ReviewFrontiers in neuroscience2018
Quantifying Motor Impairment in Movement Disorders.
Review in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Wearable GPS and Accelerometer Technologies for Monitoring Mobility and Physical Activity in Neurodegenerative Disorders: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- [The sensorimotor domain in the research domain criteria system: progress and perspectives].Der Nervenarzt · 2021Pooled it
- Interaction- and asymmetry-aware facial blendshape analysis for objective quantification of Parkinsonian hypomimia.NPJ Parkinson's disease · 2026Article
- Tracking the longitudinal progression of Bradykinesia in Parkinson's disease from videos using VisionMD.Journal of Parkinson's disease · 2026Article
- Machine Learning Aided Kinematic Profiling of Reaching Movements Separates Spinocerebellar Ataxia type 12 and Essential Tremor.Cerebellum (London, England) · 2026Article
- Attentive Prototype Learning with Wearable Sensor Mutual Information for Fall Risk Stratification of Parkinson's Patients.Bioengineering (Basel, Switzerland) · 2026Article
- Delineating white matter phenotypes of sensori-/psychomotor functioning in large-scale cohorts of healthy individuals and patients with mental disorders across the lifespan (whiteSPAN): rationale and methods of an interdisciplinary bicentric project.European archives of psychiatry and clinical neuroscience · 2026Article
- Advances in ocular motor and pupil biomarkers for neurological disorders.Brain communications · 2026Review
- AI-Driven Analysis of Wrist-Worn Sensor Data for Monitoring Individual Treatment Response and Optimizing Levodopa Dosing in Parkinson's Disease.Sensors (Basel, Switzerland) · 2025Article
- Quantitative and qualitative tremor evaluation after MR-guided focused ultrasound thalamotomy.Frontiers in neurology · 2025Article
- Eye movement and pupillary response abnormalities measured using virtual reality as biomarkers in the diagnosis of early-stage Parkinson's disease.Frontiers in neurology · 2025Article
- Predicting future fallers in Parkinson's disease using kinematic data over a period of 5 years.NPJ digital medicine · 2024Article
- Disease-modifying therapies for Parkinson disease: lessons from multiple sclerosis.Nature reviews. Neurology · 2024Review
- Implementing sensor-based digital health technologies in clinical trials: Key considerations from the eCOA Consortium.Clinical and translational science · 2024Review
- A Lightweight Pathological Gait Recognition Approach Based on a New Gait Template in Side-View and Improved Attention Mechanism.Sensors (Basel, Switzerland) · 2024Article
- Improved measurement of disease progression in people living with early Parkinson's disease using digital health technologies.Communications medicine · 2024Article
- Identification of motor progression in Parkinson's disease using wearable sensors and machine learning.NPJ Parkinson's disease · 2023Article
- Article
- Longitudinal Monitoring of Progressive Supranuclear Palsy using Body-Worn Movement Sensors.Movement disorders : official journal of the Movement Disorder Society · 2022Article
- Digital Phenotyping in Clinical Neurology.Seminars in neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Until recently the assessment of many movement disorders has relied on clinical rating scales that despite careful design are inherently subjective and non-linear. This makes accurate and truly observer-independent quantification difficult and limits the use of sensitive parametric statistical methods. At last, devices capable of measuring neurological problems quantitatively are becoming readily available. Examples include the use of oculometers to measure eye movements and accelerometers to measure tremor. Many applications are being developed for use on smartphones. The benefits include not just more accurate disease quantification, but also consistency of data for longitudinal studies, accurate stratification of patients for entry into trials, and the possibility of automated data capture for remote follow-up. In this mini review, we will look at movement disorders with a particular focus on Parkinson's disease, describe some of the limitations of existing clinical evaluation tools, and illustrate the ways in which objective metrics have already been successful.
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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.