ArticleFunctional neurology
Robot-assisted gait training versus treadmill training in patients with Parkinson's disease: a kinematic evaluation with gait profile score.
Article in Functional neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04778852 (Quantitative Assessment of Training Effects Using a Wearable Exoskeleton in Parkinson Disease Patients), which is not on this map. Cited by 27 papers, 6 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.
Quantitative Assessment of Training Effects Using a Wearable Exoskeleton in Parkinson Disease Patients
Who cites it
27 citing papers in PubMed, 6 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- The Effects of Digital Health Interventions on Motor Symptoms, Nonmotor Symptoms, and Quality of Life in Patients With Parkinson Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Robot-assisted gait training for balance, mobility, and gait in Parkinson's disease: a systematic review and meta-analysis.Frontiers in neurology · 2026Pooled it
- Effectiveness of robot-assisted training in adults with Parkinson's disease: a systematic review and meta-analysis.Journal of neurology · 2024Pooled it
- Innovative technology-based interventions in Parkinson's disease: A systematic review and meta-analysis.Annals of clinical and translational neurology · 2024Pooled it
- Comparative efficacy of 24 exercise types on postural instability in adults with Parkinson's disease: a systematic review and network meta-analysis.BMC geriatrics · 2023Pooled it
- Physical Therapist Management of Parkinson Disease: A Clinical Practice Guideline From the American Physical Therapy Association.Physical therapy · 2022Guideline
- Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.Medicine · 2021Trial
- Nanomedicine-Driven Modulation of the Gut-Brain Axis: Innovative Approaches to Managing Chronic Inflammation in Alzheimer's and Parkinson's Disease.International journal of molecular sciences · 2025Review
- Robot-assisted gait training in patients with various neurological diseases: A mixed methods feasibility study.PloS one · 2024Article
- Effects of overground gait training assisted by a wearable exoskeleton in patients with Parkinson's disease.Journal of neuroengineering and rehabilitation · 2023Article
- The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson's disease.Frontiers in aging neuroscience · 2023Review
- Gait pattern after electromechanically-assisted gait training with the Hybrid Assistive Limb and conventional gait training in sub-acute stroke rehabilitation-A subsample from a randomized controlled trial.Frontiers in neurology · 2023Article
- Quantitative assessment of training effects using EksoGT® exoskeleton in Parkinson's disease patients: A randomized single blind clinical trial.Contemporary clinical trials communications · 2022Article
- Cognitive and Physical Intervention in Metals' Dysfunction and Neurodegeneration.Brain sciences · 2022Review
- Artificial intelligence applications and robotic systems in Parkinson's disease (Review).Experimental and therapeutic medicine · 2022Review
- Effect of robot-assisted gait training on the biomechanical properties of burn scars: a single-blind, randomized controlled trial.Burns & trauma · 2022Article
- Detection and assessment of Parkinson's disease based on gait analysis: A survey.Frontiers in aging neuroscience · 2022Review
- Article
- A synthetic kinematic index of trunk displacement conveying the overall motor condition in Parkinson's disease.Scientific reports · 2021Observational
- Gait strategy and body composition in patients with Prader-Willi syndrome.Eating and weight disorders : EWD · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to quantitatively compare the effects, on walking performance, of end-effector robotic rehabilitation locomotor training versus intensive training with a treadmill in Parkinson's disease (PD). Fifty patients with PD were randomly divided into two groups: 25 were assigned to the robot-assisted therapy group (RG) and 25 to the intensive treadmill therapy group (IG). They were evaluated with clinical examination and 3D quantitative gait analysis [gait profile score (GPS) and its constituent gait variable scores (GVSs) were calculated from gait analysis data] at the beginning (T0) and at the end (T1) of the treatment. In the RG no differences were found in the GPS, but there were significant improvements in some GVSs (Pelvic Obl and Hip Ab-Add). The IG showed no statistically significant changes in either GPS or GVSs. The end-effector robotic rehabilitation locomotor training improved gait kinematics and seems to be effective for rehabilitation in patients with mild PD.
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.