ArticleNPJ Parkinson's disease2023
Using a smartwatch and smartphone to assess early Parkinson's disease in the WATCH-PD study.
Article in NPJ Parkinson's disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 87 citations in OpenAlex.
- Continuous Movement Monitoring at Home Through Wearable Devices: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Use of Smartphones and Wrist-Worn Devices for Motor Symptoms in Parkinson's Disease: A Systematic Review of Commercially Available Technologies.Sensors (Basel, Switzerland) · 2025Pooled it
- Movement Disorders and Smart Wrist Devices: A Comprehensive Study.Sensors (Basel, Switzerland) · 2025Pooled it
- Naturalistic Eye Movement Tasks in Parkinson's Disease: A Systematic Review.Journal of Parkinson's disease · 2024Pooled it
- Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson's Disease Screening and Diagnostic Support.Neurology and therapy · 2026Article
- Reciprocity in research: Participant views on return of results in the WATCH-PD qualitative study.Journal of Parkinson's disease · 2026Article
- Digital Health Approaches to Geriatric Rehabilitation: A Narrative Paper.Annals of rehabilitation medicine · 2026Article
- Digital Remote Assessment of Motor and Speech Changes in Amyotrophic Lateral Sclerosis: Longitudinal Observational Study.JMIR formative research · 2026Observational
- In-clinic validation of a smartphone-based finger tapping test for use in neurodegenerative and neurological populations.medRxiv : the preprint server for health sciences · 2026Article
- Digital diagnostics, biomarkers and therapeutics in an evolving healthcare system: From promise to practice.British journal of clinical pharmacology · 2026Review
- Large language model analysis of real-world phone calls reveals prodromal and progressive biomarker of parkinsonism: A two-year proof-of-concept study.PLOS digital health · 2026Article
- Increasing Use of Wearable Devices for Health or Activity Tracking Among Adults with Chronic Diseases in the US.Journal of the American College of Surgeons · 2026Article
- Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease.Annals of neurology · 2026Article
- Harnessing artificial intelligence: Revolutionizing clinical care for Parkinson's disease.Journal of Parkinson's disease · 2026Review
- Parkinson's Disease: From Gene-Environment Risk to Precision Therapy.Medical sciences (Basel, Switzerland) · 2026Review
- Comparison of machine learning models for bradykinesia assessment using digital health technology.Frontiers in digital health · 2026Article
- Speed Matters: Challenging the Notion of Velocity-Independent Rigidity Using Technological Devices in People with Parkinson's Disease: A Systematic Review.Neurology international · 2025Review
- Dynamic Assessment of Fine Motor Control and Vocalization in Parkinson Disease Through a Smartphone App: Cross-Sectional Study of Time-Severity Interaction Effects.JMIR mHealth and uHealth · 2025Article
- Enhanced Detection and Segmentation of Sit Phases in Patients with Parkinson's Disease Using a Single SmartWatch and Random Forest Algorithms.Sensors (Basel, Switzerland) · 2025Article
- A systematic review of real-world gait-related digital mobility outcomes in Parkinson's disease.NPJ digital medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors at 20 institutions in 1 country.
Funding
Abstract
Digital health technologies can provide continuous monitoring and objective, real-world measures of Parkinson's disease (PD), but have primarily been evaluated in small, single-site studies. In this 12-month, multicenter observational study, we evaluated whether a smartwatch and smartphone application could measure features of early PD. 82 individuals with early, untreated PD and 50 age-matched controls wore research-grade sensors, a smartwatch, and a smartphone while performing standardized assessments in the clinic. At home, participants wore the smartwatch for seven days after each clinic visit and completed motor, speech and cognitive tasks on the smartphone every other week. Features derived from the devices, particularly arm swing, the proportion of time with tremor, and finger tapping, differed significantly between individuals with early PD and age-matched controls and had variable correlation with traditional assessments. Longitudinal assessments will inform the value of these digital measures for use in future clinical trials.
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.