Evidence map›Paper›PMID 41983917›Full record

ArticleJournal of Parkinson's disease2026

Content and quality analysis of YouTube videos on therapeutic exercises for Parkinson's disease.

Anıl Tosun, Duygu Aktar Reyhanioglu

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

2 authors.

Anıl TosunFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Fenerbahce University, Istanbul, Turkiye.
Duygu Aktar ReyhaniogluFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Fenerbahce University, Istanbul, Turkiye.ORCID 0000-0001-6633-8440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundParkinson's disease (PD) is the most common movement disorder, and patients increasingly use YouTube to obtain health-related information.ObjectiveThis study aimed to assess the content quality and informational reliability of YouTube videos on PD exercises.MethodsA total of 150 English-language YouTube videos were screened using the search terms "Parkinson exercises", "Parkinson physiotherapy exercises", and "Parkinson home exercise program". For each video, the source, upload date, number of views, likes, dislikes, and comments were recorded. The Video Power Index (VPI) was assessed using the view ratio (views/day) and like ratio (likes × 100 / [likes + dislikes]). The clinical quality, reliability, and educational value of PD-specific exercise videos were assessed using the Global Quality Scale (GQS), modified DISCERN (mDISCERN), and guideline-based criteria derived from the European Physiotherapy Guideline for Parkinson's Disease (PD-GEC).ResultsA total of 29 videos met the inclusion criteria and were analyzed. Videos explaining how and why exercises were performed demonstrated higher mDiscern and GQS scores, while providing repetition, duration, and intensity information was associated with higher GQS scores but not mDiscern (p = 0.080); no differences were observed for disease specificity, functional linkage, or safety warnings (all p > 0.05). PD-GEC scores were not significantly related to video engagement metrics.ConclusionHigher-quality videos tended to provide clear explanations of exercise rationale and dosage, while guideline-based clinical features, including PD-GEC criteria, were not associated with viewer engagement.

Indexed as

Consumer Health InformationExercise TherapyParkinson DiseaseSocial MediaVideo RecordingHumansReproducibility of Resultsexercisehealth informationParkinsonsocial mediavideo database

Identifiers

PMID41983917
PMCPMC13435159

What OpenQuestion holds

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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.