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The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017)

INTRODUCTION: This study aimed to evaluate the performance of the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS) in estimating cancer incidence by comparing the results with the Beijing Cancer Registry (BCR), which is one of the highest-quality population-based cancer registrie...

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Autores principales: Tian, Hongrui, Liu, Weiping, Song, Yuqin, Mi, Lan, Liu, Zhen, Liu, Mengfei, Guo, Chuanhai, Liu, Fangfang, Liu, Ying, Pan, Yaqi, Zhu, Jun, He, Zhonghu, Ke, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855075/
https://www.ncbi.nlm.nih.gov/pubmed/35186368
http://dx.doi.org/10.46234/ccdcw2021.269
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author Tian, Hongrui
Liu, Weiping
Song, Yuqin
Mi, Lan
Liu, Zhen
Liu, Mengfei
Guo, Chuanhai
Liu, Fangfang
Liu, Ying
Pan, Yaqi
Zhu, Jun
He, Zhonghu
Ke, Yang
author_facet Tian, Hongrui
Liu, Weiping
Song, Yuqin
Mi, Lan
Liu, Zhen
Liu, Mengfei
Guo, Chuanhai
Liu, Fangfang
Liu, Ying
Pan, Yaqi
Zhu, Jun
He, Zhonghu
Ke, Yang
author_sort Tian, Hongrui
collection PubMed
description INTRODUCTION: This study aimed to evaluate the performance of the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS) in estimating cancer incidence by comparing the results with the Beijing Cancer Registry (BCR), which is one of the highest-quality population-based cancer registries in China. METHODS: Using lymphoma as an example, we extracted relevant claims data from the administrative systems of medical insurance in Beijing (2012–2020) and estimated the most current lymphoma incidence in Beijing (2019) using a standard data processing procedure. The absolute number of new cases, crude incidence rate, and age-standardized incidence rate of lymphoma were compared with the latest data reported by the BCR (2017). RESULTS: Both lymphoma incidence rates and age distribution of new cases estimated based on MIS-CASS were similar to the BCR data (crude incidence rate: 9.8/100,000 vs. 10.6/100,000). However, because MIS-CASS included more designated hospitals and covered a larger local stationary population irrespective of household registration (hukou), the absolute number of incident lymphoma cases identified by MIS-CASS was 39.1% higher than that reported by the BCR (2,002 vs. 1,439). CONCLUSIONS: The MIS-CASS approach reflected the actual cancer burden in a more complete and timely manner as compared with the current BCR, providing new insights for improving cancer surveillance strategies in China.
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spelling pubmed-88550752022-02-18 The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017) Tian, Hongrui Liu, Weiping Song, Yuqin Mi, Lan Liu, Zhen Liu, Mengfei Guo, Chuanhai Liu, Fangfang Liu, Ying Pan, Yaqi Zhu, Jun He, Zhonghu Ke, Yang China CDC Wkly Methods and Applications INTRODUCTION: This study aimed to evaluate the performance of the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS) in estimating cancer incidence by comparing the results with the Beijing Cancer Registry (BCR), which is one of the highest-quality population-based cancer registries in China. METHODS: Using lymphoma as an example, we extracted relevant claims data from the administrative systems of medical insurance in Beijing (2012–2020) and estimated the most current lymphoma incidence in Beijing (2019) using a standard data processing procedure. The absolute number of new cases, crude incidence rate, and age-standardized incidence rate of lymphoma were compared with the latest data reported by the BCR (2017). RESULTS: Both lymphoma incidence rates and age distribution of new cases estimated based on MIS-CASS were similar to the BCR data (crude incidence rate: 9.8/100,000 vs. 10.6/100,000). However, because MIS-CASS included more designated hospitals and covered a larger local stationary population irrespective of household registration (hukou), the absolute number of incident lymphoma cases identified by MIS-CASS was 39.1% higher than that reported by the BCR (2,002 vs. 1,439). CONCLUSIONS: The MIS-CASS approach reflected the actual cancer burden in a more complete and timely manner as compared with the current BCR, providing new insights for improving cancer surveillance strategies in China. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021-12-24 /pmc/articles/PMC8855075/ /pubmed/35186368 http://dx.doi.org/10.46234/ccdcw2021.269 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/)
spellingShingle Methods and Applications
Tian, Hongrui
Liu, Weiping
Song, Yuqin
Mi, Lan
Liu, Zhen
Liu, Mengfei
Guo, Chuanhai
Liu, Fangfang
Liu, Ying
Pan, Yaqi
Zhu, Jun
He, Zhonghu
Ke, Yang
The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017)
title The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017)
title_full The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017)
title_fullStr The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017)
title_full_unstemmed The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017)
title_short The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017)
title_sort incidence of lymphoma in beijing: comparing results from mis-cass (2019) and beijing cancer registry (2017)
topic Methods and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855075/
https://www.ncbi.nlm.nih.gov/pubmed/35186368
http://dx.doi.org/10.46234/ccdcw2021.269
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