ReviewJournal of Parkinson's disease2021
Smartphones for Remote Symptom Monitoring of Parkinson's Disease.
Review in Journal of Parkinson's disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Primary prevention of Parkinson's disease: proceedings, the 8C's and a position statement from the Parkinson's disease prevention think tank.NPJ Parkinson's disease · 2026Review
- Using a smartwatch and smartphone to assess early Parkinson's disease in the WATCH-PD study over 12 months.NPJ Parkinson's disease · 2024Article
- Beyond the clinic: the rise of wearables and smartphones in decentralising healthcare.NPJ digital medicine · 2023Article
- Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study.JMIR formative research · 2022Article
- Feasibility of a Multimodal Telemedical Intervention for Patients with Parkinson's Disease-A Pilot Study.Journal of clinical medicine · 2022Article
- High-Performance Computing Analysis and Location Selection of Logistics Distribution Center Space Based on Whale Optimization Algorithm.Computational intelligence and neuroscience · 2022Article
- Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson's Disease.Journal of Parkinson's disease · 2022Article
- Parkinson's Disease and Wearable Technology: An Indian Perspective.Annals of Indian Academy of 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
1 author at 1 institution in 2 countries.
Funding
Abstract
Parkinson's disease is a complex and heterogeneous condition, and there are many gaps in the medical community's scientific and practical understanding of the disease. Closing these gaps relies on objective data about symptoms and signs, collected over long durations. Smartphones contain sensor devices which can be used to remotely capture behavioral signals. From these signals, computational algorithms can distill metrics of symptom severity and progression. This brief review introduces the main concepts of the discipline, addressing the experimental, hardware and software logistics, and computational analysis. The article finishes with an exploration of future prospects for the technology.
Indexed as
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.