ArticleClinical parkinsonism & related disorders2025
"Does speech in patients with different Parkinson's disease subtypes decline over time?"
Article in Clinical parkinsonism & related disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Longitudinal Evaluation of Dysarthria Progression in Patients with Parkinson's Disease.Diagnostics (Basel, Switzerland) · 2026Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study investigates whether speech changes over time in patients with different motor subtypes of Parkinson's disease (PD). Methods: This longitudinal study included 60 individuals with PD, classified into tremor-dominant (n = 42) and non-tremor-dominant (n = 18) subtypes according to the Movement Disorder Society Unified Parkinson's Disease Rating Scale. Participants were assessed at three points: baseline, 12 months, and 24 months. Speech samples were collected from diadochokinesis (/pataka/) and 60-second monologue tasks. The analyzed acoustic variables included syllable number, duration, phonation time, articulation rate, average syllable duration (ASD), and pause ratio. Results: There were no statistically significant differences between groups regarding age (p = 0.298), disease duration (p = 0.098), age at symptom onset (p = 0.879), HY (p = 0.895), and UPDRS (p = 0.224) at baseline. The tremor- and non-tremor-dominant subtypes did not show significant differences over time when analyzed separately in articulation time metrics. However, significant differences were observed between the subtypes in all variables of the diadochokinesia task, including the number of syllables (p < 0.001), phonation time (p < 0.001), articulation rate (p = 0.002), and ASD (p = 0.028). Regarding the trend analysis, for the monologue, the following were observed: dominant non-tremor [number of syllables (R Conclusion: Over three years, the speech revealed that individuals with tremor and non-tremor subtypes exhibited stable patterns over time. Distinct speech differences emerged between the two groups, and articulation time metrics proved to be an effective tool for distinguishing between subtypes.This task emerged as a relevant approach from which biomarkers can be derived.
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