Evidence map›Paper›PMID 40448995›Full record

ArticleMayo Clinic proceedings2025

Midwest Urban-Rural Differences in Cancer Prevalence.

Christine M Prissel, Brandon R Grossardt, Lila J Finney Rutten, Christi A Patten, Jessica D Austin, Jennifer L St Sauver

Abstract read
In one paragraph

Article in Mayo Clinic proceedings, 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. Beyond Rurality: Individual Socioeconomic Status and Chronic Disease Prevalence.medRxiv : the preprint server for health sciences · 2026
    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

6 authors.

Christine M PrisselDivision of Epidemiology, Department of Quantitative Health, Mayo Clinic, Rochester, MN; Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Brandon R GrossardtDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Lila J Finney RuttenDivision of Epidemiology, Department of Quantitative Health, Mayo Clinic, Rochester, MN.
Christi A PattenDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN.
Jessica D AustinDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ.
Jennifer L St SauverDivision of Epidemiology, Department of Quantitative Health, Mayo Clinic, Rochester, MN; The Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN. Electronic address: stsauver.jennifer@mayo.edu.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NCI NIH HHS P30 CA015083NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

objectiveTo assess differences in cancer prevalence across the urban-rural continuum, which may help identify target areas for cancer treatment and prevention efforts.

methodsWe identified residents of a 27-county region of Minnesota and Wisconsin on January 1, 2020, using the Rochester Epidemiology Project. Rural-urban commuting area classifications were used to categorize addresses as urban core, large town, small town, or isolated rural. Diagnostic codes were extracted from the 4 years prior. Codes were grouped into cancer types by Clinical Classifications Software Refined categories. Logistic regression models were used to estimate the effect of rurality on cancer prevalence. Analyses were stratified by rurality, directly standardized by age and sex to the total 2020 US population using survey sampling weights and analytically adjusted by including indicator variables for non-White race, Hispanic ethnicity, and smoking status.

resultsWe found a higher prevalence of Hodgkin lymphoma among isolated rural residents compared with urban residents (odds ratio [OR], 1.77; 95% CI, 1.28 to 2.44). In addition, men in large towns had a higher prevalence of throat cancer compared with urban men (OR, 1.57 [1.03 to 2.39]). Rural women had a higher prevalence of colorectal (large town: OR, 1.32 [1.12 to 1.55]; small town: OR, 1.23 [1.00 to 1.53]), anal (isolated rural: OR, 2.22 [1.27 to 3.88]), and ovarian (large town: OR, 1.40 [1.09 to 1.78]) cancer compared with women residing in urban areas.

conclusionOur findings underscore the importance of moving beyond the simple urban-rural dichotomy to address cancer disparities.

Indexed as

NeoplasmsRural PopulationUrban PopulationAdultAgedFemaleHumansMaleMiddle AgedMinnesotaPrevalenceWisconsin

Identifiers

PMID40448995
PMCPMC12226222

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