Evidence map›Paper›PMID 40370339›Full record

ArticleLaryngoscope investigative otolaryngology2025

Prevalence and Treatment of Dysphonia in Parkinson's Disease: A Cross-Sectional National Database Study.

Vicki Liu, Dori Smith, Helena Yip

Abstract read
In one paragraph

Article in Laryngoscope investigative otolaryngology, 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

3 authors.

Vicki LiuCollege of Medicine-Tucson University of Arizona Tucson Arizona USA.ORCID https://orcid.org/0000-0003-3194-4584
Dori SmithDepartment of Otolaryngology-Head and Neck Surgery, College of Medicine-Tucson University of Arizona Tucson Arizona USA.
Helena YipDepartment of Otolaryngology-Head and Neck Surgery, College of Medicine-Tucson University of Arizona Tucson Arizona USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Around 89% of individuals with Parkinson's disease (PD) present with speech and voice disorders, but only 3%-4% receive speech treatment. Using the NIH All of Us Research Program, this study aims to report the prevalence of dysphonia, the incidence of speech evaluations and treatments, and potential disparities in PD patients on a national scale. Methods: ICD-9 and ICD-10 codes were used to identify individuals with PD and dysphonia in the All of Us database. Diagnostic voice care was determined using CPT codes for flexible laryngoscopy and speech evaluation, while treatment was based on CPT codes for vocal fold augmentation and speech therapy. Unadjusted and adjusted logistic regression analyses were conducted to evaluate the association between voice care access and demographic and socioeconomic factors. Results: Of 1968 PD patients, 257 (13.1%) had a concomitant diagnosis of dysphonia. 1683 patients (85.5%) received no voice care. Among those with voice care, 264 (13.4%) underwent a diagnostic evaluation and 124 (6.3%) received treatment. Based on adjusted logistic regression models, factors associated with decreased odds of voice care were female sex (aOR = 0.62, 95% CI = 0.45-0.85, Conclusion: PD commonly presents with voice disorders. Using a national database, only 13.1% of PD patients had a formal dysphonia diagnosis, and only 6.3% received speech treatment. Female sex and Hispanic ethnicity correlated with decreased voice care. This study suggests the underdiagnosis and undertreatment of dysphonia in PD.Level of Evidence: 3.

Indexed as

dysphoniahypokinetic dysarthriaParkinson's diseasespeech disordersvoice therapy

Identifiers

PMID40370339
PMCPMC12076596

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.