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多发性硬化症患者的地面行走或机器人辅助步态训练:效果是否取决于基线步行速度和疾病相关残疾?一项系统评价和Meta回归分析

Over-ground walking or robot-assisted gait training in people with .multiple sclerosis: does the effect depend on baseline walking speed and disease related disabilities? A systematic review and meta-regression.

作者信息

Sattelmayer Martin, Chevalley Odile, Steuri Ruedi, Hilfiker Roger

机构信息

University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis), School of Health Sciences, Leukerbad, Switzerland.

出版信息

BMC Neurol. 2019 May 8;19(1):93. doi: 10.1186/s12883-019-1321-7.

Abstract

BACKGROUND

It was suggested that robot-assisted gait training (RAGT) should not be routinely provided to disabled patients in place of conventional over-ground walking training (CGT). There exist several randomised controlled trials reporting on RAGT for people with multiple sclerosis. However, the effectiveness of RAGT varies between studies with the effectiveness pointing in different directions. It might be possible that the effectiveness of RAGT and CGT depends on the disease related disabilities of the people included in the clinical studies. We aimed to systematically search RCTs and to perform a meta-regression to compare the effects of robot-assisted gait training in people with less and higher disease related disabilities. The Expanded Disability Status Scale (EDSS) scores were used to classify level of disability.

METHODS

A systematic search was developed to search four electronic databases (MEDLINE, CENTRAL, EMBASE and CINAHL) for eligible articles. A random effects model was applied to meta-analyse the effects of the interventions. Meta-regression was performed with an uni-variable random effects model using baseline walking speed and EDSS to predict the between group effect.

RESULTS

The search on databases resulted in 596 records and finally nine studies were included into the review. The pooled estimates of the effects for performance over short and long distance tests were small and non-significant: -0.08 SMD (95% CI: -0.51 to 0.35) and - 0.24 SMD (95% CI: -0.67 to 0.19). Neither baseline walking speed or disease related disability were related to the mean effect size.

DISCUSSION

Future studies are needed to help clinicians to decide, which intervention should be allocated to the individual patient.

摘要

背景

有人认为,不应常规性地为残疾患者提供机器人辅助步态训练(RAGT)以替代传统的地面行走训练(CGT)。有多项随机对照试验报告了针对多发性硬化症患者的机器人辅助步态训练情况。然而,机器人辅助步态训练的有效性在不同研究中有所不同,其有效性指向不同方向。机器人辅助步态训练和传统地面行走训练的有效性可能取决于临床研究中纳入人群的疾病相关残疾情况。我们旨在系统检索随机对照试验并进行元回归分析,以比较机器人辅助步态训练对疾病相关残疾程度较低和较高人群的效果。采用扩展残疾状态量表(EDSS)评分对残疾程度进行分类。

方法

制定系统检索策略,在四个电子数据库(MEDLINE、CENTRAL、EMBASE和CINAHL)中检索符合条件的文章。应用随机效应模型对干预效果进行元分析。使用单变量随机效应模型进行元回归分析,以基线步行速度和EDSS预测组间效应。

结果

数据库检索得到596条记录,最终9项研究纳入综述。短距离和长距离测试中表现的效应合并估计值较小且无统计学意义:标准化均数差为-0.08(95%可信区间:-0.51至0.35)和-0.24(95%可信区间:-0.67至0.19)。基线步行速度和疾病相关残疾程度均与平均效应大小无关。

讨论

未来需要开展研究,以帮助临床医生决定应为个体患者分配哪种干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22c0/6506946/41bd5d08e4f4/12883_2019_1321_Fig1_HTML.jpg

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