Evidence map›Paper›PMID 39801014›Full record

ArticleAmerican journal of epidemiology2025

A registry-based approach for estimating county-level race disparities in breast cancer mortality: an analysis in Georgia.

Rebecca Nash, Jeffrey M Switchenko, Kevin C Ward, Maret L Maliniak, Lindsay J Collin, Leah Moubadder, Michael R Kramer, Timothy L Lash, Anne Gaglioti, Rana Bayakly and 1 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Rebecca NashDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.ORCID 0000-0002-0499-2663
Jeffrey M SwitchenkoDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.ORCID 0000-0002-5563-9325
Kevin C WardDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.ORCID 0000-0001-5893-6192
Maret L MaliniakDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.ORCID 0000-0002-0763-5231
Lindsay J CollinDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Salt Lake City, UT 84108, United States.ORCID 0000-0003-0170-2592
Leah MoubadderDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.
Michael R KramerDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.ORCID 0000-0002-6372-6170
Timothy L LashDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.ORCID 0000-0002-5240-5195
Anne GagliotiDepartment of Family Medicine, Morehouse School of Medicine, 720 Westview Drive, Atlanta, GA 30310, United States.ORCID 0000-0001-5843-8476
Rana BayaklyGeorgia Cancer Registry, Georgia Department of Public Health, 200 Piedmont Avenue SE, Atlanta, GA 30334, United States.
Lauren E McCulloughDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.ORCID 0000-0001-6723-9540

Funding

Improving our understanding of breast cancer mortality disparities through recurrence: a multi-level approach among women in GeorgiaR01CA259192 · NCI · EMORY UNIVERSITY · PI MCCULLOUGH, LAUREN E · 2021 to 2025
$2.9M
Identifying factors associated with ovarian cancer recurrence using a population-based approachK99CA277580 · NCI · UNIVERSITY OF UTAH · PI COLLIN, LINDSAY JANE · 2023 to 2024
$279k
National Cancer Institute of the National Institutes of Health K99CA277580NCI NIH HHS HHSN261201800003CNCI NIH HHS K99 CA277580NCI NIH HHS R01 CA259192Susan G. Komen Foundation CCR19608510US National Cancer Institute F31CA268737US National Cancer Institute R01CA259192
6 · The paper itself

Abstract

Despite similar incidence rates, nationwide breast cancer mortality is 40% higher among non-Hispanic Black (NHB) than non-Hispanic White (NHW) women. The racial disparity persists even among women who have early-stage disease, prognostically favorable subtypes, or indicators of high socioeconomic status, and is not evenly distributed throughout the United States. Understanding geographic differences may provide additional insight into the drivers of the disparity. However, current data are geographically limited, based primarily on death certificate information, do not incorporate incidence, and often do not provide estimates or account for areas with small populations or sparse case data. Using a Bayesian framework, we estimated the local racial disparity in 5-year mortality for nonmetastatic breast cancer diagnosed during 2005-2013 across counties in Georgia, a racially and geographically diverse state. Overall, during the study period, 5-year breast cancer mortality was 43% higher among NHB than NHW women. The racial disparity varied across Georgia with more pronounced disparity observed in the central and southeast and less pronounced disparity in the southwest. County-level rurality and the proportion of owner-occupied housing were associated with the magnitude of the disparity, but only after accounting for other area-level covariates. This approach can help guide decisions and resource allocation at the local level.

Indexed as

Black or African AmericanBreast NeoplasmsHealth Status DisparitiesRegistriesWhiteAdultAgedBayes TheoremFemaleGeorgiaHumansMiddle AgedSocioeconomic Factorsbreast cancer mortalityrace disparity

Identifiers

PMID39801014
PMCPMC12624868

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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.