Evidence map›Paper›PMID 41322836›Full record

ArticleCureus2025

Staging and Tumor Characteristics of Human Papillomavirus (HPV)-Associated Oropharyngeal Cancer in Northern Nevada: A Retrospective Descriptive Study.

Steven T Cho, Samantha Chang, Nicholas Bazett, Sydney Althoff, Stefan Harpster, Nadya Vinsdata, Dylan Wrye, Katharine Thomas

Abstract read
In one paragraph

Article in Cureus, 2025. 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.

Steven T ChoHematology and Oncology, School of Medicine, University of Nevada, Reno, Reno, USA.
Samantha ChangHematology and Oncology, School of Medicine, University of Nevada, Reno, Reno, USA.
Nicholas BazettHematology and Oncology, School of Medicine, University of Nevada, Reno, Reno, USA.
Sydney AlthoffHematology and Oncology, School of Medicine, University of Nevada, Reno, Reno, USA.
Stefan HarpsterHematology and Oncology, School of Medicine, University of Nevada, Reno, Reno, USA.
Nadya VinsdataHematology and Oncology, School of Medicine, University of Nevada, Reno, Reno, USA.
Dylan WryeHematology and Oncology, School of Medicine, University of Nevada, Reno, Reno, USA.
Katharine ThomasHematology and Oncology, Renown Health, Reno, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC) has demonstrated demographic and geographic disparities in national datasets, but regional data remain limited. This retrospective study analyzed 296 OPSCC patients diagnosed or treated at Renown Regional Medical Center in Northern Nevada between 2014 and 2024. Clinical and demographic variables, including sex, county of residence, and Nevada income quintile, were compared with tumor stage, size, nodal involvement, and metastasis using the chi-squared tests. Stage IV disease was most common at diagnosis (36.5%; N=108), and the majority of patients were male (79.7%; N=235) and White (94.9%; N=281). No statistically significant associations were found between staging variables and sex (p=0.05), geography (p=0.73), or income level (p=0.532). These findings suggest potential regional equity in staging at diagnosis and highlight the need for expanded studies that incorporate broader social determinants and multicenter data to validate trends in HPV-mediated OPSCC presentation.

Indexed as

health equityhpvhpv vaccinationnevadaopsccp16

Identifiers

PMID41322836
PMCPMC12664741

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.