Zhao HongFei, Zhang Li, Li Liang, Guo Wan Ru, Huang Lan Yi, Wang Zhen
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引用次数: 0
摘要
方法通过检索PubMed、Embase、Cochrane、Web of Science、CINAHL、CBM、中国国家知识基础设施(CNKI)、万方、VIP等数据库,以英语为主要语言,检索了从开始到2023年7月9日的相关RCT。通过运动障碍协会-帕金森病统一评分量表第三部分(MDS-UPDRS-III)的评分变化来衡量运动效果,并使用 STATA 软件 18.0 版进行评估和排序。所有纳入的研究均使用 Cochrane 偏倚风险工具进行了方法学质量评估。结果最终的 NMA 纳入了 71 项研究,涉及 3732 名参与者、87 项干预实验和 27 种不同的干预措施。尽管大多数运动干预显示出一定的疗效(降低 MDS-UPDRS-III 评分),但累积排序概率面(SUCRA)值显示,运动功能改善效果最好的运动干预是射箭(95.6%)、骑自行车(80.9%)和二元韵律舞蹈(80.8%)。
Current interventional model for movement in Parkinson’s disease: network meta-analysis based on the improvement of motor ability
AimTo identify optimally therapeutic exercise interventions for improving motor ability among patients with Parkinson’s disease (PD), we conducted a network meta-analysis (NMA) of randomized controlled trials comparing different exercise regimens.MethodsRelevant RCTs were retrieved by searching PubMed, Embase, Cochrane, Web of Science, CINAHL, CBM, China National Knowledge Infrastructure (CNKI), Wan fang, VIP, and other databases from inception to July 9, 2023 is available in English as the primary language. Exercise outcomes as measured by Movement Disorder Society- Unified Parkinson’s Disease Rating Scale Part III (MDS-UPDRS-III) score change were evaluated and ranked using STATA software version 18.0. All included studies were assessed for methodological quality using the Cochrane Risk of Bias tool.ResultsThe final NMA included 71 studies involving 3,732 participants, 87 intervention experiments, and 27distinct interventions. Although most exercise interventions showed some efficacy (reducing MDS-UPDRS-III score), cumulative ranking probability surface (SUCRA) values indicated that the best exercise interventions for motor function improvement were archery (95.6%), riding a bicycle (80.9%), and binary rhythm dance (80.8%).ConclusionAn exercise intervention comprising archery, cycling, and(or) binary rhythm dance may yield superior improvements in motor function among patients with Parkinson’s disease.
期刊介绍:
Frontiers in Aging Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research that advances our understanding of the mechanisms of Central Nervous System aging and age-related neural diseases. Specialty Chief Editor Thomas Wisniewski at the New York University School of Medicine is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.