Evidence map›Paper›PMID 40629554›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2025

Colorectal cancer survival disparities in persistent poverty areas.

Peter DelNero, Mario Schootman, Cheng Peng, Mahima Saini, Emily Hallgren, Jonathan Laryea, Chenghui Li

Abstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Cancer Burden in Persistent Poverty Areas across the Cancer Continuum: A Scoping Review to Identify Gaps and Opportunities for Future Research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    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

7 authors.

Peter DelNeroWinthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.ORCID https://orcid.org/0000-0002-8149-9004
Mario SchootmanWinthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Cheng PengWinthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Mahima SainiDivision of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Emily HallgrenDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Jonathan LaryeaWinthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Chenghui LiWinthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
Expanding Translational Science in ArkansasUM1TR004909 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI Laura P James · 2024 to 2026
$11.7M
American Cancer Society RSGI-23-1039245-01-HOPSArkansas Biosciences Institute/Arkansas Insurance Department/Arkansas Healthcare Transparency Initiative CollaborationNCATS NIH HHS UL1 TR003107NCATS NIH HHS UM1 TR004909NIH HHS UL1 TR003107NIH HHS UM1 TR004909Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences
6 · The paper itself

Abstract

purposeWe examined whether living in persistent poverty census tracts was associated with disparities in colorectal cancer (CRC) survival and whether the association varied between urban and rural settings.

methodsUsing 2013-2019 state-wide cancer registry and 2013-2021 death records data, CRC patients were classified by tract-level persistent poverty and rural/urban status. Overall and CRC-specific survival were compared using Kaplan-Meier estimation and log-rank tests. Adjusted analyses were conducted using Cox proportional hazard and Fine-Gray competing risk models.

findingsDuring the study period, 558 (53%) of 1055 CRC patients died in persistent poverty tracts versus 3117 (45%) of 6938 patients in nonpersistent poverty tracts. Of the 3675 deaths, 2269 (61.7%) were from CRC-specific causes. In unadjusted analysis, CRC patients in persistent poverty areas had a higher risk of all-cause (HR, 95%CI: 1.28, 1.17-1.40) and CRC-specific (HR, 95% CI: 1.17, 1.04-1.31) mortality. After covariates adjustment, the relationship between persistent poverty and all-cause mortality (HR, 95% CI: 1.17, 1.06-1.29) and non-CRC-specific mortality (HR, 95% CI: 1.34, 1.15-1.57) remained significant, but CRC-specific mortality did not. In subgroup analyses, persistent poverty was associated with increased overall mortality among urban tracts (HR, 95% CI: 1.22, 1.08-1.38), but not rural tracts.

conclusionsAfter covariates adjustment, CRC patients in persistent poverty tracts are more likely to die of all causes and non-CRC causes but not CRC-specific causes than those in nonpersistent poverty areas, suggesting that differences in CRC-specific deaths may be partly attributed to demographics, geography, tumor characteristics, and treatment.

Indexed as

Colorectal NeoplasmsHealth Status DisparitiesPoverty AreasAgedFemaleHumansMaleMiddle AgedPovertyProportional Hazards ModelsRegistriesRural PopulationSurvival AnalysisUrban Populationcatchment area healthcolorectal neoplasmspoverty areasrural healthsurvival analysis

Identifiers

PMID40629554
PMCPMC12466537

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Registered trials

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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.