Evidence map›Paper›PMID 40550637›Full record

ArticleJournal of public health dentistry2025

Head and Neck Examinations Among Patients Presenting to HRSA-Funded Health Centers in the United States.

Leah I Leinbach

Abstract read
In one paragraph

Article in Journal of public health dentistry, 2025. 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

1 author.

Leah I LeinbachNational Institute of Dental & Craniofacial Research, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0003-0851-6944

Funding

Intramural NIH HHS Z99 DE999999NIDCR NIH HHS
6 · The paper itself

Abstract

objectiveHealth centers funded by the Health Resources and Services Administration (HRSA) are a safety net for people who may not be able to access care elsewhere. Patients eligible for care at these facilities share some of the same risk factors for developing head and neck cancer. The objective of this study is to examine the prevalence of head and neck cancer examinations among patients of HRSA-funded health centers.

methodsThis is an analysis of the cross-sectional 2022 Health Center Patient Survey (HCPS). Self-reported data from this survey of patients of health centers regarding receipt of head and neck examinations is summarized, with results stratified by sociodemographic, behavioral, and health-related factors.

resultsFour thousand four hundred and fourteen unweighted patients (20,693,940 weighted) participated in the HCPS, 69.5% of whom answered questions about a head and neck exam. Of these, 9.9% of patients reported a history of a head and neck exam (HNE). Patients from minoritized racial/ethnic groups were less likely to report an HNE compared to White, non-Hispanic patients. Patients with Medicare, Medicaid, and lower incomes were also less likely to report an HNE compared to patients with private insurance and incomes above $50,000 per year. A dental exam anywhere within the last year was associated with a report of an HNE.

conclusionsDisparities in reported HNEs were observed by patient race/ethnicity, medical payor, income, and recency of dental visit among patients of US health centers. Health centers may be uniquely positioned to explore and generate evidence regarding HNEs that could inform changes in practice.

Indexed as

Head and Neck NeoplasmsPhysical ExaminationAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited Statescommunity health centershead and neck neoplasmsoral examinationsoral healthprevention

Identifiers

PMID40550637
PMCPMC12264812

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.