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Girardi F, Matz M, Stiller C, You H, Marcos Gragera R, Valkov MY, Bulliard JL, De P, Morrison D, Wanner M, O'Brian DK, Saint-Jacques N, Coleman MP, Allemani C, Hamdi-Chérif M, Kara L, Meguenni K, Regagba D, Bayo S, Cheick Bougadari T, Manraj SS, Bendahhou K, Ladipo A, Ogunbiyi OJ, Somdyala NIM, Chaplin MA, Moreno F, Calabrano GH, Espinola SB, Carballo Quintero B, Fita R, Laspada WD, Ibañez SG, Lima CA, Da Costa AM, De Souza PCF, Chaves J, Laporte CA, Curado MP, de Oliveira JC, Veneziano CLA, Veneziano DB, Almeida ABM, Latorre MRDO, Rebelo MS, Santos MO, Azevedo e Silva G, Galaz JC, Aparicio Aravena M, Sanhueza Monsalve J, Herrmann DA, Vargas S, Herrera VM, Uribe CJ, Bravo LE, Garcia LS, Arias-Ortiz NE, Morantes D, Jurado DM, Yépez Chamorro MC, Delgado S, Ramirez M, Galán Alvarez YH, Torres P, Martínez-Reyes F, Jaramillo L, Quinto R, Castillo J, Mendoza M, Cueva P, Yépez JG, Bhakkan B, Deloumeaux J, Joachim C, Macni J, Carrillo R, Shalkow Klincovstein J, Rivera Gomez R, Perez P, Poquioma E, Tortolero-Luna G, Zavala D, Alonso R, Barrios E, Eckstrand A, Nikiforuk C, Woods RR, Noonan G, Turner D, Kumar E, Zhang B, Dowden JJ, Doyle GP, Saint-Jacques N, Walsh G, Anam A, De P, McClure CA, Vriends KA, Bertrand C, Ramanakumar AV, Davis L, Kozie S, Freeman T, George JT, Avila RM, O’Brien DK, Holt A, Almon L, Kwong S, Morris C, Rycroft R, Mueller L, Phillips CE, Brown H, Cromartie B, Ruterbusch J, Schwartz AG, Levin GM, Wohler B, Bayakly R, Ward KC, Gomez SL, McKinley M, Cress R, Davis J, Hernandez B, Johnson CJ, Morawski BM, Ruppert LP, Bentler S, Charlton ME, Huang B, Tucker TC, Deapen D, Liu L, Hsieh MC, Wu XC, Schwenn M, Stern K, Gershman ST, Knowlton RC, Alverson G, Weaver T, Desai J, Rogers DB, Jackson-Thompson J, Lemons D, Zimmerman HJ, Hood M, Roberts-Johnson J, Hammond W, Rees JR, Pawlish KS, Stroup A, Key C, Wiggins C, Kahn AR, Schymura MJ, Radhakrishnan S, Rao C, Giljahn LK, Slocumb RM, Dabbs C, Espinoza RE, Aird KG, Beran T, Rubertone JJ, Slack SJ, Oh J, Janes TA, Schwartz SM, Chiodini SC, Hurley DM, Whiteside MA, Rai S, Williams MA, Herget K, Sweeney C, Kachajian J, Keitheri Cheteri MB, Migliore Santiago P, Blankenship SE, Conaway JL, Borchers R, Malicki R, Espinoza J, Grandpre J, Weir HK, Wilson R, Edwards BK, Mariotto A, Rodriguez-Galindo C, Wang N, Yang L, Chen JS, Zhou Y, He YT, Song GH, Gu XP, Mei D, Mu HJ, Ge HM, Wu TH, Li YY, Zhao DL, Jin F, Zhang JH, Zhu FD, Junhua Q, Yang YL, Jiang CX, Biao W, Wang J, Li QL, Yi H, Zhou X, Dong J, Li W, Fu FX, Liu SZ, Chen JG, Zhu J, Li YH, Lu YQ, Fan M, Huang SQ, Guo GP, Zhaolai H, Wei K, Chen WQ, Wei W, Zeng H, Demetriou AV, Mang WK, Ngan KC, Kataki AC, Krishnatreya M, Jayalekshmi PA, Sebastian P, George PS, Mathew A, Nandakumar A, Malekzadeh R, Roshandel G, Keinan-Boker L, Silverman BG, Ito H, Koyanagi Y, Sato M, Tobori F, Nakata I, Teramoto N, Hattori M, Kaizaki Y, Moki F, Sugiyama H, Utada M, Nishimura M, Yoshida K, Kurosawa K, Nemoto Y, Narimatsu H, Sakaguchi M, Kanemura S, Naito M, Narisawa R, Miyashiro I, Nakata K, Mori D, Yoshitake M, Oki I, Fukushima N, Shibata A, Iwasa K, Ono C, Matsuda T, Nimri O, Jung KW, Won YJ, Alawadhi E, Elbasmi A, Ab Manan A, Adam F, Nansalmaa E, Tudev U, Ochir C, Al Khater AM, El Mistiri MM, Lim GH, Teo YY, Chiang CJ, Lee WC, Buasom R, Sangrajrang S, Suwanrungruang K, Vatanasapt P, Daoprasert K, Pongnikorn D, Leklob A, Sangkitipaiboon S, Geater SL, Sriplung H, Ceylan O, Kög I, Dirican O, Köse T, Gurbuz T, Karaşahin FE, Turhan D, Aktaş U, Halat Y, Eser S, Yakut CI, Altinisik M, Cavusoglu Y, Türkköylü A, Üçüncü N, Hackl M, Zborovskaya AA, Aleinikova OV, Henau K, Van Eycken L, Atanasov TY, Valerianova Z, Šekerija M, Dušek L, Zvolský M, Steinrud Mørch L, Storm H, Wessel Skovlund C, Innos K, Mägi M, Malila N, Seppä K, Jégu J, Velten M, Cornet E, Troussard X, Bouvier AM, Guizard AV, Bouvier V, Launoy G, Dabakuyo Yonli S, Poillot ML, Maynadié M, Mounier M, Vaconnet L, Woronoff AS, Daoulas M, Robaszkiewicz M, Clavel J, Poulalhon C, Desandes E, Lacour B, Baldi I, Amadeo B, Coureau G, Monnereau A, Orazio S, Audoin M, D’Almeida TC, Boyer S, Hammas K, Trétarre B, Colonna M, Delafosse P, Plouvier S, Cowppli-Bony A, Molinié F, Bara S, Ganry O, Lapôtre-Ledoux B, Daubisse-Marliac L, Bossard N, Uhry Z, Estève J, Stabenow R, Wilsdorf-Köhler H, Eberle A, Luttmann S, Löhden I, Nennecke AL, Kieschke J, Sirri E, Justenhoven C, Reinwald F, Holleczek B, Eisemann N, Katalinic A, Asquez RA, Kumar V, Petridou E, Ólafsdóttir EJ, Tryggvadóttir L, Murray DE, Walsh PM, Sundseth H, Harney M, Mazzoleni G, Vittadello F, Coviello E, Cuccaro F, Galasso R, Sampietro G, Giacomin A, Magoni M, Ardizzone A, D’Argenzio A, Di Prima AA, Ippolito A, Lavecchia AM, Sutera Sardo A, Gola G, Ballotari P, Giacomazzi E, Ferretti S, Dal Maso L, Serraino D, Celesia MV, Filiberti RA, Pannozzo F, Melcarne A, Quarta F, Andreano A, Russo AG, Carrozzi G, Cirilli C, Cavalieri d’Oro L, Rognoni M, Fusco M, Vitale MF, Usala M, Cusimano R, Mazzucco W, Michiara M, Sgargi P, Boschetti L, Marguati S, Chiaranda G, Seghini P, Maule MM, Merletti F, Spata E, Tumino R, Mancuso P, Cassetti T, Sassatelli R, Falcini F, Giorgetti S, Caiazzo AL, Cavallo R, Piras D, Bella F, Madeddu A, Fanetti AC, Maspero S, Carone S, Mincuzzi A, Candela G, Scuderi T, Gentilini MA, Rizzello R, Rosso S, Caldarella A, Intrieri T, Bianconi F, Contiero P, Tagliabue G, Rugge M, Zorzi M, Beggiato S, Brustolin A, Gatta G, De Angelis R, Vicentini M, Zanetti R, Stracci F, Maurina A, Oniščuka M, Mousavi M, Steponaviciene L, Vincerževskienė I, Azzopardi MJ, Calleja N, Siesling S, Visser O, Johannesen TB, Larønningen S, Trojanowski M, Macek P, Mierzwa T, Rachtan J, Rosińska A, Kępska K, Kościańska B, Barna K, Sulkowska U, Gebauer T, Łapińska JB, Wójcik-Tomaszewska J, Motnyk M, Patro A, Gos A, Sikorska K, Bielska-Lasota M, Didkowska JA, Wojciechowska U, Forjaz de Lacerda G, Rego RA, Carrito B, Pais A, Bento MJ, Rodrigues J, Lourenço A, Mayer-da-Silva A, Coza D, Todescu AI, Valkov MY, Gusenkova L, Lazarevich O, Prudnikova O, Vjushkov DM, Egorova A, Orlov A, Pikalova LV, Zhuikova LD, Adamcik J, Safaei Diba C, Zadnik V, Žagar T, De-La-Cruz M, Lopez-de-Munain A, Aleman A, Rojas D, Chillarón RJ, Navarro AIM, Marcos-Gragera R, Puigdemont M, Rodríguez-Barranco M, Sánchez Perez MJ, Franch Sureda P, Ramos Montserrat M, Chirlaque López MD, Sánchez Gil A, Ardanaz E, Guevara M, Cañete-Nieto A, Peris-Bonet R, Carulla M, Galceran J, Almela F, Sabater C, Khan S, Pettersson D, Dickman P, Staehelin K, Struchen B, Egger Hayoz C, Rapiti E, Schaffar R, Went P, Mousavi SM, Bulliard JL, Maspoli-Conconi M, Kuehni CE, Redmond SM, Bordoni A, Ortelli L, Chiolero A, Konzelmann I, Rohrmann S, Wanner M, Broggio J, Rashbass J, Stiller C, Fitzpatrick D, Gavin A, Morrison DS, Thomson CS, Greene G, Huws DW, Grayson M, Rawcliffe H, Allemani C, Coleman MP, Di Carlo V, Girardi F, Matz M, Minicozzi P, Sanz N, Ssenyonga N, James D, Stephens R, Chalker E, Smith M, Gugusheff J, You H, Qin Li S, Dugdale S, Moore J, Philpot S, Pfeiffer R, Thomas H, Silva Ragaini B, Venn AJ, Evans SM, Te Marvelde L, Savietto V, Trevithick R, Aitken J, Currow D, Fowler C, Lewis C. Global survival trends for brain tumors, by histology: analysis of individual records for 556,237 adults diagnosed in 59 countries during 2000-2014 (CONCORD-3). Neuro Oncol 2023; 25:580-592. [PMID: 36355361 PMCID: PMC10013649 DOI: 10.1093/neuonc/noac217] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Survival is a key metric of the effectiveness of a health system in managing cancer. We set out to provide a comprehensive examination of worldwide variation and trends in survival from brain tumors in adults, by histology. METHODS We analyzed individual data for adults (15-99 years) diagnosed with a brain tumor (ICD-O-3 topography code C71) during 2000-2014, regardless of tumor behavior. Data underwent a 3-phase quality control as part of CONCORD-3. We estimated net survival for 11 histology groups, using the unbiased nonparametric Pohar Perme estimator. RESULTS The study included 556,237 adults. In 2010-2014, the global range in age-standardized 5-year net survival for the most common sub-types was broad: in the range 20%-38% for diffuse and anaplastic astrocytoma, from 4% to 17% for glioblastoma, and between 32% and 69% for oligodendroglioma. For patients with glioblastoma, the largest gains in survival occurred between 2000-2004 and 2005-2009. These improvements were more noticeable among adults diagnosed aged 40-70 years than among younger adults. CONCLUSIONS To the best of our knowledge, this study provides the largest account to date of global trends in population-based survival for brain tumors by histology in adults. We have highlighted remarkable gains in 5-year survival from glioblastoma since 2005, providing large-scale empirical evidence on the uptake of chemoradiation at population level. Worldwide, survival improvements have been extensive, but some countries still lag behind. Our findings may help clinicians involved in national and international tumor pathway boards to promote initiatives aimed at more extensive implementation of clinical guidelines.
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Affiliation(s)
- Fabio Girardi
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK.,Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.,Division of Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Melissa Matz
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK
| | - Charles Stiller
- National Cancer Registration and Analysis Service, Public Health England, London, UK
| | - Hui You
- Cancer Information Analysis Unit, Cancer Institute NSW, St Leonards, New South Wales, Australia
| | - Rafael Marcos Gragera
- Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, Girona, Spain
| | - Mikhail Y Valkov
- Department of Radiology, Radiotherapy and Oncology, Northern State Medical University, Arkhangelsk, Russia
| | - Jean-Luc Bulliard
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.,Neuchâtel and Jura Tumour Registry, Neuchâtel, Switzerland
| | - Prithwish De
- Surveillance and Cancer Registry, and Research Office, Clinical Institutes and Quality Programs, Ontario Health, Toronto, Ontario, Canada
| | - David Morrison
- Scottish Cancer Registry, Public Health Scotland, Edinburgh, UK
| | - Miriam Wanner
- Cancer Registry Zürich, Zug, Schaffhausen and Schwyz, University Hospital Zürich, Zürich, Switzerland
| | - David K O'Brian
- Alaska Cancer Registry, Alaska Department of Health and Social Services, Anchorage, Alaska, USA
| | - Nathalie Saint-Jacques
- Department of Medicine and Community Health and Epidemiology, Centre for Clinical Research, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Michel P Coleman
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK.,Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK
| | - Claudia Allemani
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK
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Abstract
Cervical cancer is the fourth most common malignant tumor in women worldwide, cervical cancer is also the only malignant tumor that is considered to be a known cause in human tumors, however, there is no significant decline in cervical cancer morbidity and mortality. It is estimated that there were about 570, 000 new cases of cervical cancer in the world in 2018, accounting for 3.15% of all cancer cases; and there were about 310, 000 deaths of cervical cancer, accounting for 3.26% of all cancer deaths. The burden of cervical cancer worldwide is severe. The article summarizes the epidemiological trends of cervical cancer worldwide with the latest data, and provides etiological basis and theoretical support for the prevention and treatment of cervical cancer in women.
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Affiliation(s)
- D J Li
- Cancer Institute, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - J Shi
- Cancer Institute, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - J Jin
- Cancer Institute, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - N Y Du
- Department of Gynecology, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - Y T He
- Cancer Institute, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
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He YT, Liu YY, Gao W, Hu JJ, Ma XY, Xia CJ, Chen SH, Wang J, Liang D, Shi J, Shan BE. [Analysis for the breast cancer screening among urban population in Hebei province, 2018-2019]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:535-538. [PMID: 33858068 DOI: 10.3760/cma.j.cn112150-20201210-01445] [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: 11/05/2022]
Abstract
From 2018 to 2019, 3 453 cases of high-risk population were screened by the Cancer Screening Program in Urban China (CanSPUC) in Hebei Province, with the age of (53.94±8.00). 147 and 686 cases of breast cancer positive and suspicious positive patients were found, with the positive rate and suspicious positive rate of 4.26% and 19.87% respectively. The suspicious positive rate of 45-49 years old age group was the highest (28.32%), and the positive rate of over 70 years old age group was the highest (7.32%). The positive detection rate of mammography combined with ultrasound was 5.16%, which was higher than that of ultrasound alone (2.46%) (χ²=30.28,P<0.001) or mammography alone (3.06%) (χ²=14.56,P<0.001).
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Affiliation(s)
- Y T He
- Cancer Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - Y Y Liu
- Cancer Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - W Gao
- Precaution and Health Care, Shijiazhuang No. 1 Hospital, Shijiazhuang 050011, China
| | - J J Hu
- General Medicine, Hebei Cheat Hospital, Shijiazhang 050048, China
| | - X Y Ma
- Centers for Disease Control and Prevention of Shijiazhuang, Shijiazhuang 050011, China
| | - C J Xia
- Tumor Surgical Department of Head And Neck, Tangshan People's Hospital, Tangshan 063000, China
| | - S H Chen
- Health Department of Kailuan Group, Tangshan 063000, China
| | - J Wang
- Health College, the First Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - D Liang
- Cancer Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - J Shi
- Cancer Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - B E Shan
- Cancer Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
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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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5
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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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6
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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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7
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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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8
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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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9
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He YT, Ma CL, Qiao G, Liu JY, Wang Y, Song J, Liu Y, Wang ZH. [Three-dimensional finite element analysis of cantilever fixed bridge supported by implants with mandibular central incisor]. Zhonghua Kou Qiang Yi Xue Za Zhi 2019; 54:463-468. [PMID: 31288326 DOI: 10.3760/cma.j.issn.1002-0098.2019.07.006] [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: 06/09/2023]
Abstract
Objective: To investigate effect of the contact surface between the bridge and the adjacent teeth on the stress distribution of the implant and bone tissue and the displacement of the prosthesis in the cantilever fixed implant bridge restoring missing mandibular central incisors. Methods: Two-dimensional images of the mandible and dentition in healthy adults were obtained using CT data. A three-dimensional finite element model of cantilever fixed bridge supported by implants with mandibular central incisor was established by computer reconstruction technique.The contact surface between the bridge and the adjacent natural tooth was designed as "oval" and "trapezoid". The "trapezoid" has a slightly smaller median diameter on the labial side and a slightly larger medial diameter on the lingual side. Loading of 120 N was applied on the tangential margin of the middle line of the long axis of the bridge 41. The direction was set at 0°, which was parallel to the long axis of the tooth and downward. The buccal to lingual and downward angles were 30°, 45° and 60°, respectively, perpendicular to the long axis of the tooth and 90° to the lingual side.The stress distribution of the implant and surrounding bone tissue and the displacement of the prosthesis were compared between the two models. Results: Under axial and buccolingual loading, the maximum equivalent stress peak in the implant and surrounding bone tissue in the cantilever with trapezoidal contact surface design and the maximum displacement of the prosthesis were lower. Moreover, the distribution of stress was more balanced and the concentration range of stress was smaller. With the loading angle increasing, this trend was more obvious. When loading angle increased to 90°, the maximum equivalent stress and the maximum displacement of the elliptic contact surface model implant and surrounding bone tissue were 196 and 101 MPa and 0.196 mm, respectively, while the trapezoidal contact surface model were 157 and 72 MPa and 0.164 mm, respectively. Conclusions: The trapezoidal contact surface of the bridge and the adjacent teeth in the cantilever fixed bridge supported by implants with mandibular central incisor is beneficial to reduce the impact of the leverage on the implant and surrounding bone tissue.
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Affiliation(s)
- Y T He
- Department of Prosthodontics, The Stomatological Hospital of Urumqi, Urumqi 830002, China
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10
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Shen RH, Ming WQ, Chen JH, He YT, Mi SB, Ma CS. Feasible atomic-resolution electron tomography for general crystal surfaces by quantitative reconstruction from a high-resolution image. Ultramicroscopy 2019; 205:27-38. [PMID: 31234100 DOI: 10.1016/j.ultramic.2019.06.002] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 06/03/2019] [Accepted: 06/09/2019] [Indexed: 11/19/2022]
Abstract
Whether or not the 3-dimensional surface morphologies of a crystal sample can be reconstructed at atomic-scale from a single 2-dimensional image becomes an interesting issue in high-resolution transmission electron microscopy, after the work by Jia et al. [1]. Here we propose an improved and self-validated algorithm to enhance such an electron tomography method and to make it applicable to more general crystal surfaces even with thin amorphous layers. Our study shows that a resolution in the beam (z) direction and a confidence level have to be defined and estimated after performing tomographic reconstruction in order to evaluate the quality and the reliability of its result. Applying the proposed procedure to the Si[110] image to recover the surface morphologies of a silicon crystal with amorphous contamination, the obtained results show that an atomic-resolution of 0.384 nm in the z-direction and a high confidence level of 95% are achieved for imaging the Si-surface structures, quantitatively described by tomographic parameters, i.e., the height (defocus) and the thickness (atom number) of Si-atomic columns.
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Affiliation(s)
- R H Shen
- Centre for High Resolution Electron Microscopy, College of Materials Science and Engineering, Hunan University, Changsha 410082, China
| | - W Q Ming
- Centre for High Resolution Electron Microscopy, College of Materials Science and Engineering, Hunan University, Changsha 410082, China
| | - J H Chen
- Centre for High Resolution Electron Microscopy, College of Materials Science and Engineering, Hunan University, Changsha 410082, China.
| | - Y T He
- Centre for High Resolution Electron Microscopy, College of Materials Science and Engineering, Hunan University, Changsha 410082, China
| | - S B Mi
- State Key Laboratory for Mechanical Behavior of Materials & School of Microelectronics, Xi'an Jiaotong University, Xi'an 710054, China
| | - C S Ma
- State Key Laboratory for Mechanical Behavior of Materials & School of Microelectronics, Xi'an Jiaotong University, Xi'an 710054, China
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11
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He YT, Li DJ, Liang D, Zheng RS, Zhang SW, Zeng HM, Chen WQ, He J. [Incidence and mortality of bladder cancer in China, 2014]. Zhonghua Zhong Liu Za Zhi 2018; 40:647-652. [PMID: 30293387 DOI: 10.3760/cma.j.issn.0253-3766.2018.09.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [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 estimate the incidence and mortality of bladder cancer in China based on the cancer registration data in 2014, collected by the National Central Cancer Registry (NCCR). Methods: There were 449 cancer registries submitted bladder cancer new cases and deaths occurred in 2014 to NCCR. After evaluating the data quality, 339 registries' data were finally accepted for analysis. According to the national population data of 2014, the nationwide incidence and mortality of bladder cancer were estimated by stratification in the area (urban or rural), gender, and age. Chinese population census in 2000 and Segi's population were used for age-standardized incidence/mortality rates. Results: All 339 cancer registries covered a total of 288 243 347 populations (144 061 915 in urban and 144 181 432 in rural areas). The percentage of morphologically verified cases and death certificate-only cases were 74.86% and 1.45%, respectively. The mortality to incidence ratio was 0.41. The estimates of new bladder cancer cases were 78 100 in China in 2014, with a crude incidence rate of 5.71/100 000. The age-standardized incidence rates by China standard population (ASR China) and world standard population (ASR world) of bladder cancer were 3.61/100 000 and 3.56/100 000, respectively. Cumulative incidence rate of bladder cancer in China was 0.41%. The crude and ASR China incidence rates in urban areas were 6.88/100 000 and 4.07/100 000, respectively, whereas those were 4.29/100, 000 and 2.96/100 000 in rural areas. The estimates of bladder cancer deaths caused by bladder cancer were about 32 100 in China in 2014, with a crude mortality rate of 2.35/100 000. The ASR China and ASR world mortality rates were both 1.30/100 000 with a cumulative mortality rate (0-74 years old) of 0.12%. The crude and ASR China mortality rates were 2.79/100 000 and 1.41/100 000 in urban areas, respectively, whereas those were 1.81/100 000 and 1.14/100 000 in rural areas. Conclusions: The incidence and mortality pattern of bladder cancer were different in urban and rural areas. The incidence and mortality were higher in urban areas than that in rural areas, and higher for male than for female. We should focus on strengthening the prevention and control of bladder cancer in key population, especially men in urban areas.
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Affiliation(s)
- Y T He
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - D J Li
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - D Liang
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - R S Zheng
- National Office for Cancer Prevention and Control, 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 W Zhang
- National Office for Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H M Zeng
- National Office for Cancer Prevention and Control, 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
- the Project Office of Early Detection and Treatment of Cancer in Urban China, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing 100021, China
| | - J He
- Department of Thoracic Surgery, 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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12
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Ming WQ, Chen JH, He YT, Shen RH, Chen ZK. An improved iterative wave function reconstruction algorithm in high-resolution transmission electron microscopy. Ultramicroscopy 2018; 195:111-120. [PMID: 30227297 DOI: 10.1016/j.ultramic.2018.09.002] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 08/26/2018] [Accepted: 09/04/2018] [Indexed: 10/28/2022]
Abstract
Exit wavefunction reconstruction is a powerful image processing technique to enhance the resolution and the signal-to-noise ratio for atomic-resolution imaging in both aberration uncorrected and corrected transmission electron microscopes. The present study aims to improve the performance of the iterative wavefunction reconstruction algorithm in comparison not only with its conventional form but also with the popular commercial Trueimage software for exit wavefunction reconstruction. It is shown that by implementing a wave propagation procedure for refining its image alignment, the iterative wavefunction reconstruction algorithm can be greatly improved in accurately retrieving the wavefunctions while keeping its original advantages, which allow the reconstruction be performed with less images and a larger defocus step in the data set of through-focus image series. In addition, calculations of this algorithm can be accelerated drastically by the graphic processing unit (GPU) hardware programming using the popular computer unified device architecture language, whose computing speed can be 25-38 times as fast as a central processing unit (CPU) program.
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Affiliation(s)
- W Q Ming
- College of Materials Science and Engineering, Centre for High Resolution Electron Microscopy, Hunan University, Changsha 410082, China
| | - J H Chen
- College of Materials Science and Engineering, Centre for High Resolution Electron Microscopy, Hunan University, Changsha 410082, China.
| | - Y T He
- College of Materials Science and Engineering, Centre for High Resolution Electron Microscopy, Hunan University, Changsha 410082, China
| | - R H Shen
- College of Materials Science and Engineering, Centre for High Resolution Electron Microscopy, Hunan University, Changsha 410082, China
| | - Z K Chen
- College of Materials Science and Engineering, Centre for High Resolution Electron Microscopy, Hunan University, Changsha 410082, China
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13
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Liang D, Li DJ, Shi J, Zhang YC, Guo TT, He YT. [Trend of cancer mortality in Hebei province, 1973-2013]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:35-39. [PMID: 29374892 DOI: 10.3760/cma.j.issn.0254-6450.2018.01.007] [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 analyze the data of malignant tumor mortality and change in disease burden in Hebei province from 1973 to 2013. Methods: Cancer mortality rate, age-standardized mortality rate and the years of life lost due to premature mortality (YLLs) were calculated by using the data from three rounds of all death causes survey and database of cancer registry in Hebei during 1973-2013. Results: From 1973 to 2013, a linear upward of malignant tumor mortality was observed, with a 51.57% increase. The mortality rate during 1973-1975 was 98.52/100 000 and it was 149.33/100 000 during 2011-2013. During 1973-1975, the YLLs was 17.0/1 000 in males and 12.8/1 000 in females. While during 2011-2013, the YLLs was 23.2/1 000 in males and 15.9/1 000 in females. During 1973-1975, esophagus cancer, stomach cancer and liver cancer were top three leading causes of deaths. During 2011-2013, lung cancer, stomach cancer and liver cancer were main leading causes of deaths. During the past 40 years, the deaths of esophagus cancer and cervix cancer decreased dramatically, but the deaths of lung cancer and breast cancer increased sharply. Conclusions: The disease burden caused by malignant tumor is becoming more serious in Hebei. It is necessary to strengthen the primary prevention and screening of malignant tumor.
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Affiliation(s)
- D Liang
- Cancer Institute of Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China
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14
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He YT, Li DJ, Liang D, Jin J, Wen DG, Chen WQ, He J. [Estimated of esophageal cancer incidence and mortality in China, 2013]. Zhonghua Zhong Liu Za Zhi 2017; 39:315-320. [PMID: 28550676 DOI: 10.3760/cma.j.issn.0253-3766.2017.04.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: The National Central Cancer Registry (NCCR) collected esophageal data of local cancer registries in 2013 to estimate the incidence and mortality in China. Methods: Data submitted from 347 registries were evaluated and 255 registries' data are qualified by NCCR. Data of incidence and mortality were stratified with areas (urban/rural), gender and age group. Chinese population census in 2000 and Segi's population were used for age-standardized incidence/mortality. Results: All of 255 cancer registries covered a total of 226 494 490 population (111 595 772 in urban areas and 114 898 718 in rural areas). The morphology verified cases (MV%) of esophageal cancer accounted for 75.51% and 1.64% of incident cases were identified through death certifications only (DCO%) with mortality to incidence ratio of 0.75. The estimates of new esophageal cancer cases and deaths were 277 thousand and 206 thousand in China, respectively. The crude incidence rate of esophageal cancer in Chinese cancer registration areas was 20.35/10(5) (28.15/10(5) in male, 12.15/10(5) in female), age-standardized incidence rates by Chinese standard population (ASIRC) and by world standard population were 13.64/10(5) and 13.82/10(5) with the cumulative incidence rate (0-74 age years old) of 1.77%. The esophageal cancer incidence and ASIRC were 13.38/10(5) and 8.74/10(5) in urban areas whereas in rural areas, they were 28.44/10(5) and 19.56/10(5,) respectively. In rural areas, the crude incidence rate of esophageal cancer was 2.13 times higher than that in urban areas, and after age-standardized it remained 2.24 times higher. The esophageal cancer mortality in Chinese cancer registration areas was 15.17/10(5) (20.86/10(5) in male and 9.20/10(5) in female), age-standardized mortality by Chinese standard population (ASMRC) and by world standard population were 9.95/10(5) and 9.98/10(5,) with the cumulative mortality rate (0-74 age years old) of 1.20%. The esophageal cancer mortality and ASMRC were 10.12/10(5) and 6.46/10(5) in urban areas, whereas in rural areas, they were 21.05/10(5) and 14.16/10(5,) respectively. In rural areas, the esophageal cancer mortality and ASMRC were 2.08 and 2.19 times higher than those in urban areas. Esophageal cancer was the sixth common cancer and the fourth leading causes of cancer death, accounting for about 7.52% of all cancer cases and 9.26% of all cancer deaths. Conclusions: Esophageal cancer is one of the most common cancers in China. Screening and early detection are important to reduce the incidence and mortality.
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Affiliation(s)
- Y T He
- Hebei Provincial Cancer Registry Office, Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - D J Li
- Hebei Provincial Cancer Registry Office, Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - D Liang
- Hebei Provincial Cancer Registry Office, Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - J Jin
- Hebei Provincial Cancer Registry Office, Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - D G Wen
- Hebei Provincial Cancer Registry Office, Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang 050011, China
| | - W Q Chen
- National Office for Cancer Prevention and Control, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - J He
- Department of Thoracic Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
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15
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Li CX, Wang P, Shen XN, Zhang HP, Ding YB, Chen WJ, He YT, He QG, Huang Y, Li ZJ, Li W. [Isolation and biological characteristics on Yersinia pestis phage YP060]. Zhonghua Liu Xing Bing Xue Za Zhi 2016; 37:868-71. [PMID: 27346118 DOI: 10.3760/cma.j.issn.0254-6450.2016.06.025] [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: 11/05/2022]
Abstract
OBJECTIVE To isolate and identify the characteristics of Yersinia pestis phage YP060 from mice nests in Yunnan plague focus. METHODS Phage YP060 was isolated from Yunnan plague focus by double-layer agar plate method with attenuated vaccine Yersinia pestis strain EV76 as the host bacterium. Phage particle was observed under the electron microscope while biological properties of phage YP060 including lytic capacity, host spectrum, optimal multiplicity of infection (MOI), one-step growth curve, sensitivity to temperature, pH, ultraviolet ray and chloroform etc. were identified. RESULTS The particles of phage YP060 presented tadpoles-like features, with optimal multiplicity of infection as 0.1. Latent period and burst period appeared as 50 min and 80 min, respectively. The phage endured the temperature between 30-50 ℃, and it contained a stronger lysis activities in a range of pH 5 to 10. Phage YP060 was sensitive to ultraviolet rays but insensitive to chloroform while presented special lysic ability to Yersinia pestis. CONCLUSION Yersinia pestis phage YP060 was isolated for the first time from mice nests in plague natural focus in China. Our findings related to narrow host spectrum and stronger lysis activities.
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Affiliation(s)
- C X Li
- State Key Laboratory for Communicable Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Graduate School, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Department of Plague Control and Prevention, Qinghai Institute for Endemic Disease Control and Prevention, Xining 811602, China
| | - P Wang
- Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali 671000, China
| | - X N Shen
- State Key Laboratory for Communicable Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H P Zhang
- Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali 671000, China
| | - Y B Ding
- Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali 671000, China
| | - W J Chen
- Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute for Endemic Disease Control and Prevention, Dali 671000, China
| | - Y T He
- Department of Plague Control and Prevention, Yulong Center for Disease Control and Prevention, Lijiang 674100, China
| | - Q G He
- Department of Plague Control and Prevention, Yulong Center for Disease Control and Prevention, Lijiang 674100, China
| | - Y Huang
- State Key Laboratory for Communicable Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z J Li
- Executive Office, Tibet Autonomous Region Center for Disease Control and Prevention, Lasa 850000, China
| | - W Li
- State Key Laboratory for Communicable Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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He YT, Zhang WJ, Xu MG, Tong XG, Sun FX, Wang JZ, Huang SM, Zhu P, He XH. Long-term combined chemical and manure fertilizations increase soil organic carbon and total nitrogen in aggregate fractions at three typical cropland soils in China. Sci Total Environ 2015; 532:635-44. [PMID: 26119378 DOI: 10.1016/j.scitotenv.2015.06.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2015] [Revised: 05/26/2015] [Accepted: 06/02/2015] [Indexed: 05/28/2023]
Abstract
Soil organic carbon (SOC), total nitrogen (TN), microbial biomass carbon (MBC) and nitrogen (MBN) are important factors of soil fertility. However, effects of the combined chemical fertilizer and organic manure or straw on these factors and their relationships are less addressed under long-term fertilizations. This study addressed changes in SOC, TN, MBC and MBN at 0-20 cm soil depth under three 17 years (September 1990-September 2007) long-term fertilization croplands along a heat and water gradient in China. Four soil physical fractions (coarse free and fine free particulate organic C, cfPOC and ffPOC; intra-microaggregate POC, iPOC; and mineral associated organic C, MOC) were examined under five fertilizations: unfertilized control, chemical nitrogen (N), phosphorus (P) and potassium (K) (NPK), NPK plus straw (NPKS, hereafter straw return), and NPK plus manure (NPKM and 1.5NPKM, hereafter manure). Compared with Control, manure significantly increased all tested parameters. SOC and TN in fractions distributed as MOC > iPOC > cfPOC > ffPOC with the highest increase in cfPOC (329.3%) and cfPTN (431.1%), and the lowest in MOC (40.8%) and MTN (45.4%) under manure. SOC significantly positively correlated with MBC, cfPOC, ffPOC, iPOC and MOC (R(2) = 0.51-0.84, P < 0.01), while TN with cfPTN, ffPTN, iPTN and MTN (R(2) = 0.45-0.79, P < 0.01), but not with MBN, respectively. Principal component analyses explained 86.9-91.2% variance of SOC, TN, MBC, MBN, SOC and TN in each fraction. Our results demonstrated that cfPOC was a sensitive SOC indicator and manure addition was the best fertilization for improving soil fertility while straw return should take into account climate factors in Chinese croplands.
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Affiliation(s)
- Y T He
- Ministry of Agriculture Key Laboratory of Crop Nutrition and Fertilization, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - W J Zhang
- Ministry of Agriculture Key Laboratory of Crop Nutrition and Fertilization, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - M G Xu
- Ministry of Agriculture Key Laboratory of Crop Nutrition and Fertilization, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - X G Tong
- College of Resources and Environment, Northwest A & F University, Yangling, Shannxi 712100, China
| | - F X Sun
- Ministry of Agriculture Key Laboratory of Crop Nutrition and Fertilization, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - J Z Wang
- Ministry of Agriculture Key Laboratory of Crop Nutrition and Fertilization, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - S M Huang
- Institute of Plant Nutrition, Resources and Environment, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - P Zhu
- Centre of Agricultural Environment and Resources, Jilin Academy of Agricultural Sciences, Changchun 130033, China
| | - X H He
- Ministry of Agriculture Key Laboratory of Crop Nutrition and Fertilization, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; School of Plant Biology, University of Western Australia, Crawley, WA 6009, Australia
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Xu HS, Li SY, Liang X, Shou JD, Xu K, He YT. Hepatocellular carcinoma presenting as a wandering abdominal lump with atypical CEUS. Ultraschall Med 2013; 34:388-390. [PMID: 23929380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
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Qiao YL, Hou J, Yang L, He YT, Liu YY, Li LD, Li SS, Lian SY, Dong ZW. [The trends and preventive strategies of esophageal cancer in high-risk areas of Taihang Mountains, China]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao 2001; 23:10-4. [PMID: 12905809] [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: 03/04/2023]
Abstract
OBJECTIVE To analyze and predict the trends of incidence and mortality rates of esophageal cancer in areas of Taihang Mountains, and explore the strategies for facilitating the reduction of the incidence and mortality of esophageal cancer. METHODS The data were collected from Linxian and Cixian Counties registries between 1988-1997. The trends of the incidence and mortality rates for esophageal cancer had been fitted and predicted by the model of BP (Back Propagation) Neural Networks. Then Linqi Xiang in Linxian County was taken as an example, to determine the power for reducing incidence and mortality of esophageal cancer using endoscopic technology as an early detection and treatment method. RESULTS There were slowly declining trends for both incidence and mortality rates during past 10 years in Taihang Mountains. The predicting rates of the esophageal cancer incidence in 2,002 are 115. 70/100,000 for male and 79.88/100,000 for female; mortality rates are 94.00/100,000 and 56.29/100,000 respectively. Both incidence and mortality rates a still in high level. But when using endoscopic technology as an early detection and treatment method, the incidence rate is nearly 1/3 of a control group and the power is 88.30% at the end of eight years. The mortality rate is 1/4 of the control group and power is 89.44% after five years intervention (both powers based on 0.05 significant levels). CONCLUSIONS The incidence and mortality rates for esophageal cancer are still on high levels in Taihang Mountains. We should continue to enhance our preventive effort there. After using endoscopic technology as an early detection and treatment method, the incidence and mortality rates will be decreased markedly during 5 to 8 years. It is recommended to implement a large-scale secondary prevention strategy in these areas.
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Affiliation(s)
- Y L Qiao
- Department of Cancer Epidemiology, Cancer Institute, CAMS, PUMC, Beijing 100021.
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Deng ZZ, He YT, Yu YM. [Comparison between two diagnostic methods of computer's mathematic model and clinical diagnosis on TCM syndromes of rheumatoid arthritis]. Zhongguo Zhong Xi Yi Jie He Za Zhi 1996; 16:727-9. [PMID: 9772589] [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: 02/09/2023]
Abstract
Based on the test result of 14 trace elements in hair of 163 cases of rheumatoid arthritis, we used one of the methods of the computer's mathematic model, DYNAMIC to assign the patients to five groups among multidimensional space. Then, another method, M-DEC was used to diagnose it back on one plane. The result was compared with that by the usual clinical diagnosis, also five groups were obtained, the group of Deficiency of both Liver and Kidney, syndrome of intermingled Cold with Heat, Deficiency of Qi and Yin, syndrome of Dampness-Heat stagnating in collaterals and syndrome of Phlegm-Dampness stagnating in collaterals. And Kappa was 0.77, greater than 0.6. It displayed the consistency in observation of these two methods, which was shown reliable. After that, we have detected the sensitivity of the syndrome diagnosis by computer's mathematic model method, the result was 96.67% and the specificity of that was 95.15%. So we consider this method could give us an objective judgment on TCM syndromes of rheumatoid arthritis.
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Affiliation(s)
- Z Z Deng
- Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine
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Abstract
1. Pyrene was administered i.p. as a single dose to trout (Oncorhynchus mykiss). Urine was collected continuously for 3 days and bile sampled at the end of this period. Pyrene metabolites in these biological fluids were identified by 1H-nmr spectrometry, glc-ms and hplc-ms. 2. 1-Hydroxypyrene was the major oxidation metabolite in the urine and bile. Small amounts of 1,6-dihydroxypyrene and a putative 1,8-dihydroxypyrene metabolite also were detected. Unchanged pyrene was not found in any of these biological fluids. 3. Both free and conjugated metabolites of pyrene were found in the bile and urine. The majority of the pyrene metabolites in the bile were conjugated with glucuronic acid or sulphate.
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Affiliation(s)
- F C Law
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
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Chen XR, Ni XY, Huang RX, Wang ZY, Gu J, Lin G, Zhang ZN, Fan MY, Lin SC, Xu JB, Shi WJ, Wang MK, Wu S, Wu PS, Wang BH, Zhang BY, Zhou MF, Guo YZ, Li CM, Chen KY, He YT, Guo LX, Ju CQ. [Percutaneous transhepatic cholangiography and drainage]. Zhonghua Fang She Xue Za Zhi 1983; 17:33-7. [PMID: 6224659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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