ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011
Race-specific impact of natural history, mammography screening, and adjuvant treatment on breast cancer mortality rates in the United States.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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47 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Simulation models for socioeconomic inequalities in health: a systematic review.International journal of environmental research and public health · 2013Pooled it
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- Trends in breast cancer mortality by race/ethnicity, age, and US census region, United States─1999-2020.Cancer · 2023Article
- Identifying Equitable Screening Mammography Strategies for Black Women in the United States Using Simulation Modeling.Annals of internal medicine · 2021Article
- Review
- Reflecting on 20 years of breast cancer modeling in CISNET: Recommendations for future cancer systems modeling efforts.PLoS computational biology · 2021Review
- Improving Adherence to Adjuvant Hormonal Therapy Among Disadvantaged Women Diagnosed with Breast Cancer in South Carolina: Proposal for a Multimethod Study.JMIR research protocols · 2020Article
- Editor's Choice: Deliberative and non-deliberative effects of descriptive and injunctive norms on cancer screening behaviors among African Americans.Psychology & health · 2020Article
- Understanding breast cancer disparities-a multi-scale challenge.Annals of translational medicine · 2020Review
- Literature review of data-based models for identification of factors associated with racial disparities in breast cancer mortality.Health systems (Basingstoke, England) · 2019Review
- Temporal trends in breast cancer survival by race and ethnicity: A population-based cohort study.PloS one · 2019Article
- Structure, Function, and Applications of the Georgetown-Einstein (GE) Breast Cancer Simulation Model.Medical decision making : an international journal of the Society for Medical Decision Making · 2018Article
- Simulating the Impact of Risk-Based Screening and Treatment on Breast Cancer Outcomes with MISCAN-Fadia.Medical decision making : an international journal of the Society for Medical Decision Making · 2018Article
- Common Model Inputs Used in CISNET Collaborative Breast Cancer Modeling.Medical decision making : an international journal of the Society for Medical Decision Making · 2018Article
- Disparities in breast cancer survival in the United States (2001-2009): Findings from the CONCORD-2 study.Cancer · 2017Article
- Worse Breast Cancer Outcomes for Southern Nevadans, Filipina and Black Women.Journal of immigrant and minority health · 2017Article
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8 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundU.S. Black women have higher breast cancer mortality rates than White women despite lower incidence. The aim of this study is to investigate how much of the mortality disparity can be attributed to racial differences in natural history, uptake of mammography screening, and use of adjuvant therapy.
methodsTwo simulation models use common national race, and age-specific data for incidence, screening and treatment dissemination, stage distributions, survival, and competing mortality from 1975 to 2010. Treatment effectiveness and mammography sensitivity are assumed to be the same for both races. We sequentially substituted Black parameters into the White model to identify parameters that drive the higher mortality for Black women in the current time period.
resultsBoth models accurately reproduced observed breast cancer incidence, stage and tumor size distributions, and breast cancer mortality for White women. The higher mortality for Black women could be attributed to differences in natural history parameters (26-44%), use of adjuvant therapy (11-19%), and uptake of mammography screening (7-8%), leaving 38% to 46% unexplained.
conclusionBlack women appear to have benefited less from cancer control advances than White women, with a greater race-related gap in the use of adjuvant therapy than screening. However, a greater portion of the disparity in mortality appears to be due to differences in natural history and undetermined factors. IMPACT: Breast cancer mortality may be reduced substantially by ensuring that Black women receive equal adjuvant treatment and screening as White women. More research on racial variation in breast cancer biology and treatment utilization is needed.
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