ArticleFrontiers in neurology2023
The Parkinson's disease waiting room of the future: measurements, not magazines.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Closing the Gate Before the Horse is out of the Barn: A Model to Effectively Predict the First Fall in Patients with Parkinson's Disease.Movement disorders clinical practice · 2026Article
- A Self-Administered, Digitized Approach to Quantifying the Cardinal Motor Symptoms in Parkinson's Disease.Sensors (Basel, Switzerland) · 2026Article
- A machine learning approach to quantifying fall conversion risk in fall-naïve Parkinson's patients.Parkinsonism & related disorders · 2026Article
- A Comprehensive Evaluation of Mobility: Validation of the Functional Ambulation and Stair Test in Older Adults.Journal of clinical medicine · 2026Article
- Utilizing an Augmented Reality Headset to Accurately Quantify Lower Extremity Function in Parkinson's Disease.Sensors (Basel, Switzerland) · 2026Article
- Using Loss of Balance to Understand Postural Instability Associated With Parkinson's Disease.Parkinson's disease · 2026Article
- Including individuals with Parkinson's disease and deep brain stimulation in rehabilitation trials: feasibility, challenges, and preliminary gait and postural stability results.Parkinsonism & related disorders · 2025Article
- Validation of the Comprehensive Augmented Reality Testing Platform to Quantify Parkinson's Disease Fine Motor Performance.Journal of clinical medicine · 2025Article
- Cognitive measures predict falls in Parkinson's disease: Insights from the CYCLE-II cohort.Parkinsonism & related disorders · 2025Article
- Digital gait biomarkers in Parkinson's disease: susceptibility/risk, progression, response to exercise, and prognosis.NPJ Parkinson's disease · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Utilizing technology to precisely quantify Parkinson's disease motor symptoms has evolved over the past 50 years from single point in time assessments using traditional biomechanical approaches to continuous monitoring of performance with wearables. Despite advances in the precision, usability, availability and affordability of technology, the "gold standard" for assessing Parkinson's motor symptoms continues to be a subjective clinical assessment as none of these technologies have been fully integrated into routine clinical care of Parkinson's disease patients. To facilitate the integration of technology into routine clinical care, the Develop with Clinical Intent (DCI) model was created. The DCI model takes a unique approach to the development and integration of technology into clinical practice by focusing on the clinical problem to be solved by technology rather than focusing on the technology and then contemplating how it could be integrated into clinical care. The DCI model was successfully used to develop the Parkinson's disease
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.