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Erschienen in: Neurological Sciences 9/2017

01.09.2017 | Original Article

Can music-based movement therapy improve motor dysfunction in patients with Parkinson’s disease? Systematic review and meta-analysis

verfasst von: Shuai Zhang, Dong Liu, Dan Ye, Haiyu Li, Feng Chen

Erschienen in: Neurological Sciences | Ausgabe 9/2017

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Abstract

This study aimed to quantify whether there is association between music-based movement therapy and motor dysfunction in patients with Parkinson’s disease, and, if so, whether music-based movement therapy can be used as first-line non-pharmacological treatment. To conduct a systematic review and meta-analysis of clinical trials that examined the effect of music-based movement therapy on patient-relevant and disease-specific outcomes. Comprehensive literature was searched of PubMed, EMbase, and the Cochrane Library from inception to November 2016. Randomized controlled trial of patients with Parkinson’s disease was searched to identify trials comparing music-based movement therapy with no music care. A total of 8 studies (11 analyses, 241 subjects) were included; all of them had acceptable quality by PEDro scale score. Studies based on any type of Parkinson’s disease patients were combined and subgroup analyzed. Compared with the control group, the SMD of Berg Balance Scale score was 0.85(0.46 to 1.25), −0.60 (−0.98 to −0.22) in Parkinson Disease Questionnaire-39 summary index, −0.90s (−1.56 to −0.23) in Time Up and Go text, and −0.43 (−1.11 to 0.25) in Unified Parkinson’s Disease Rating Scale Motor Subscale 3 as instrument methods for motor function. Secondary outcomes included cognitive function and quality of life. There was positive evidence to support the use of music-based movement therapy on treatment of motor function; there was neutral evidence to support the use of music for the treatment of cognitive function quality of life.
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Metadaten
Titel
Can music-based movement therapy improve motor dysfunction in patients with Parkinson’s disease? Systematic review and meta-analysis
verfasst von
Shuai Zhang
Dong Liu
Dan Ye
Haiyu Li
Feng Chen
Publikationsdatum
01.09.2017
Verlag
Springer Milan
Erschienen in
Neurological Sciences / Ausgabe 9/2017
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-017-3020-8

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