Evidence map›Paper›PMID 42256018›Full record

ArticleJournal of Appalachian health2025

Geospatial Analysis of Breast Cancer Incidence, Mortality, and Access to Screening in Rural and Appalachian Virginia.

Jennifer Osher, Caleb Brown, Phillip Nichols, Tariq Ayubi, Jeremy Powers

Abstract read
In one paragraph

Article in Journal of Appalachian health, 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

5 authors.

Jennifer OsherEast Tennessee State University.
Caleb BrownEast Tennessee State University.
Phillip NicholsEast Tennessee State University.
Tariq AyubiEast Tennessee State University.
Jeremy PowersEast Tennessee State University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer is the most common malignancy among women in the United States (U.S.), despite recent survival rates improving nationally. However, rural and Appalachian regions have experienced slower mortality declines. These communities face unique health care-related challenges that may contribute to observed disparities. Purpose: The purpose of this study is to assess differences in breast cancer incidence, mortality, and mortality-to-incidence ratio (MIR) between Appalachian and non-Appalachian counties, as well as rural and non-rural counties in Virginia (VA). Furthermore, we aim to evaluate whether availability of mammography is associated with these differences. Methods: County-level breast cancer incidence and mortality data (2015-2019) for women age 40 and above were obtained from the VA Department of Health. Mammography facility locations were obtained from the Food and Drug Administration (FDA) Mammography Database. Appalachian designation followed Appalachian Regional Commission criteria. Rurality designation followed the 2013 Rural-Urban Continuum Codes (4-9 = rural). Mammography density per eligible female population was calculated using 2016 Census data. Mean rates were compared with t-tests. Linear regression with interaction terms evaluated associations between mammography density and MIR. Results: Of the 133 counties in VA, 33 (24.8%) were considered Appalachian and 53 (39.8%) rural. Incidence and mortality rates in woman age 40 and above did not differ significantly by Appalachian status or rurality. MIRs were higher in Appalachian (0.24 vs. 0.18; Implications: Despite similar incidence rates, Appalachian and rural counties in Virginia had higher MIRs, suggesting poorer survivability. Mammography availability alone did not explain disparities, necessitating further investigation.

Indexed as

AppalachiaBreast cancerHealth disparitiesMammography availabilityMortality-to-incidence ratio (MIR)Rural health

Identifiers

PMID42256018
PMCPMC13239569

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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.