Evidence map›Paper›PMID 41991749›Full record

ArticleBreast cancer research and treatment2026

Black and White disparity in U.S. female breast cancer mortality: a nationwide analysis, 1999-2023.

Hang Yi, Yifei Zhong, Daiwen Xing, Yan Wang, Shiman Xie, Yinyan Gao, Feng Mao, Xuefei Wang

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Article in Breast cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hang Yi *Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. yh_19971028@163.com.
Yifei Zhong *Peking University Health Science Center, Peking University, Beijing, China.
Daiwen Xing *Peking University Health Science Center, Peking University, Beijing, China.
Yan WangDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Shiman XieDepartment of Health Policy and Management, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Yinyan GaoDepartment of Epidemiology and Biostatistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Feng MaoDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. mmc8941@me.com.
Xuefei WangDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. wangxuefei63@pumch.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo comprehensively characterize the evolution of racial disparities in U.S. female breast cancer mortality between non-Hispanic Black and White women from 1999 to 2023 across age, geography, and urbanization levels.

methodsWe analyzed nationwide mortality data from the CDC WONDER database for women aged ≥ 25 years. We calculated age-adjusted mortality rates (AAMRs), absolute rate differences (ARD), and age-standardized rate ratios (ASRR). Joinpoint regression was employed to quantify temporal trends and identify significant changes over the 25-year period.

resultsBetween 1999 and 2023, AAMRs declined for both Black (Average Annual Percent Change [AAPC] = -1.38, 95% CI -1.45 - -1.30) and White (AAPC = -1.46, 95% CI -1.56 - -1.35) women; however, Black women consistently experienced higher mortality. Disparity trends exhibited significant heterogeneity. While the mortality gap narrowed for women aged ≥ 55, the relative disparity for younger women (< 55 years) remained stagnant (ASRR ~ 1.88) despite absolute rate declines. Geographically, the Midwest achieved the most significant reduction in ARD. In contrast, the Northeast showed widening relative disparities. Notably, Massachusetts experienced a "disparity reversal," shifting from a Black survival advantage in 1999 to a significant mortality disadvantage by 2023. Additionally, disparities worsened in Large Fringe Metro areas compared to other urbanization levels.

conclusionDespite national progress in reducing breast cancer mortality, racial equity remains elusive. The persistent gap among younger women and the widening disparities in specific "hotspot" regions and traditionally affluent states challenge the assumption that general healthcare improvements benefit all populations equitably, underscoring the urgent need for targeted, precision-based public health interventions.

Indexed as

Black or African AmericanBreast NeoplasmsHealthcare DisparitiesHealth Status DisparitiesWhiteAdultAgedFemaleHumansMiddle AgedUnited StatesBreast cancerEpidemiologyHealth equityRacial disparity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.