ArticleJournal of neurology2020
Quantity and quality of gait and turning in people with multiple sclerosis, Parkinson's disease and matched controls during daily living.
Article in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 55 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.
Balance Tele-rehabilitation With Wearable Technology for Older Adults With Parkinson's Disease
Wearable Technology to Characterize and Treat mTBI Subtypes: Biofeedback-Based Precision Rehabilitation
Who cites it
55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.
- Real-world gait study of Parkinson's disease using wearable sensors: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Characterizing gait in people with multiple sclerosis using digital data from smartphone sensors: A proposed framework.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Pooled it
- Recovery of daily-life walking after total knee arthroplasty: A two-year longitudinal study and comparison with healthy controls.Osteoarthritis and cartilage open · 2026Article
- Resting-state functional connectivity correlates of gait and turning performance in multiple sclerosis: a multivariate pattern analysis.Scientific reports · 2025Article
- A systematic review of real-world gait-related digital mobility outcomes in Parkinson's disease.NPJ digital medicine · 2025Article
- Your turn: At home turning angle estimation for Parkinson's disease severity assessment.Artificial intelligence in medicine · 2025Article
- Capture of Longitudinal Change in Real-Life Walking in Cerebellar Ataxia Increases Patient Relevance and Effect Size.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Daily life mobility detects frailty, falls, and functioning in older prostate cancer survivors treated with androgen deprivation therapy.Journal of geriatric oncology · 2025Article
- A framework to standardize gait study protocols in Parkinson's disease.Journal of Parkinson's disease · 2025Article
- Clinic vs. daily life gait characteristics in patients with spinocerebellar ataxia.Frontiers in digital health · 2025Article
- Cognition is associated with daily-life mobility in people with Parkinson's disease.Clinical parkinsonism & related disorders · 2025Article
- Personalized versus fixed tactile cueing in Parkinson's disease: Protocol for a randomized controlled trial on gait automaticity.PloS one · 2025Article
- Gait characteristics in people with Friedreich ataxia: daily life versus clinic measures.Frontiers in neurology · 2025Article
- Investigating the Safety of Fampridine in Patients with Different Stages of Multiple Sclerosis.International journal of preventive medicine · 2025Article
- Gait alteration during turning while walking in older adults with benign paroxysmal positioning vertigo.Annals of medicine · 2024Article
- Evaluation of a finite state machine algorithm to measure stepping with ankle accelerometry: Performance across a range of gait speeds, tasks, and individual walking ability.Medical engineering & physics · 2024Article
- Virtual Obstacle Avoidance Strategy: Navigating through a Complex Environment While Interacting with Virtual and Physical Elements.Sensors (Basel, Switzerland) · 2024Article
- The Use of Novel Instrumented Socks to Detect Changes in Daily Life Mobility During an Exercise Intervention in Prostate Cancer Survivors Treated with Androgen Deprivation Therapy.Seminars in oncology nursing · 2024Article
- Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers.Cerebellum (London, England) · 2024Review
- Imbalance and Falls in Patients with Parkinson's Disease: Causes and Recent Developments in Training and Sensor-Based Assessment.Brain sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Clinical trials need to specify which specific gait characteristics to monitor as mobility measures for each neurological disorder. As a first step, this study aimed to investigate a set of measures from daily-life monitoring that best discriminate mobility between people with multiple sclerosis (MS) and age-matched healthy control subjects (MS-Ctl) and between people with Parkinson's disease (PD) and age-matched healthy control subjects (PD-Ctl). Further, we investigated how these discriminative measures relate to the disease severity of MS or PD. We recruited 13 people with MS, 21 MS-Ctl, 29 people with idiopathic PD, and 20 PD-Ctl. Subjects wore 3 inertial sensors on their feet and the lumbar back for a week. The Area Under Curves (AUC) from the receiver operator characteristic (ROC) plot was calculated for each measure to determine the objective measures that best separated the MS and PD groups from their respective control cohorts. Adherence wearing the sensors was similar among groups for 58-66 h of recording (p = 0.14). Quantity of mobility (activity measures, such as a median number of strides per gait bout, AUC = 0.93) best discriminated mobility impairments in MS from MS-Ctl. In contrast, quality of mobility (such as turn angle, AUC = 0.90) best discriminated mobility impairments in PD from PD-Ctl. Mobility measures with AUC > 0.80 were correlated with MS and PD clinical scores of disease severity. Thus, measures characterizing mobility impairments differ for MS versus PD during daily life suggesting that mobility measures for clinical trials and clinical practice need to be specific to each neurological disorder.
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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.