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Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies
OBJECTIVES: The established theory that breast density is an independent predictor of breast cancer risk is based on studies targeting white women in the West. More Asian women than Western women have dense breasts, but the incidence of breast cancer is lower among Asian women. This meta-analysis in...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korean Society for Preventive Medicine
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5160133/ https://www.ncbi.nlm.nih.gov/pubmed/27951629 http://dx.doi.org/10.3961/jpmph.16.054 |
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author | Bae, Jong-Myon Kim, Eun Hee |
author_facet | Bae, Jong-Myon Kim, Eun Hee |
author_sort | Bae, Jong-Myon |
collection | PubMed |
description | OBJECTIVES: The established theory that breast density is an independent predictor of breast cancer risk is based on studies targeting white women in the West. More Asian women than Western women have dense breasts, but the incidence of breast cancer is lower among Asian women. This meta-analysis investigated the association between breast density in mammography and breast cancer risk in Asian women. METHODS: PubMed and Scopus were searched, and the final date of publication was set as December 31, 2015. The effect size in each article was calculated using the interval-collapse method. Summary effect sizes (sESs) and 95% confidence intervals (CIs) were calculated by conducting a meta-analysis applying a random effect model. To investigate the dose-response relationship, random effect dose-response meta-regression (RE-DRMR) was conducted. RESULTS: Six analytical epidemiology studies in total were selected, including one cohort study and five case-control studies. A total of 17 datasets were constructed by type of breast density index and menopausal status. In analyzing the subgroups of premenopausal vs. postmenopausal women, the percent density (PD) index was confirmed to be associated with a significantly elevated risk for breast cancer (sES, 2.21; 95% CI, 1.52 to 3.21; I(2)=50.0%). The RE-DRMR results showed that the risk of breast cancer increased 1.73 times for each 25% increase in PD in postmenopausal women (95% CI, 1.20 to 2.47). CONCLUSIONS: In Asian women, breast cancer risk increased with breast density measured using the PD index, regardless of menopausal status. We propose the further development of a breast cancer risk prediction model based on the application of PD in Asian women. |
format | Online Article Text |
id | pubmed-5160133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Korean Society for Preventive Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-51601332016-12-20 Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies Bae, Jong-Myon Kim, Eun Hee J Prev Med Public Health Review OBJECTIVES: The established theory that breast density is an independent predictor of breast cancer risk is based on studies targeting white women in the West. More Asian women than Western women have dense breasts, but the incidence of breast cancer is lower among Asian women. This meta-analysis investigated the association between breast density in mammography and breast cancer risk in Asian women. METHODS: PubMed and Scopus were searched, and the final date of publication was set as December 31, 2015. The effect size in each article was calculated using the interval-collapse method. Summary effect sizes (sESs) and 95% confidence intervals (CIs) were calculated by conducting a meta-analysis applying a random effect model. To investigate the dose-response relationship, random effect dose-response meta-regression (RE-DRMR) was conducted. RESULTS: Six analytical epidemiology studies in total were selected, including one cohort study and five case-control studies. A total of 17 datasets were constructed by type of breast density index and menopausal status. In analyzing the subgroups of premenopausal vs. postmenopausal women, the percent density (PD) index was confirmed to be associated with a significantly elevated risk for breast cancer (sES, 2.21; 95% CI, 1.52 to 3.21; I(2)=50.0%). The RE-DRMR results showed that the risk of breast cancer increased 1.73 times for each 25% increase in PD in postmenopausal women (95% CI, 1.20 to 2.47). CONCLUSIONS: In Asian women, breast cancer risk increased with breast density measured using the PD index, regardless of menopausal status. We propose the further development of a breast cancer risk prediction model based on the application of PD in Asian women. Korean Society for Preventive Medicine 2016-11 2016-10-21 /pmc/articles/PMC5160133/ /pubmed/27951629 http://dx.doi.org/10.3961/jpmph.16.054 Text en Copyright © 2016 The Korean Society for Preventive Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Bae, Jong-Myon Kim, Eun Hee Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies |
title | Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies |
title_full | Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies |
title_fullStr | Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies |
title_full_unstemmed | Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies |
title_short | Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies |
title_sort | breast density and risk of breast cancer in asian women: a meta-analysis of observational studies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5160133/ https://www.ncbi.nlm.nih.gov/pubmed/27951629 http://dx.doi.org/10.3961/jpmph.16.054 |
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