Evidence map›Paper›PMID 40361326›Full record

ArticleCancers2025

Outcomes for Medicaid Patients with Colorectal Cancer Are Improved in Affluent Neighborhoods, but Disparities Persist.

Kaelyn C Cummins, Mohamad El Moheb, Chengli Shen, Susan J Kim, Russell Witt, Samantha M Ruff, Allan Tsung

Abstract read
In one paragraph

Article in Cancers, 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

7 authors.

Kaelyn C CumminsDepartment of Surgery, University of Virginia, Charlottesville, VA 22903, USA.
Mohamad El MohebDepartment of Surgery, University of Virginia, Charlottesville, VA 22903, USA.
Chengli ShenDepartment of Surgery, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0003-4731-2872
Susan J KimDepartment of Surgery, University of Virginia, Charlottesville, VA 22903, USA.
Russell WittDepartment of Surgery, University of Virginia, Charlottesville, VA 22903, USA.
Samantha M RuffDepartment of Surgery, University of Virginia, Charlottesville, VA 22903, USA.
Allan TsungDepartment of Surgery, University of Virginia, Charlottesville, VA 22903, USA.

Funding

NIH HHS 5T32CA163177-12
6 · The paper itself

Abstract

backgroundSocioeconomic status (SES) significantly influences outcomes in colorectal cancer (CRC) patients, with those from low-SES backgrounds facing worse prognoses. However, living in an affluent neighborhood may mitigate some of these disparities through environmental advantages. This study investigates whether Medicaid-insured CRC patients, as a proxy for low individual SES, experience better outcomes when residing in high-SES neighborhoods.

methodsUsing the National Cancer Database, we examined Medicaid CRC patients, stratifying them by neighborhood SES indicators: median household income and education level. Patients in the highest and lowest quartiles of income and education were compared. Medicaid patients from the highest-SES neighborhoods were compared to the general population. Multivariable regression models analyzed 30- and 90-day postoperative mortality, overall survival (OS), and time from diagnosis to treatment initiation and surgery.

resultsCRC patients in high-income neighborhoods began treatment earlier (coefficient -1.847,

conclusionsHigher neighborhood SES is associated with a significant survival benefit for Medicaid CRC patients, but these patients still lag behind their non-Medicaid counterparts. Understanding the mechanisms by which neighborhood SES influences cancer outcomes could inform targeted interventions to close the survival gap.

Indexed as

colorectal cancereducationincomeMedicaidNational Cancer Databaseoutcomessocioeconomic statussurvival

Identifiers

PMID40361326
PMCPMC12070879

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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.