Evidence map›Paper›PMID 41277298›Full record

ArticleCancer2025

Beyond composite measures of regional vulnerability: Rural-urban colorectal cancer mortality disparities mediated by area-level characteristics.

Sara Myers, Elizabeth S Davis, Jeffrey A Franks, Jennifer S Davids, Kelly M Kenzik

Abstract read
In one paragraph

Article in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Sara MyersDepartment of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0009-1677-7467
Elizabeth S DavisDepartment of Surgery & Patient-Reported Outcomes, Value and Experience Center, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Jeffrey A FranksDepartment of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, Massachusetts, USA.
Jennifer S DavidsDepartment of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, Massachusetts, USA.
Kelly M KenzikDepartment of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-6402-8446

Funding

Understanding rural mortality disparities in cancer: a multi-level approachR37CA266193 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KELLY KENZIK · 2022 to 2026
$1.8M
HRSA HHSNational Cancer Institute of the National Institutes of Health R37CA266193NCI NIH HHS R37 CA266193
6 · The paper itself

Abstract

backgroundRural-urban disparities in colorectal cancer (CRC) mortality have been attributed to individual- and population-level factors. Population-level composite measures such as the Social Vulnerability Index (SVI) have been used to investigate rural-urban disparities. However, the contribution of each SVI component to CRC mortality disparities among rural and urban counties is unknown.

methodsVia CRC mortality data for all US counties from 1999 to 2020 from the Centers for Disease Control and Prevention, rural-urban differences in county demographics and in 14 SVI factors were examined. Four-way effect decomposition was used to estimate the proportion of the rural-urban CRC mortality disparity mediated by the SVI.

resultsAmong 2927 counties (rural, 60.7%; urban, 39.3%), rural counties had 11.8% higher CRC mortality than urban counties; 18.6% of that disparity was mediated by low socioeconomic status (SES), 8.8% by household characteristics, and 2.7% by racial/ethnic minority status. Among all counties, poverty (incidence rate ratio [IRR], 3.2; 95% confidence interval [CI], 2.8-3.5), unemployment (IRR, 5.4; 95% CI, 4.4-6.8), lacking a high school diploma (IRR, 2.7; 95% CI, 2.4-2.9), household crowding (IRR, 3.3; 95% CI, 2.5-4.4), and lacking a vehicle (IRR, 3.4; 95% CI, 3.0-3.8) had the greatest impact on CRC mortality. Compared to urban counties, rural counties with a higher proportion of people without a vehicle had a higher risk of CRC mortality (IRR, 4.3; 95% CI, 3.7-5.0; vs. IRR, 1.9; 95% CI, 1.5-2.4).

conclusionsThe rural-urban CRC mortality disparity is largely driven by low SES-higher poverty and unemployment, and lower income and education. The relationship between CRC mortality and the SVI is nuanced, and evaluating each component of the SVI may allow for more targeted area-level interventions than evaluating the SVI alone.

Indexed as

Colorectal NeoplasmsHealth Status DisparitiesRural PopulationSocial VulnerabilityUrban PopulationAgedFemaleHumansMaleMiddle AgedSocioeconomic FactorsUnited Statescolorectal cancermortalityruralsocial determinantsSocial Vulnerability Index

Identifiers

PMID41277298
PMCPMC13628909

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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.