Evidence map›Paper›PMID 41726313›Full record

ReviewCurrent epidemiology reports2026

Application of Spatial Methods in Rural Cancer Control Research in the United States.

Whitney E Zahnd, Jan M Eberth, Sarah H Nash, Amy L Tran, Gabriel A Benavidez, Michelle B Shin, Malesa Pereira, Arrianna Marie Planey

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current epidemiology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Whitney E ZahndDepartment of Health Management and Policy, College of Public Health, University of Iowa, 145 N. Riverside Dr, Iowa City, IA 52242 USA.ORCID 0000-0001-5174-8666
Jan M EberthDepartment of Population Health Sciences, Virginia Tech, Blacksburg, VA USA.ORCID 0000-0001-9500-4212
Sarah H NashComprehensive Cancer Center, New Mexico Tumor Registry, Albuquerque, NM USA.ORCID 0000-0002-9038-6001
Amy L TranDepartment of Health Promotion and Disease Prevention, Cancer Prevention and Control Research Network, University of North Carolina at Chapel Hill, Chapel Hill, NC USA.
Gabriel A BenavidezDepartment of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, TX USA.ORCID 0000-0003-2268-6229
Michelle B ShinDepartment of Child, Family, and Population Health Nursing, University of Washington, Seattle, WA USA.ORCID 0000-0002-5022-3566
Malesa PereiraDepartment of Community Health Sciences and Policy, LSU Health School of Public Health, New Orleans, LA USA.ORCID 0000-0001-5111-5439
Arrianna Marie PlaneyDepartment of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC USA.ORCID 0000-0003-4739-090X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of Review: The 66 million Americans who live in rural areas experience notable cancer disparities. It is imperative to examine the spatial elements of these disparities to know how to best target policies and interventions. Our review summarizes spatial methods in rural cancer control research. Recent Findings: Spatial methods relevant for rural cancer control research range from identifying patterns to spatial accessibility to regression approaches. Recent applications have adapted to the new rural health landscape by considering the role of telehealth in spatial accessibility measures and the impact of rural hospital closures in multilevel regression modeling with spatial considerations. Further, research continues to innovate on small area estimation techniques to provide useful risk factor and burden estimates to inform interventions. Summary: As rural cancer disparities persist, it is critical that researchers continue to develop and adapt spatial methods that will best inform policies and interventions to reduce these disparities.

Indexed as

Cancer, rural health, mapping and visualizationSpatial epidemiologySpatial statistics

Identifiers

PMID41726313
PMCPMC12923432

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.