The Effectiveness of Physiotherapy Interventions for Mobility in Severe Multiple Sclerosis: A Systematic Review and Meta-Analysis

Background. People with Multiple Sclerosis (pwMS) prioritise gait as the most valuable function to be affected by MS. Physiotherapy plays a key role in managing gait impairment in MS. There is little evidence on the effectiveness of physiotherapy for severe MS. Objective. To undertake a systematic r...

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Vydané v:Multiple sclerosis international Ročník 2022; s. 1 - 15
Hlavní autori: Binshalan, Tarub, Nair, Krishnan Padmakumari Sivaraman, McNeill, Alisdair
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Hindawi 11.07.2022
John Wiley & Sons, Inc
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ISSN:2090-2654, 2090-2662
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Shrnutí:Background. People with Multiple Sclerosis (pwMS) prioritise gait as the most valuable function to be affected by MS. Physiotherapy plays a key role in managing gait impairment in MS. There is little evidence on the effectiveness of physiotherapy for severe MS. Objective. To undertake a systematic review and meta-analysis of the literature to identify evidence for the effectiveness of physiotherapy for gait impairment in severe MS. Methods. The available literature was systematically searched, using a predetermined protocol, to identify research studies investigating a physiotherapy intervention for mobility in people with severe MS (EDSS≥6.0). Data on mobility related endpoints was extracted. Meta-analysis was performed where a given mobility end point was reported in at least 3 studies. Results. 37 relevant papers were identified, which included 788 pwMS. Seven mobility-related endpoints were meta-analysed. Robot-Assisted Gait Training (RAGT) was found to improve performance on the 6-minute walk test, 10-metre walk test, fatigue severity scale, and Berg Balance Scale. Neither body weight supported training nor conventional walking training significantly improved any mobility-related outcomes. Conclusion. Physiotherapy interventions are feasible for mobility in severe MS. There is some evidence for the effectiveness of RAGT.
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Academic Editor: Antonio Bertolotto
ISSN:2090-2654
2090-2662
DOI:10.1155/2022/2357785