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Is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality

BACKGROUND: The objective of our meta-analysis and systematic review was to analyze non-breast cancer mortality in women screened with mammography versus non-screened women to determine whether there is excess mortality caused by screening. METHODS: We searched PubMed and the Web of Science up to 30...

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Autores principales: Erpeldinger, Sylvie, Fayolle, Laure, Boussageon, Rémy, Flori, Marie, Lainé, Xavier, Moreau, Alain, Gueyffier, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228242/
https://www.ncbi.nlm.nih.gov/pubmed/24192052
http://dx.doi.org/10.1186/1745-6215-14-368
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author Erpeldinger, Sylvie
Fayolle, Laure
Boussageon, Rémy
Flori, Marie
Lainé, Xavier
Moreau, Alain
Gueyffier, François
author_facet Erpeldinger, Sylvie
Fayolle, Laure
Boussageon, Rémy
Flori, Marie
Lainé, Xavier
Moreau, Alain
Gueyffier, François
author_sort Erpeldinger, Sylvie
collection PubMed
description BACKGROUND: The objective of our meta-analysis and systematic review was to analyze non-breast cancer mortality in women screened with mammography versus non-screened women to determine whether there is excess mortality caused by screening. METHODS: We searched PubMed and the Web of Science up to 30 November 2010. We included randomized controlled trials with non-breast cancer mortality as the main endpoint. Two authors independently assessed trial quality and extracted data. RESULTS: There was no significant difference between groups at 13-year follow-up (odds ratio = 1.00 (95% CI 0.98 to 1.03) with average heterogeneity I(2) = 61%) regardless of the age and the methodological quality of the included studies. The meta-analysis did not reveal excess non-breast cancer mortality caused by screening. If screening does have an effect on excess mortality, it is possible to provide an estimate of its maximum value through the upper confidence interval in good-quality methodological studies: up to 3% in the screened women group (12 deaths per 100,000 women). CONCLUSIONS: The all-cause death rate was not significantly reduced by screening when compared to the rate observed in unscreened women. However, mammography screening does not seem to induce excess mortality. These findings improve information given to patients. Finding more comprehensive data is now going to be difficult given the complexity of the studies. Individual modeling should be used because the studies fail to include all the aspects of a complex situation. The risk/benefit analysis of screening needs to be regularly and independently reassessed.
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spelling pubmed-42282422014-11-13 Is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality Erpeldinger, Sylvie Fayolle, Laure Boussageon, Rémy Flori, Marie Lainé, Xavier Moreau, Alain Gueyffier, François Trials Research BACKGROUND: The objective of our meta-analysis and systematic review was to analyze non-breast cancer mortality in women screened with mammography versus non-screened women to determine whether there is excess mortality caused by screening. METHODS: We searched PubMed and the Web of Science up to 30 November 2010. We included randomized controlled trials with non-breast cancer mortality as the main endpoint. Two authors independently assessed trial quality and extracted data. RESULTS: There was no significant difference between groups at 13-year follow-up (odds ratio = 1.00 (95% CI 0.98 to 1.03) with average heterogeneity I(2) = 61%) regardless of the age and the methodological quality of the included studies. The meta-analysis did not reveal excess non-breast cancer mortality caused by screening. If screening does have an effect on excess mortality, it is possible to provide an estimate of its maximum value through the upper confidence interval in good-quality methodological studies: up to 3% in the screened women group (12 deaths per 100,000 women). CONCLUSIONS: The all-cause death rate was not significantly reduced by screening when compared to the rate observed in unscreened women. However, mammography screening does not seem to induce excess mortality. These findings improve information given to patients. Finding more comprehensive data is now going to be difficult given the complexity of the studies. Individual modeling should be used because the studies fail to include all the aspects of a complex situation. The risk/benefit analysis of screening needs to be regularly and independently reassessed. BioMed Central 2013-11-05 /pmc/articles/PMC4228242/ /pubmed/24192052 http://dx.doi.org/10.1186/1745-6215-14-368 Text en Copyright © 2013 Erpeldinger et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Erpeldinger, Sylvie
Fayolle, Laure
Boussageon, Rémy
Flori, Marie
Lainé, Xavier
Moreau, Alain
Gueyffier, François
Is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality
title Is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality
title_full Is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality
title_fullStr Is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality
title_full_unstemmed Is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality
title_short Is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality
title_sort is there excess mortality in women screened with mammography: a meta-analysis of non-breast cancer mortality
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228242/
https://www.ncbi.nlm.nih.gov/pubmed/24192052
http://dx.doi.org/10.1186/1745-6215-14-368
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