Evidence map›Paper›PMID 41461313›Full record

ArticlePreventive medicine2026

Geographic clusters of human papillomavirus-associated cancer incidence in the US, 2008-2022.

Todd Burus, Krystle A Lang Kuhs, Ashish A Deshmukh, Haluk Damgacioglu

Abstract read
In one paragraph

Article in Preventive medicine, 2026. 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

4 authors.

Todd BurusMarkey Cancer Center, University of Kentucky, Lexington, KY, USA; Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, USA. Electronic address: tburus@uky.edu.
Krystle A Lang KuhsMarkey Cancer Center, University of Kentucky, Lexington, KY, USA; Department of Epidemiology & Environmental Health, College of Public Health, University of Kentucky, Lexington, KY, USA.
Ashish A DeshmukhDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA.
Haluk DamgaciogluDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA.

Funding

Translational Science Laboratory Shared ResourceP30CA138313 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI John J Lemasters · 2009 to 2026
$42.7M
University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Jennifer F Rogers · 2013 to 2026
$38.3M
NCI NIH HHS P30 CA138313NCI NIH HHS P30 CA177558
6 · The paper itself

Abstract

objectiveDespite known state and regional differences, United States (US) county-level patterns of human papillomavirus (HPV)-associated cancer incidence remain unexplored.

methodsIn this cross-sectional study, we analyzed US county-level HPV-associated cancer incidence rates from 2008 to 2022 using the US Cancer Statistics Incidence Analytic Database to identify geographic clusters of high and low incidence. Clusters were identified using the Getis-Ord Gi* statistic and assessed for differences in cluster-level sociodemographic characteristics and sex-and-site-specific incidence.

resultsWe found 373 hot spot and 409 cold spot counties, with median incidence rates of 16.14 and 10.62 per 100,000, respectively. Hot spot counties were particularly concentrated in Central Appalachia, the northern portion of the Mississippi Delta, and northern Florida. Compared to cold spots, hot spot counties were more rural (median, 72.02 % vs. 42.09 %) and had higher poverty (median, 17.71 % vs 10.51 %). The largest disparities between cluster-level incidence rates were observed in oropharyngeal and vulvar cancers, with rates over 60 % higher in hot spot counties than cold spot counties.

conclusionOur study identified distinct geographic clusters with disproportionately high HPV-associated cancer incidence. These findings highlight areas where intensified prevention and control efforts, including direct vaccination, screening, and outreach efforts, are needed to eliminate HPV-related cancer disparities.

Indexed as

NeoplasmsPapillomavirus InfectionsAdultCross-Sectional StudiesFemaleHuman Papillomavirus VirusesHumansIncidenceMaleMiddle AgedPapillomaviridaeUnited Statescancer incidenceCluster analysisGeographic disparitiesHuman papillomavirusRisk factors

Identifiers

PMID41461313
PMCPMC12854245

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