Evidence map›Paper›PMID 40928603›Full record

ArticleCancer causes & control : CCC2025

Association of distance to diagnosis and area-based social measures with stage at diagnosis among Iowans with HPV-related cancers.

Emily Janio, Amanda R Kahl, Dosten Kpozehouen, Natoshia Askelson, Sarah H Nash

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Article in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Emily JanioCollege of Public Health, Community and Behavioral Health Department, University of Iowa, Iowa City, IA, USA. emily-janio@uiowa.edu.
Amanda R KahlCollege of Public Health, Iowa Cancer Registry, Epidemiology Department, University of Iowa, Iowa City, IA, USA.
Dosten KpozehouenCollege of Public Health, Biostatistics Department, University of Iowa, Iowa City, IA, USA.
Natoshia AskelsonCollege of Public Health, Community and Behavioral Health Department, University of Iowa, Iowa City, IA, USA.
Sarah H NashCollege of Public Health, Iowa Cancer Registry, Epidemiology Department, University of Iowa, Iowa City, IA, USA.

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Jon C.D. Houtman · 2000 to 2026
$70.0M
Medical Scientist Training ProgramT32GM139776 · NIGMS · UNIVERSITY OF IOWA · PI Gordon F Buchanan · 2021 to 2026
$6.4M
Holden Comprehensive Cancer Center, University of Iowa 3P30CA086862Iowa Cancer Registry Contract HHSN26120130010I, Task Order HHSN26100005NCI NIH HHS P30 CA086862NIGMS NIH HHS T32 GM139776
6 · The paper itself

Abstract

purposeHuman papillomavirus (HPV) causes oral and anogenital cancers, the incidence of which is increasing. Late-stage diagnosis is associated with increased mortality. Neighborhood-level characteristics and distance to place of diagnosis may impact timely diagnosis. Being a largely rural state, Iowa presents a unique location to understand the association between distance, neighborhood characteristics, and stage at diagnosis.

methodsData from the Iowa Cancer Registry from 2010 to 2021 were used to identify adults with HPV-associated cancers (cervical, oropharyngeal, vulvar/vaginal, anal/rectal, and penile). Four area based social measures (ABSMs) were used to operationalize neighborhood characteristics: proportion of families living in poverty, proportion of households participating in food stamps, social vulnerability index, and environmental justice index. Distance was measured from the centroid of a person's census tract to their treatment facility. For each cancer type, we ran four logistic regression models, adjusting for sociodemographic characteristics, to assess associations between distance and each of the ABSMs independently with our outcome, late stage diagnosis.

resultsAmong those with cervical cancer, greater distance to diagnosis was associated with later stage at diagnosis, irrespective of ABSM controlled for. Among those with cervical cancer, greater environmental injustice was associated with later stage at diagnosis (OR = 1.78, 95% CI = [1.02,3.09]). Among those with vulvar/vaginal cancer, greater proportion of families in poverty was associated with earlier stage at diagnosis (OR = 0.31, 95% CI = [0.12, 0.78]). There were no interactions between ABSMs and distance to care.

conclusionsIt is important to consider ABSMs and distance to care when identifying those at-risk of late-stage diagnosis.

Indexed as

Health Services AccessibilityNeoplasmsPapillomavirus InfectionsAdultAgedFemaleHumansIowaMaleMiddle AgedNeighborhood CharacteristicsNeoplasm StagingPapillomaviridaeRegistriesSocioeconomic FactorsUterine Cervical NeoplasmsCancer registryCervical cancerCommunity ecological statusHPV-associated cancerOropharyngeal cancerTravel time

Identifiers

PMID40928603
PMCPMC12630225

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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.