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Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China

BACKGROUND: We aimed to establish a new approach for surveillance of cancer prevalence and survival in China, based on the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS). METHODS: We constructed a standard procedure for data collection, cleaning, processing, linkage, verificati...

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Autores principales: Tian, Hongrui, Hu, Yanjun, Li, Qingxiang, Lei, Liang, Liu, Zhen, Liu, Mengfei, Guo, Chuanhai, Liu, Fangfang, Liu, Ying, Pan, Yaqi, dos-Santos-Silva, Isabel, He, Zhonghu, Ke, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921516/
https://www.ncbi.nlm.nih.gov/pubmed/33718848
http://dx.doi.org/10.1016/j.eclinm.2021.100756
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author Tian, Hongrui
Hu, Yanjun
Li, Qingxiang
Lei, Liang
Liu, Zhen
Liu, Mengfei
Guo, Chuanhai
Liu, Fangfang
Liu, Ying
Pan, Yaqi
dos-Santos-Silva, Isabel
He, Zhonghu
Ke, Yang
author_facet Tian, Hongrui
Hu, Yanjun
Li, Qingxiang
Lei, Liang
Liu, Zhen
Liu, Mengfei
Guo, Chuanhai
Liu, Fangfang
Liu, Ying
Pan, Yaqi
dos-Santos-Silva, Isabel
He, Zhonghu
Ke, Yang
author_sort Tian, Hongrui
collection PubMed
description BACKGROUND: We aimed to establish a new approach for surveillance of cancer prevalence and survival in China, based on the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS). METHODS: We constructed a standard procedure for data collection, cleaning, processing, linkage, verification, analysis, and estimation of cancer prevalence and survival (including both actual observations and model estimates) by conjoint use of medical insurance claims data and all-cause death surveillance data. As a proof-of-principle study, we evaluated the performance of this surveillance approach by estimating the latest prevalence and survival for upper gastrointestinal cancers in Hua County, a high-risk region for oesophageal cancer in China. FINDINGS: In Hua County, the age-standardised relative 5-year survival was 39·2% (male: 36·8%; female: 43·6%) for oesophageal cancer and 33·3% (male: 29·6%; female: 43·4%) for stomach cancer. For oesophageal cancer, better survival was observed in patients of 45–64 years compared with national average estimates, and women of <75 years had better survival than men. The 5-year prevalence rate in Hua County was 99·8/100,000 (male: 105·9/100,000; female: 93·3/100,000) for oesophageal cancer and 41·5/100,000 (male: 57·4/100,000; female: 24·5/100,000) for stomach cancer. For both of these cancers, the prevalence burden peaked at 65–79 years. The model estimates for survival and prevalence were close to the observations in real investigation, with a relative difference of less than 4·5%. INTERPRETATION: This novel approach allows accurate estimation of cancer prevalence and survival with a short delay, which has great potential for regular use in general Chinese populations, especially those not covered by cancer registries. FUNDING: The National Key R&D Program of China (2016YFC0901404), the National Science & Technology Fundamental Resources Investigation Program of China (2019FY101102), the National Natural Science Foundation of China (82073626), the Taikang Yicai Public Health and Epidemic Control Fund (TKYC-GW-2020), the Beijing-Tianjin-Hebei Basic Research Cooperation Project (J200016), and the Digestive Medical Coordinated Development Center of Beijing Hospitals Authority (XXZ0204).
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spelling pubmed-79215162021-03-12 Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China Tian, Hongrui Hu, Yanjun Li, Qingxiang Lei, Liang Liu, Zhen Liu, Mengfei Guo, Chuanhai Liu, Fangfang Liu, Ying Pan, Yaqi dos-Santos-Silva, Isabel He, Zhonghu Ke, Yang EClinicalMedicine Research Paper BACKGROUND: We aimed to establish a new approach for surveillance of cancer prevalence and survival in China, based on the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS). METHODS: We constructed a standard procedure for data collection, cleaning, processing, linkage, verification, analysis, and estimation of cancer prevalence and survival (including both actual observations and model estimates) by conjoint use of medical insurance claims data and all-cause death surveillance data. As a proof-of-principle study, we evaluated the performance of this surveillance approach by estimating the latest prevalence and survival for upper gastrointestinal cancers in Hua County, a high-risk region for oesophageal cancer in China. FINDINGS: In Hua County, the age-standardised relative 5-year survival was 39·2% (male: 36·8%; female: 43·6%) for oesophageal cancer and 33·3% (male: 29·6%; female: 43·4%) for stomach cancer. For oesophageal cancer, better survival was observed in patients of 45–64 years compared with national average estimates, and women of <75 years had better survival than men. The 5-year prevalence rate in Hua County was 99·8/100,000 (male: 105·9/100,000; female: 93·3/100,000) for oesophageal cancer and 41·5/100,000 (male: 57·4/100,000; female: 24·5/100,000) for stomach cancer. For both of these cancers, the prevalence burden peaked at 65–79 years. The model estimates for survival and prevalence were close to the observations in real investigation, with a relative difference of less than 4·5%. INTERPRETATION: This novel approach allows accurate estimation of cancer prevalence and survival with a short delay, which has great potential for regular use in general Chinese populations, especially those not covered by cancer registries. FUNDING: The National Key R&D Program of China (2016YFC0901404), the National Science & Technology Fundamental Resources Investigation Program of China (2019FY101102), the National Natural Science Foundation of China (82073626), the Taikang Yicai Public Health and Epidemic Control Fund (TKYC-GW-2020), the Beijing-Tianjin-Hebei Basic Research Cooperation Project (J200016), and the Digestive Medical Coordinated Development Center of Beijing Hospitals Authority (XXZ0204). Elsevier 2021-02-24 /pmc/articles/PMC7921516/ /pubmed/33718848 http://dx.doi.org/10.1016/j.eclinm.2021.100756 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Tian, Hongrui
Hu, Yanjun
Li, Qingxiang
Lei, Liang
Liu, Zhen
Liu, Mengfei
Guo, Chuanhai
Liu, Fangfang
Liu, Ying
Pan, Yaqi
dos-Santos-Silva, Isabel
He, Zhonghu
Ke, Yang
Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China
title Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China
title_full Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China
title_fullStr Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China
title_full_unstemmed Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China
title_short Estimating cancer survival and prevalence with the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS): An empirical study in China
title_sort estimating cancer survival and prevalence with the medical-insurance-system-based cancer surveillance system (mis-cass): an empirical study in china
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921516/
https://www.ncbi.nlm.nih.gov/pubmed/33718848
http://dx.doi.org/10.1016/j.eclinm.2021.100756
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