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Limitations in the Effect of Screening on Breast Cancer Mortality

PURPOSE: Randomized, controlled trials showed that screening reduces breast cancer mortality rates, but some recent observational studies have concluded that programmatic screening has had minor effect on breast cancer mortality rates. This apparent contradiction might be explained by the use of agg...

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Autores principales: Beau, Anna-Belle, Andersen, Per Kragh, Vejborg, Ilse, Lynge, Elsebeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324089/
https://www.ncbi.nlm.nih.gov/pubmed/30179570
http://dx.doi.org/10.1200/JCO.2018.78.0270
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author Beau, Anna-Belle
Andersen, Per Kragh
Vejborg, Ilse
Lynge, Elsebeth
author_facet Beau, Anna-Belle
Andersen, Per Kragh
Vejborg, Ilse
Lynge, Elsebeth
author_sort Beau, Anna-Belle
collection PubMed
description PURPOSE: Randomized, controlled trials showed that screening reduces breast cancer mortality rates, but some recent observational studies have concluded that programmatic screening has had minor effect on breast cancer mortality rates. This apparent contradiction might be explained by the use of aggregated data in observational studies. We assessed the long-term effect of screening using individual-level data. MATERIALS AND METHODS: Using data from mammography screening in the Copenhagen and Danish national registers, we compared the observed breast cancer mortality rate in women invited to screening with the expected rate in absence of screening. The effect was examined using the “naïve model,” which included all breast cancer deaths; the “follow-up model,” which counted only breast cancer deaths in women diagnosed after their first invitation to screening; and the “evaluation model,” which is similar to the follow-up model during screening age, but after screening age, which counted only breast cancer deaths and person-years in women diagnosed during screening age. RESULTS: We included 18,781,292 person-years, 976,743 of which were from women invited to screening. The naïve and follow-up models showed, respectively, 10% and 11% reduction in breast cancer mortality after invitation to screening. However, many breast cancer deaths occurred in women whose cancer was diagnosed when they were no longer eligible for screening. Accounting for this dilution, the evaluation model showed a 20% (95% CI, 10% to 29%) reduction in breast cancer mortality after invitation to screening. CONCLUSION: Screening had a clear long-term beneficial effect with a 20% reduction in breast cancer–associated mortality in the invited population. However, this effect was, by nature, restricted to breast cancer deaths in women who could potentially benefit from screening. Our study highlights the complexity in evaluating the long-term effect of breast cancer screening from observational data.
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spelling pubmed-63240892019-01-15 Limitations in the Effect of Screening on Breast Cancer Mortality Beau, Anna-Belle Andersen, Per Kragh Vejborg, Ilse Lynge, Elsebeth J Clin Oncol ORIGINAL REPORTS PURPOSE: Randomized, controlled trials showed that screening reduces breast cancer mortality rates, but some recent observational studies have concluded that programmatic screening has had minor effect on breast cancer mortality rates. This apparent contradiction might be explained by the use of aggregated data in observational studies. We assessed the long-term effect of screening using individual-level data. MATERIALS AND METHODS: Using data from mammography screening in the Copenhagen and Danish national registers, we compared the observed breast cancer mortality rate in women invited to screening with the expected rate in absence of screening. The effect was examined using the “naïve model,” which included all breast cancer deaths; the “follow-up model,” which counted only breast cancer deaths in women diagnosed after their first invitation to screening; and the “evaluation model,” which is similar to the follow-up model during screening age, but after screening age, which counted only breast cancer deaths and person-years in women diagnosed during screening age. RESULTS: We included 18,781,292 person-years, 976,743 of which were from women invited to screening. The naïve and follow-up models showed, respectively, 10% and 11% reduction in breast cancer mortality after invitation to screening. However, many breast cancer deaths occurred in women whose cancer was diagnosed when they were no longer eligible for screening. Accounting for this dilution, the evaluation model showed a 20% (95% CI, 10% to 29%) reduction in breast cancer mortality after invitation to screening. CONCLUSION: Screening had a clear long-term beneficial effect with a 20% reduction in breast cancer–associated mortality in the invited population. However, this effect was, by nature, restricted to breast cancer deaths in women who could potentially benefit from screening. Our study highlights the complexity in evaluating the long-term effect of breast cancer screening from observational data. American Society of Clinical Oncology 2018-10-20 2018-09-04 /pmc/articles/PMC6324089/ /pubmed/30179570 http://dx.doi.org/10.1200/JCO.2018.78.0270 Text en © 2018 by American Society of Clinical Oncology http://creativecommons.org/licenses/by/4.0/ Licensed under the Creative Commons Attribution 4.0 License: http://creativecommons.org/licenses/by/4.0/
spellingShingle ORIGINAL REPORTS
Beau, Anna-Belle
Andersen, Per Kragh
Vejborg, Ilse
Lynge, Elsebeth
Limitations in the Effect of Screening on Breast Cancer Mortality
title Limitations in the Effect of Screening on Breast Cancer Mortality
title_full Limitations in the Effect of Screening on Breast Cancer Mortality
title_fullStr Limitations in the Effect of Screening on Breast Cancer Mortality
title_full_unstemmed Limitations in the Effect of Screening on Breast Cancer Mortality
title_short Limitations in the Effect of Screening on Breast Cancer Mortality
title_sort limitations in the effect of screening on breast cancer mortality
topic ORIGINAL REPORTS
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324089/
https://www.ncbi.nlm.nih.gov/pubmed/30179570
http://dx.doi.org/10.1200/JCO.2018.78.0270
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