Evidence map›Paper›PMID 39925181›Full record

ArticleHead & neck2025

Demographic Disparities in Diagnosis and Treatment of Anxiety and Depressive Disorders in Head and Neck Cancer Survivors.

Tyler J Gallagher, Ryan S Chung, Nyree Khachikyan, Matthew E Lin, Niels C Kokot

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Head & neck, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Tyler J GallagherKeck School of Medicine of the University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-7153-7989
Ryan S ChungKeck School of Medicine of the University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-4732-9028
Nyree KhachikyanKeck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Matthew E LinDepartment of Head and Neck Surgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Niels C KokotKeck School of Medicine of the University of Southern California Department of Otolaryngology-Head & Neck Surgery, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe associations between head and neck cancer (HNC) and anxiety and depression are well-known, but knowledge regarding the association between demographic factors and rates of diagnosis and treatment for these disorders among HNC survivors is incomplete.

methodsThis retrospective study utilized propensity score matching to compare rates of selected new anxiety and/or depressive disorder diagnoses among HNC survivors and treatment of those disorders by sex, race, ethnicity, and language.

resultsResults suggested lower likelihood of anxiety and/or depressive disorder diagnosis among individuals of male sex, and any minority, African American, Asian, and Other race, while diagnosis rates were higher among native Hawaiian/Pacific Islanders. Treatment with pharmacotherapy was less likely among individuals of male sex, any minority and African American Asian race, Hispanic ethnicity, and Spanish language.

conclusionsThis study suggests that mental health diagnosis and treatment among HNC survivors may be inequitable, although further research is necessary to confirm these associations and understand underlying mechanisms.

Indexed as

Anxiety DisordersCancer SurvivorsDepressive DisorderHead and Neck NeoplasmsHealthcare DisparitiesAdultAgedFemaleHumansMaleMiddle AgedPropensity ScoreRetrospective StudiesSex Factorsanxietydepressiondisparitieshead and neck cancer

Identifiers

PMID39925181
PMCPMC12146807

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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.