ArticleNPJ Parkinson's disease2025
Parkinson's disease medication adjustments based on wearable device information compared to other methods: randomized clinical trial.
Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04176302 (Monitoring of Mobility of Parkinson's Patients for Therapeutic Purposes - Clinical Trial), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled 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.
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.
Monitoring of Mobility of Parkinson's Patients for Therapeutic Purposes - Clinical Trial
Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Technologies used in Parkinson's disease: a meta-analysis of their effect on health-related quality of life.Journal of neurology · 2026Pooled it
- Effects of digital technology-based interventions on balance function and non-motor outcomes in Parkinson's disease: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.Translational neurodegeneration · 2026Review
- Improving Parkinson's disease management through wearable technology: A cost-benefit perspective.PloS one · 2025Article
- Discrepancies in symptom concerns and burden from the perspectives of parkinson's disease patients, caregivers, and physicians.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
Parkinson's disease (PD) is characterized by motor fluctuations, with alternating periods of good ("ON") and poor ("OFF") motor function. Monitoring these fluctuations is crucial for optimizing treatment, yet traditional methods rely on subjective patient reports. This multicenter, single-blind, cluster-randomized trial evaluated the effectiveness of three monitoring approaches in real-world clinical practice. Neurologists from 35 centers were randomized into three groups: one using clinical visit data alone, another incorporating Hauser diary entries, and a third integrating Parkinson's Holter (STAT-ON®) reports. A total of 156 patients were recruited. Changes in 'OFF time' from baseline to 26 weeks were minimal and non-significant across groups. Secondary outcomes, including 'ON time,' dyskinesia, and quality-of-life scores, showed no significant differences. These findings suggest that the choice of motor fluctuation monitoring method may not significantly impact clinical outcomes, underscoring the need for a broader understanding of how these monitoring tools are integrated and utilized in real-world settings. Trial registration: NCT04176302 (November 21, 2019 - ClinicalTrials.gov).
Identifiers
What OpenQuestion holds
Registered trials
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.