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An exploration for quantification of overdiagnosis and its effect for breast cancer screening

OBJECTIVE: To redefine overdiagnosis and reestimate the proportion of overdiagnosis of breast cancer caused by screening based on the Surveillance, Epidemiology, and End Results (SEER, 1973−2015) Program data. METHODS: The breast cancer diagnosed before 1977 was defined as the no-screening cohort si...

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Autores principales: Yang, Lei, Wang, Shengfeng, Huang, Yubei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072016/
https://www.ncbi.nlm.nih.gov/pubmed/32194302
http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.04
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author Yang, Lei
Wang, Shengfeng
Huang, Yubei
author_facet Yang, Lei
Wang, Shengfeng
Huang, Yubei
author_sort Yang, Lei
collection PubMed
description OBJECTIVE: To redefine overdiagnosis and reestimate the proportion of overdiagnosis of breast cancer caused by screening based on the Surveillance, Epidemiology, and End Results (SEER, 1973−2015) Program data. METHODS: The breast cancer diagnosed before 1977 was defined as the no-screening cohort since America had initiated breast cancer screening from 1977. The breast cancer diagnosed in 1999 was defined as the screening cohort due to no increases in both the proportion of early-stage breast cancer until 1999 and the overall survival of early-stage breast cancer diagnosed over the three years since 1999. The magnitude of overdiagnosis was calculated as the difference in the proportions of early-stage breast cancer patients with long-time (15-year) survival to all breast cancer patients between two cohorts. RESULTS: Over 23 years before and after widespread screening in America, the proportion of early-stage breast cancer patients increased from 52.1% (16,891/32,443) to 72.7% (16,021/22,025) (P<0.001). The 15-year survival rate of early-stage breast cancer patients increased from 51.1% to 61.5% (P<0.001), while the proportions of early-stage breast cancer patients with long-time survival to all breast cancer patients increased from 26.6% (52.1%×51.1%) to 44.7% (72.7%×61.5%). Assuming no improvements in cancer screening technology and treatment technology, 18.1% (44.7%−26.6%) of breast cancer patients were overdiagnosed associated with screening. The age-specific overdiagnosis rates were 18.9%, 24.7%, 24.5%, 20.5%, and 8.3% for breast cancer patients aged 40−49, 50−59, 60−69, 70−74, and ≥75 years old, respectively. CONCLUSIONS: Overdiagnosis caused by mammographic screening is probably overestimated in current screening practices. Further trials with more sophisticated designs and analyses are needed to validate our findings in the future.
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spelling pubmed-70720162020-03-19 An exploration for quantification of overdiagnosis and its effect for breast cancer screening Yang, Lei Wang, Shengfeng Huang, Yubei Chin J Cancer Res Original Article OBJECTIVE: To redefine overdiagnosis and reestimate the proportion of overdiagnosis of breast cancer caused by screening based on the Surveillance, Epidemiology, and End Results (SEER, 1973−2015) Program data. METHODS: The breast cancer diagnosed before 1977 was defined as the no-screening cohort since America had initiated breast cancer screening from 1977. The breast cancer diagnosed in 1999 was defined as the screening cohort due to no increases in both the proportion of early-stage breast cancer until 1999 and the overall survival of early-stage breast cancer diagnosed over the three years since 1999. The magnitude of overdiagnosis was calculated as the difference in the proportions of early-stage breast cancer patients with long-time (15-year) survival to all breast cancer patients between two cohorts. RESULTS: Over 23 years before and after widespread screening in America, the proportion of early-stage breast cancer patients increased from 52.1% (16,891/32,443) to 72.7% (16,021/22,025) (P<0.001). The 15-year survival rate of early-stage breast cancer patients increased from 51.1% to 61.5% (P<0.001), while the proportions of early-stage breast cancer patients with long-time survival to all breast cancer patients increased from 26.6% (52.1%×51.1%) to 44.7% (72.7%×61.5%). Assuming no improvements in cancer screening technology and treatment technology, 18.1% (44.7%−26.6%) of breast cancer patients were overdiagnosed associated with screening. The age-specific overdiagnosis rates were 18.9%, 24.7%, 24.5%, 20.5%, and 8.3% for breast cancer patients aged 40−49, 50−59, 60−69, 70−74, and ≥75 years old, respectively. CONCLUSIONS: Overdiagnosis caused by mammographic screening is probably overestimated in current screening practices. Further trials with more sophisticated designs and analyses are needed to validate our findings in the future. AME Publishing Company 2020-02 /pmc/articles/PMC7072016/ /pubmed/32194302 http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.04 Text en Copyright © 2020 Chinese Journal of Cancer Research. All rights reserved. http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Original Article
Yang, Lei
Wang, Shengfeng
Huang, Yubei
An exploration for quantification of overdiagnosis and its effect for breast cancer screening
title An exploration for quantification of overdiagnosis and its effect for breast cancer screening
title_full An exploration for quantification of overdiagnosis and its effect for breast cancer screening
title_fullStr An exploration for quantification of overdiagnosis and its effect for breast cancer screening
title_full_unstemmed An exploration for quantification of overdiagnosis and its effect for breast cancer screening
title_short An exploration for quantification of overdiagnosis and its effect for breast cancer screening
title_sort exploration for quantification of overdiagnosis and its effect for breast cancer screening
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072016/
https://www.ncbi.nlm.nih.gov/pubmed/32194302
http://dx.doi.org/10.21147/j.issn.1000-9604.2020.01.04
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