ReviewFrontiers in neurology2015
Digital Health Revolution: Is it Time for Affordable Remote Monitoring for Parkinson's Disease?
Review in Frontiers in neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Quantifying device type and handedness biases in a remote Parkinson's disease AI-powered assessment.NPJ digital medicine · 2025Article
- Toward Improved Treatment and Empowerment of Individuals With Parkinson Disease: Design and Evaluation of an Internet of Things System.JMIR formative research · 2022Article
- Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease.Journal of neurology · 2022Article
- Hold that pose: capturing cervical dystonia's head deviation severity from video.Annals of clinical and translational neurology · 2022Article
- Quantity and quality of gait and turning in people with multiple sclerosis, Parkinson's disease and matched controls during daily living.Journal of neurology · 2020Article
- Digital Biomarkers of Mobility in Parkinson's Disease During Daily Living.Journal of Parkinson's disease · 2020Article
- A Smart Device System to Identify New Phenotypical Characteristics in Movement Disorders.Frontiers in neurology · 2019Article
- Telehealth Management of Parkinson's Disease Using Wearable Sensors: An Exploratory Study.Digital biomarkers · 2017Article
- Biometric Digital Health Technology for Measuring Motor Function in Parkinson's Disease: Results from a Feasibility and Patient Satisfaction Study.Frontiers in neurology · 2017Article
- Technology in Parkinson's disease: Challenges and opportunities.Movement disorders : official journal of the Movement Disorder Society · 2016Review
- Objective characterization of daily living transitions in patients with Parkinson's disease using a single body-fixed sensor.Journal of neurology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.