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Robot-assisted gait training in patients with Parkinson's disease: Implications for clinical practice. A systematic review.

Authors :
Carmignano, Simona Maria
Fundarò, Cira
Bonaiuti, Donatella
Calabrò, Rocco Salvatore
Cassio, Anna
Mazzoli, Davide
Bizzarini, Emiliana
Campanini, Isabella
Cerulli, Simona
Chisari, Carmelo
Colombo, Valentina
Dalise, Stefania
Gazzotti, Valeria
Mazzoleni, Daniele
Mazzucchelli, Miryam
Melegari, Corrado
Merlo, Andrea
Stampacchia, Giulia
Boldrini, Paolo
Mazzoleni, Stefano
Source :
NeuroRehabilitation; 2022, Vol. 51 Issue 4, p649-663, 15p, 1 Diagram, 3 Graphs
Publication Year :
2022

Abstract

BACKGROUND: Gait impairments are common disabling symptoms of Parkinson's disease (PD). Among the approaches for gait rehabilitation, interest in robotic devices has grown in recent years. However, the effectiveness compared to other interventions, the optimum amount of training, the type of device, and which patients might benefit most remains unclear. OBJECTIVE: To conduct a systematic review about the effects on gait of robot-assisted gait training (RAGT) in PD patients and to provide advice for clinical practice. METHODS: A search was performed on PubMed, Scopus, PEDro, Cochrane library, Web of science, and guideline databases, following PRISMA guidelines. We included English articles if they used a robotic system with details about the intervention, the parameters, and the outcome measures. We evaluated the level and quality of evidence. RESULTS: We included twenty papers out of 230 results: two systematic reviews, 9 randomized controlled trials, 4 uncontrolled studies, and 5 descriptive reports. Nine studies used an exoskeleton device and the remainders end-effector robots, with large variability in terms of subjects' disease-related disability. CONCLUSIONS: RAGT showed benefits on gait and no adverse events were recorded. However, it does not seem superior to other interventions, except in patients with more severe symptoms and advanced disease. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10538135
Volume :
51
Issue :
4
Database :
Complementary Index
Journal :
NeuroRehabilitation
Publication Type :
Academic Journal
Accession number :
161228320
Full Text :
https://doi.org/10.3233/NRE-220026