Evidence map›Paper›PMID 36762829›Full record

ArticleJournal of the National Cancer Institute2023

Defining rurality: an evaluation of rural definitions and the impact on survival estimates.

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

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
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  7. Review
  8. Identifying Measures for Understanding and Addressing County-Level Disparities in Adolescent HPV Vaccination Coverage in North Carolina.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  9. Exploring rural-urban differences in the receipt of nonelective cancer-specific gastrointestinal surgery using a multilevel mixed-effects approach.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2025
    Article
  10. Article
  11. Article
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  13. Urban-rural differences in cancer mortality: Operationalizing rurality.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024
    Article
  14. Article
  15. Article
  16. 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

4 authors.

Jeffrey A FranksDivision of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL, USA.
Elizabeth S DavisDepartment of Surgery, Boston University, Boston, MA, USA.
Smita BhatiaDivision of Pediatric Hematology, Oncology and Blood or Marrow Transplant, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, USA.
Kelly M KenzikDepartment of Surgery, Boston University, Boston, MA, USA.ORCID 0000-0002-6402-8446

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 CA266193NIH HHS R37CA266193
6 · The paper itself

Abstract

backgroundPatients with cancer living in rural areas have inferior cancer outcomes; however, studies examining this association use varying definitions of "rural," complicating comparisons and limiting the utility of the results for policy makers and future researchers.

methodsSurveillance, Epidemiology, and End Results data (2000-2016) were used to assess risk of cancer mortality and mortality from any cause across 4 definitions of rurality: Urban Influence codes (UIC), National Center for Health Statistics (NCHS), Rural-Urban continuum codes (RUCC), and Index of Relative Rurality. Binary (urban vs rural) and ternary (urban, micropolitan, rural) definitions were evaluated. Multivariable parametric survival models estimated hazards of mortality overall and among 3 cancer groupings: screening related, obesity related, and tobacco related. Definition agreement was also assessed.

resultsOverall, 3 788 273 patients with an incident cancer representing 605 counties were identified. There was little discordance between binary definitions of rural vs urban and moderate agreement at the 3 levels. Adjusted models using binary definitions revealed 15% to 17% greater hazard of cancer mortality in rural compared with urban. At the 3 levels when comparing rural with metropolitan, RUCC and NCHS saw similarly increased hazard ratios; however, Index of Relative Rurality did not. Screening-related cancers saw the highest hazards of mortality and the largest divergence between definitions. Obesity-related and tobacco-related cancers saw similarly increased hazards of mortality at the binary and ternary levels.

conclusionsHazard of death is similar across binary definitions; however, this differed when categorized as ternary or continuous, especially among screening-related cancers. Results suggest that study purpose should direct choice of definitions and categorization.

Indexed as

NeoplasmsHumansObesityResearch DesignRural PopulationUnited StatesUrban Population

Identifiers

PMID36762829
PMCPMC10165490

What OpenQuestion holds

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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.