Evidence map›Paper›PMID 38342479›Full record

ArticleAmerican journal of preventive medicine2024

Contribution of County Characteristics to Disparities in Rural Mortality After Cancer Diagnosis.

Jeffrey A Franks, Elizabeth S Davis, Smita Bhatia, Kelly M Kenzik

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jeffrey A FranksDivision of Hematology and Oncology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama.
Elizabeth S DavisDepartment of Surgery, Chobanian & Avedisian School of Medicine, Boston University, Boston, Massachusetts.
Smita BhatiaInstitute for Cancer Outcomes and Survivorship, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama.
Kelly M KenzikDepartment of Surgery, Chobanian & Avedisian School of Medicine, Boston University, Boston, Massachusetts; Slone Epidemiology Center, Boston University, Boston, Massachusetts. Electronic address: Kelly.Kenzik@bmc.org.

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
NCI NIH HHS R37 CA266193
6 · The paper itself

Abstract

introductionRural disparities in cancer outcomes have been widely evaluated, but limited evidence is available to describe what characteristics of rural environments contribute to the increased risk of poor outcomes. Therefore, this manuscript sought to assess the mediating effects of county characteristics on the relationship between urban/rural status and mortality among patients with cancer, characterize county profiles, and determine at-risk county profiles alongside rural settings.

methodsPatients diagnosed with cancer between 2000 and 2016 were assessed using Surveillance, Epidemiology and End Results data linked to the 2010 Rural-Urban Commuting Codes and 2010 County Health Rankings. There were 757,655 patients representing 596 counties (of 3,143 in the U.S.) and 12 states. Mediation analyses, conducted in 2023, estimated the direct contribution of rurality to 5-year all-cause survival and the contribution of the rural effect indirectly through County Health Ranking domains. Latent class analysis and survival models identified county groupings and estimated the hazard of mortality associated with class membership.

resultsRankings for premature death, clinical care, and physical environment resulted in rural patients having 17.9%-20.2% less survival time than urban patients. Of this, 4.1%-12.6% of the total excess risk was mediated by these characteristics. Patients living in rural and high-risk county classes saw higher all-cause mortality than those in urban lower-risk counties (hazard ratio=1.04, 95% CI=1.01, 1.08 and 1.07, 95% CI=1.03, 1.11).

conclusionsCounties with poorer health rankings had increased mortality risks regardless of rurality; however, the poor rankings, notably health behaviors and social and economic factors, elevated the risk for rural counties.

Indexed as

Health Status DisparitiesNeoplasmsRural PopulationAdultAgedFemaleHumansMaleMiddle AgedSEER ProgramUnited StatesUrban Population

Identifiers

PMID38342479
PMCPMC11193638

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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.