacity (GGO)-dominant cT1a-bN0 non-small cell lung cancer (NSCLC), including mono-segmentectomy, mono-subsegmentectomy, combined subsegmentectomies, and single segmentectomy with adjacent subsegmentectomy, has improved. The aim of this study is to investigate their positional indications by focusing on the three-dimensional location of lesions, utilizing three-dimensional computed tomography bronchography and angiography (3D-CTBA). Methods We retrospectively analyzed 195 patients with GGO-dominant cT1a-bN0 NSCLC who underwent segmentectomy/subsegmentectomy between August 2015 and November 2020. We included 173 patients: mono-segmentectomy (71, 41.04%), mono-subsegmentectomy (37, 21.39%), combined subsegmentectomies (42, 24.28%), and single segmentectomy with adjacent subsegmentectomy (23,13.29%). Patient demographics and perioperative outcomes were compared among groups to identify positional indications. Results Significant differences were observed among the four groups in terms of lobe location of the lesions and their relationships with adjacent intersegmental veins (P<0.001), but not in their diameter and depth (P=0.33; P=0.79). All groups showed similar surgical margins (P=0.77) despite differences in the number of subsegments resected (P<0.001). No perioperative deaths or postoperative recurrences were reported. For lesions located in the middle region, located inter-segmentally, or with a diameter >1 cm, a greater number of subsegments were resected (P=0.02; P<0.001; P=0.003), while the surgical margins were not inferior to those located in the outer region, located intra-segmentally, or with a diameter ≤1 cm (P=0.29; P=0.77; P=0.46). Conclusions It is the specific lobe in which lesions are located and their relationship with adjacent intersegmental veins that determine the specific surgical procedure of segmentectomy/subsegmentectomy for GGO-dominant cT1a-bN0 NSCLC, rather than their diameter and depth.
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Affiliation(s)
- Chengyu Bian
- Department of Thoracic Surgery, The First People’s Hospital of Changzhou and The Third Affiliated Hospital of Soochow University, Changzhou, China
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chenghao Fu
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wentao Xue
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yan Gu
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hongchang Wang
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wenhao Zhang
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Guang Mu
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Mei Yuan
- Department of Radiology, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Liang Chen
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jingjing Huang
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Qianyun Wang
- Department of Thoracic Surgery, The First People’s Hospital of Changzhou and The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Jun Wang
- Department of Thoracic Surgery, Jiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Xie S, Luo X, Guo Y, Huang X, Long J, Chen Y, Lin P, Xu J, Xu S, Zhao C, Lin B, Su C, Seetharamu N, Divisi D, Jin M, Yu Z. Construction of a risk prediction model for isolated pulmonary nodules 5-15 mm in diameter. Transl Lung Cancer Res 2024; 13:3139-3151. [PMID: 39670012 PMCID: PMC11632445 DOI: 10.21037/tlcr-24-785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Accepted: 10/29/2024] [Indexed: 12/14/2024]
Abstract
Background Based on current technology, the accuracy of detecting malignancy in solitary pulmonary nodules (SPNs) is limited. This study aimed to establish a malignant risk prediction model for SPNs 5-15 mm in diameter. Methods We collected clinical characteristics and imaging features from 317 patients with SPNs 5-15 mm in diameter from the 900th Hospital of the Joint Logistic Support Force as a training cohort and 100 patients with SPNs 5-15 mm in diameter as a validation cohort. Univariate logistic regression analysis, least absolute shrinkage and selection operator (LASSO), and binary logistic regression analysis were used to screen for the independent influencing factors of benign and malignant SPN and to establish a prediction model for benign and malignant SPN with a diameter of 5-15 mm. The model in this study was compared with the Mayo model, Veterans Affairs (VA) model, Brock model, and Peking University People's Hospital (PKUPH) model. Finally, the clinical application value of this model was assessed. Results Univariate logistic regression analysis showed that smoking history, nodule diameter, nodule location, nodule density, margin, calcification, lobulation sign, spiculation sign, and vascular cluster sign were statistically significant factors. The results of LASSO and binary logistic regression analysis showed that smoking history, nodule diameter, nodule density, margin, lobulation sign, and vascular cluster sign were independent influencing factors of SPNs. The prediction model was successfully constructed and demonstrated a good predictive performance, with an area under the curve (AUC) value of 0.814 [95% confidence interval (CI): 0.768-0.861; P<0.001] in the training cohort and 0.864 (95% CI: 0.794-0.934; P<0.001) in the validation cohort. This model was shown to be highly accurate in predicting malignant SPNs and thus has a high clinical application value. Compared with previously described prediction models, including the Mayo model, VA model, Brock model, and PKUPH model, the proposed model demonstrated a significantly superior predictive ability. Conclusions The prediction model developed in this study can be used as an early screening method for SPNs 5-15 mm in diameter.
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Affiliation(s)
- Siting Xie
- Fuzong Clinical Medical College, Fujian Medical University, Fuzhou, China
- Respiratory Department of Xiamen Hongai Hospital, Xiamen, China
| | - Xingguang Luo
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Yuxin Guo
- Fuzong Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Xiulian Huang
- Fuzong Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Jinyu Long
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Ying Chen
- Department of Respiratory and Critical Care Medicine, The 900th Hospital of the Joint Logistic Support Force, People’s Liberation Army of China, Fuzhou, China
| | - Ping Lin
- Department of Respiratory and Critical Care Medicine, The 900th Hospital of the Joint Logistic Support Force, People’s Liberation Army of China, Fuzhou, China
| | - Jinhe Xu
- Fuzong Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Shangwen Xu
- Department of Medical Imaging, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, People’s Liberation Army of China, Fuzhou, China
| | - Chunlei Zhao
- Department of Medical Imaging, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, People’s Liberation Army of China, Fuzhou, China
| | - Baoquan Lin
- Department of cardiothoracic surgery, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, People’s Liberation Army of China, Fuzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Nagarashee Seetharamu
- Division of Medical Oncology and Hematology, Northwell Health Cancer Institute, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY, USA
| | - Duilio Divisi
- Department of Life, Health and Environmental Sciences, Thoracic Surgery Unit, University of L’Aquila, L’Aquila, Italy
| | - Mingliang Jin
- Department of Respiratory and Critical Care Medicine, The 900th Hospital of the Joint Logistic Support Force, People’s Liberation Army of China, Fuzhou, China
| | - Zongyang Yu
- Department of Pulmonary and Critical Care Medicine, Fuzhou General Hospital of Fujian Medical University, Dongfang Hospital of Xiamen University, The 900th Hospital of the Joint Logistic Support Force, People’s Liberation Army of China, Fuzhou, China
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Wang N, Xiao W, Tang Q, Hu W, Wang S, Zhang Z, Huang F. Plasma nicotine and its metabolite as biomarkers of tobacco exposure and their relevance to pulmonary nodule. Biomark Med 2024; 18:1061-1073. [PMID: 39564794 PMCID: PMC11633419 DOI: 10.1080/17520363.2024.2422809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 10/25/2024] [Indexed: 11/21/2024] Open
Abstract
Aim: Explore the optimal cut-off values for plasma nicotine and its metabolites in assessing smoking status and quantify the association between individual tobacco exposure and pulmonary nodules (PNs).Materials & methods: A total of 2245 plasma samples were included for the determination of nicotine (Nic), cotinine (Cot) and trans-3'-hydroxycotinine (OHCot) concentrations. The receiver operating characteristic curve was used to determine the optimal biomarkers reflecting smoking status. Binary logistic regression, restricted cubic spline and generalized linear model were used to analyze the association of nicotine and its metabolites with PNs. Quantile g-computation was used to investigate the mixed effects between them.Results: Cot was found to be the best biomarker of self-reported active-passive smoking, with optimal thresholds of 9.06 and 1.26 ng/ml, respectively. Except for OHCot, increased concentrations of Cot, Nic, total nicotine equivalent (TNE2) and TNE3 were significantly positively associated with the risk of PNs, whereas nicotine metabolite ratio presented a negative association. The mixed effects of OHCot, Cot and Nic were associated with PNs, with an odds ratio of 1.17 and a 95% CI of 1.05-1.30.Conclusion: Nicotine and its metabolites as potential biomarkers of tobacco exposure were significantly associated with PNs.
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Affiliation(s)
- Na Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Wei Xiao
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Qian Tang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Wenlei Hu
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Sheng Wang
- The Center for Scientific Research of Anhui Medical University, Hefei, Anhui, 230032, China
| | - Zhihua Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
| | - Fen Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China
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Yang Y, Du P, Hou X, Yan K, Dai Y, Sun Z, Wu Q, Li S, Yan Y, Wang Z, Qi L, Chen M, Zheng H, Gao W, Gao M, Xue W, Zhang X. Early cancer screening surveillance in one medical center of China. PeerJ 2024; 12:e18179. [PMID: 39351369 PMCID: PMC11441387 DOI: 10.7717/peerj.18179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 09/04/2024] [Indexed: 10/04/2024] Open
Abstract
Objectives Cancer screening aims to detect and treat malignant lesions at an early stage and to prolong patients' lifetime. There is still a lack of effective cancer screening programs in China. We initiated a screening project in 2018 and this study presented the cancer screening status in China. Methods We conducted a cross-sectional study in one cancer-care medical center of China. The screening program included routine blood tests, plasma tumor markers, gastric endoscopy, colonoscopy, ultrasound, and computed tomography (CT) scans. Screening results were presented as sensitivity, specificity and positive predictive values (PPVs). Results Twenty-three (1.46%) out of 1,576 participants were eventually diagnosed with malignant tumors or high-grade intraepithelial neoplasia (HGIN). A family history of malignancy (78.26% in diagnosed cancer and HGIN vs. 46.36% in the others) was the only statistically significant parameter associated with cancer detection (p = 0.002). None of the common tumor markers were associated with the cancers screened. Except for colonoscopy (50.00%) and ultrasound for renal cancer (66.67%), the sensitivities of most screening methods were 100%. The specificities of all the screening means were above 96%. Most PPVs ranged from 30-60%. Conclusion We emphasized risk stratification for early cancer screening, such as a family history of cancer. The survey illustrated that gastric endoscopy, colonoscopy, ultrasound, and lung CT for early cancer screening had high specificity, reasonable sensitivity, and PPV. We anticipated this report would motivate larger-sample studies to estimate the risk-to-benefit ratio of cancer screening and urge the establishment of a native Chinese screening project and even guidelines.
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Affiliation(s)
- Ying Yang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China
| | - Peng Du
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Urology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaolu Hou
- Western Beijing Cancer Hospital, Beijing, China
| | - Kun Yan
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Ultrasonography, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Dai
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Ultrasonography, Peking University Cancer Hospital & Institute, Beijing, China
| | - ZhiYing Sun
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Ultrasonography, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qi Wu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Endoscopy, Peking University Cancer Hospital & Institute, Beijing, China
| | - Shijie Li
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Endoscopy, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yan Yan
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Endoscopy, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhilong Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Liping Qi
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Mailin Chen
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hong Zheng
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Gynecologic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Weijiao Gao
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Gynecologic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Min Gao
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Gynecologic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Weicheng Xue
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaodong Zhang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China
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Campos MR, Rodrigues JM, Marques AP, Faria LV, Valerio TS, da Silva MJS, Pires DC, Chaves LA, Cardoso CHD, Campos SR, Emmerick ICM. Smoking, mortality, access to diagnosis, and treatment of lung cancer in Brazil. Rev Saude Publica 2024; 58:18. [PMID: 38747866 PMCID: PMC11090611 DOI: 10.11606/s1518-8787.2024058005704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/13/2023] [Indexed: 05/19/2024] Open
Abstract
INTRODUCTION Lung cancer (LC) is a relevant public health problem in Brazil and worldwide, given its high incidence and mortality. Thus, the objective of this study is to analyze the distribution of smoking and smoking status according to sociodemographic characteristics and disparities in access, treatment, and mortality due to LC in Brazil in 2013 and 2019. METHOD Retrospective study of triangulation of national data sources: a) analysis of the distribution of smoking, based on the National Survey of Health (PNS); b) investigation of LC records via Hospital-based Cancer Registry (HCR); and c) distribution of mortality due to LC in the Mortality Information System (SIM). RESULTS There was a decrease in the percentage of people who had never smoked from 2013 (68.5%) to 2019 (60.2%) and in smoking history (pack-years). This was observed to be greater in men, people of older age groups, and those with less education. Concerning patients registered in the HCR, entry into the healthcare service occurs at the age of 50, and only 19% have never smoked. While smokers in the population are mainly Mixed-race, patients in the HCR are primarily White. As for the initial stage (I and II), it is more common in White people and people who have never smoked. The mortality rate varied from 1.00 for people with higher education to 3.36 for people without education. Furthermore, White people have a mortality rate three times higher than that of Black and mixed-race people. CONCLUSION This article highlighted relevant sociodemographic disparities in access to LC diagnosis, treatment, and mortality. Therefore, the recommendation is to strengthen the Population-Based Cancer Registry and develop and implement a nationwide LC screening strategy in Brazil since combined prevention and early diagnosis strategies work better in controlling mortality from the disease and continued investment in tobacco prevention and control policies.
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Affiliation(s)
- Mônica Rodrigues Campos
- Fundação Oswaldo CruzEscola Nacional de Saúde Pública Sérgio AroucaDepartamento de Ciências SociaisRio de JaneiroRJBrasilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Ciências Sociais. Rio de Janeiro, RJ, Brasil
| | - Jessica Muzy Rodrigues
- Fundação Oswaldo CruzInstituto de Comunicação e Informação Científica e Tecnológica em SaúdeLaboratório de Informação em SaúdeRio de JaneiroRJBrasilFundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Laboratório de Informação em Saúde. Rio de Janeiro, RJ, Brasil
| | - Aline Pinto Marques
- Fundação Oswaldo CruzInstituto de Comunicação e Informação Científica e Tecnológica em SaúdeLaboratório de Informação em SaúdeRio de JaneiroRJBrasilFundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Laboratório de Informação em Saúde. Rio de Janeiro, RJ, Brasil
| | - Lara Vinhal Faria
- Fundação Oswaldo CruzEscola Nacional de Saúde Pública Sérgio AroucaPrograma de Pós-Graduação em Saúde PúblicaRio de JaneiroRJBrasilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Programa de Pós-Graduação em Saúde Pública. Rio de Janeiro, RJ, Brasil
| | - Tayná Sequeira Valerio
- Instituto Nacional de CâncerDivisão de EnsinoRio de JaneiroRJBrasilInstituto Nacional de Câncer. Divisão de Ensino. Rio de Janeiro, RJ, Brasil
| | - Mario Jorge Sobreira da Silva
- Instituto Nacional de CâncerDivisão de EnsinoRio de JaneiroRJBrasilInstituto Nacional de Câncer. Divisão de Ensino. Rio de Janeiro, RJ, Brasil
| | - Debora Castanheira Pires
- Fundação Oswaldo CruzInstituto Nacional de Infectologia Evandro ChagasLaboratório de Pesquisa Clínica em DST e AidsRio de JaneiroRJBrasilFundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST e Aids. Rio de Janeiro, RJ, Brasil
| | - Luisa Arueira Chaves
- Universidade Federal do Rio de JaneiroInstituto de Ciências FarmacêuticasMacaéRJBrasilUniversidade Federal do Rio de Janeiro. Instituto de Ciências Farmacêuticas. Macaé, RJ, Brasil
| | - Carlos Henrique Dantas Cardoso
- Universidade Federal do Rio de JaneiroInstituto de Educação em Ciências e SaúdePrograma de Pós-Graduação em Educação, Ciências e SaúdeRio de JaneiroRJBrasilUniversidade Federal do Rio de Janeiro. Instituto de Educação em Ciências e Saúde. Programa de Pós-Graduação em Educação, Ciências e Saúde. Rio de Janeiro, RJ, Brasil
| | - Silvio Rodrigues Campos
- Fundação Oswaldo CruzEscola Nacional de Saúde Pública Sérgio AroucaRio de JaneiroRJBrasilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Rio de Janeiro, RJ, Brasil
| | - Isabel Cristina Martins Emmerick
- University of MassachusettsUMass Chan Medical SchoolDepartment of SurgeryWorcesterMAEstados Unidos University of Massachusetts. UMass Chan Medical School. Department of Surgery. Worcester, MA, Estados Unidos
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Bao T, Liu B, Li R, Li Z, Ji G, Wang Y, Yang H, Li W, Huang W, Huang Y, Tang H. LDCT screening results among eligible and ineligible screening candidates in preventive health check-ups population: a real world study in West China. Sci Rep 2024; 14:4848. [PMID: 38418532 PMCID: PMC10902338 DOI: 10.1038/s41598-024-55475-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 02/23/2024] [Indexed: 03/01/2024] Open
Abstract
To compare the LDCT screening results between eligible and ineligible screening candidates in preventive health check-ups population. Using a real-world LDCT screening results among people who took yearly health check-up in health management center of West China Hospital between 2006 and 2017. Objects were classified according to the China National Lung Cancer Screening Guideline with Low-dose Computed Tomography (2018 version) eligibility criteria. Descriptive analysis were performed between eligible and ineligible screening candidates. The proportion of ineligible screening candidates was 64.13% (10,259), and among them there were 4005 (39.04%) subjects with positive screenings, 80 cases had a surgical lung biopsy. Pathology results from lung biopsy revealed 154 cancers (true-positive) and 26 benign results (false-positive), the surgical false-positive biopsy rate was 4.17%, and ineligible group (7.69%) was higher than eligible group (2.47%), P < 0.05. Further, in ineligible screening candidates, the proportion of current smokers was higher among males compared to females (53.85% vs. 4.88%, P < 0.05). Of the 69 lung cancer patients detected in ineligible screening candidates, lung adenocarcinoma accounts for a high proportion of lung cancers both in male (75.00%) and female (85.00%). The proportion of ineligible screening candidates and the surgical false-positive biopsy rate in ineligible candidates were both high in health check-ups population.
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Affiliation(s)
- Ting Bao
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- Translational Informatics Center, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610212, China
| | - Bingqing Liu
- West China School of Public Health, Department of Epidemiology and Health Statistics, Sichuan University, Chengdu, 610041, China
| | - Ruicen Li
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhenzhen Li
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Guiyi Ji
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Youjuan Wang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Hanwei Yang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Weimin Li
- Department of Pulmonary and Critical Care Medicine, Sichuan University West China Hospital, Chengdu, 610041, China
| | - Wenxia Huang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Yan Huang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Huairong Tang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Teng J, Yao W, Li W, Cheng Y, Li J, Xu H, Xu W. [Effectiveness Evaluation of Low-dose Spiral Computed Tomography
for Lung Cancer Screening in Minhang District of Shanghai]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2024; 27:13-24. [PMID: 38296622 PMCID: PMC10899002 DOI: 10.3779/j.issn.1009-3419.2023.102.46] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Indexed: 02/02/2024]
Abstract
BACKGROUND Low-dose spiral computed tomography (LDCT) has been recommended for lung cancer screening in high-risk populations. However, evidence from Chinese populations was limited due to the different criteria for high-risk populations and the short-term follow-up period. This study aimed to evaluate the effectiveness in Chinese adults based on the Lung Cancer Screening Program in Minhang District of Shanghai initiated in 2013. METHODS A total of 26,124 subjects aged 40 years or above were enrolled in the Lung Cancer Screening Program during the period of 2013 and 2017. Results of LDCT examination, and screen-detected cancer cases in all participants were obtained from the Reporting System of the Lung Cancer Screening Program. The newly-diagnosed cases and their vital status up to December 31, 2020 were identified through a record linkage with the Shanghai Cancer Registry and the Shanghai Vital Statistics. Standardized incidence ratio (SIR) and 95%CI were calculated using the local population at ages of 40 or above as the reference. Proportions of early-stage cancer (stage 0-I), pathological types, and 5-year observed survival rates of lung cancer cases were estimated and compared between the cases derived from the screened and non-screened populations. Cox regression models were applied to evaluate the hazard ratio (HR) and 95%CI of LDCT screening with all-cause death of the lung cancer cases. RESULTS The crude and age-standardized incidence of lung cancer in screened population were 373.3 (95%CI: 343.1-406.1) and 70.3 per 100,000 person-years, respectively, with an SIR of 1.8 (95%CI: 1.6-1.9), which was observed to decrease with following-up time. The early-stage cancer accounted for 49.4% of all lung cancer cases derived from the screened population, significantly higher than 38.4% in cases from the non-screened population during the same period (P<0.05). The proportion of lung adenocarcinoma (40.7% vs 35.9%) and 5-year survival rate (53.7% vs 41.5%) were also significantly higher in the cases from the screened population (all P<0.05). LDCT screening was associated with 30% (HR=0.7, 95%CI: 0.6-0.8) reduced all-cause deaths of the cases. CONCLUSIONS The participants of the screening program are at high-risk of lung cancer. LDCT favors the early-detection of lung cancer and improves 5-year survival of the screened cases, indicating a great potential of LDCT in reducing the disease burden of lung cancer in Chinese populations.
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Affiliation(s)
- Jiaoyue Teng
- Fudan University School of Public Health, Shanghai 200032, China
| | - Weiyuan Yao
- Fudan University School of Public Health, Shanghai 200032, China
| | - Weixi Li
- Center for Disease Prevention and Control in Minhang District of Shanghai, Shanghai 201103, China
| | - Yingling Cheng
- Center for Disease Prevention and Control in Minhang District of Shanghai, Shanghai 201103, China
| | - Jun Li
- Center for Disease Prevention and Control in Minhang District of Shanghai, Shanghai 201103, China
| | - Huilin Xu
- Center for Disease Prevention and Control in Minhang District of Shanghai, Shanghai 201103, China
| | - Wanghong Xu
- Fudan University School of Public Health, Shanghai 200032, China
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