Evidence map›Paper›PMID 40304380›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2025

Stage at Diagnosis for Common Cancers according to Rurality, Area Deprivation, and Insurance, 2017 to 2021.

Kathleen M Fairfield, Kimberly Murray, Lise M Cloutier, John L Daggett, Benjamin R Felix, Christina A Kapala, Renee M Fay-Leblanc, Adriana E Nadeau, Bridget K Rauscher, Kathryn Rensenbrink and 2 more

Abstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Kathleen M FairfieldMaineHealth Institute for Research, Scarborough, Maine.ORCID 0000-0002-8384-1977
Kimberly MurrayMaineHealth Institute for Research, Scarborough, Maine.ORCID 0000-0001-5650-170X
Lise M CloutierCentral Maine Healthcare, Internal Medicine, Lewiston, Maine.ORCID 0009-0003-5693-9738
John L DaggettDepartment of Medicine, MaineHealth, Portland, Maine.ORCID 0009-0001-4525-6101
Benjamin R FelixDepartment of Medicine, MaineHealth, Portland, Maine.ORCID 0009-0006-2111-3292
Christina A KapalaMaineHealth, MidCoast Medical Center, Internal Medicine, Bath, Maine.ORCID 0009-0002-8411-1316
Renee M Fay-LeblancGreater Portland Health, Portland, Maine.ORCID 0009-0008-1488-6726
Adriana E NadeauMaineHealth, Western Maine Health, Internal Medicine, Norway, Maine.ORCID 0009-0004-2053-4349
Bridget K RauscherPortland Community Free Clinic, City of Portland, Portland, Maine.ORCID 0009-0006-1835-6322
Kathryn RensenbrinkNorthern Light Health, Internal Medicine, Ellsworth, Maine.ORCID 0009-0007-7589-2014
Debra A RothenbergDepartment of Family Medicine, MaineHealth, Portland, Maine.ORCID 0009-0009-6754-2705
Kevin D SteinMaineHealth Institute for Research, Scarborough, Maine.ORCID 0009-0002-0071-3708

Funding

Understanding Factors Influencing COVID-19 Testing and Vaccination in Immigrant Low-income and Homeless Populations and Testing Targeted InterventionsU54GM115516 · NIGMS · MAINEHEALTH · PI Frances E. Carr · 2017 to 2026
$51.6M
National Institute of General Medical Sciences (NIGMS) U54GM115516NIGMS NIH HHS U54 GM115516
6 · The paper itself

Abstract

Poor access to care among rural and vulnerable populations may result in later-stage cancer diagnoses. Using Maine Cancer Registry data (2017-2021), we examined relationships between rurality, insurance, area deprivation index, and stage for breast, colorectal, lung/bronchus, and prostate cancers. Among 21,208 cancers, regional/distant spread at diagnosis was present among 24% of breast, 60% of colorectal, 69% of lung/bronchus, and 25% of prostate cancers. In the multivariable model, we modeled the odds of being diagnosed with regional/distant (vs. in situ/local spread) according to insurance, rurality, and area deprivation index. Compared with commercial insurance, we observed higher odds of diagnosis at the regional/distant stage (vs. in situ/localized) associated with having Medicaid insurance for breast [adjusted OR (AOR), 1.65; 95% confidence interval (CI), 1.33-2.04], colorectal (AOR, 1.46; 95% CI, 1.09-1.98), and prostate (AOR, 1.88; 95% CI, 1.30-2.70) cancers but no association for lung cancer. People living in isolated rural areas had higher odds of being diagnosed with later-stage colorectal (AOR, 1.24; 95% CI, 1.01-1.53), lung/bronchus (AOR, 1.22; 95% CI, 1.04-1.43), and prostate cancers (AOR, 1.24; 95% CI, 1.04-1.47) compared with urban dwellers. Living in isolated rural areas or being insured by Medicaid was associated with later-stage cancer diagnoses compared with those in more urban areas and with commercial insurance. This suggests an opportunity to improve early detection among these vulnerable populations. PREVENTION RELEVANCE: Rural areas and populations with lower socioeconomic status have an increased incidence of cancer. Screening is an important tool for cancer control, and in the case of colorectal cancer polyp removal and treatment of in situ breast cancers, may be considered prevention. Early detection prevents poor cancer outcomes across these malignancies.

Indexed as

Insurance, HealthNeoplasmsRural PopulationAdultAgedFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMaineMaleMedicaidMiddle AgedNeoplasm StagingRegistriesSocioeconomic Factors

Identifiers

PMID40304380
PMCPMC12316545

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.