Ghorbanpour Sahar, Astkar Mohsen, Rohani Setareh, Ghajarzadeh Mahsa
Department of Physical Medicine and Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran.
Student's Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Maedica (Bucur). 2025 Jun;20(2):334-341. doi: 10.26574/maedica.2025.20.2.334.
Objective: To estimate the pooled effect of robotic rehabilitation on gait in subjects with multiple sclerosis (MS).
We conducted a systematic search in PubMed, Scopus, EMBASE, IEEE and Web of Science databases on October 1 st 2022, without any time or language limitation. Also, we investigated the grey literature, including conference abstract and references of references, to identify potentially relevant articles. The primary outcomes were the six-minute walking test (6MWT) and Timed Up and Go (TUG). The risk of bias in the included studies was evaluated using the Cochrane's risk of bias tool for non-randomized studies (ROBINS-I) and the Cochrane risk-of-bias tool for randomized trials (RoB2). Meta-analyses were performed using a fixed-effects model as the heterogeneity between study results (I2) was less than 50%. The standardized mean difference (SMD) was calculated as the effect size for study outcomes.
Our systematic search retrieved 6878 studies and, after deleting duplicate results, 5019 articles remained. Two researchers screened the titles and abstracts, with 4942 studies remaining for further screening. After full-text assessment, 12 studies were included for meta-analysis, most of which were conducted in the USA and Italy and were published between 2007 and 2022. The mean age of participants in the selected studies ranged between 46-55 years and the mean expanded disability status scale (EDSS) between 5 and 6.5. The SMD of 6MWT (AFTER-BEFORE) was 0.22 (95% CI -0.01-0.45) (I 2 =0%, P=0.90). The SMD of TUG (AFTER-BEFORE) was -0.29 (95% CI -0.56, -0.02) (I 2 =0%, P=0.70).
This systematic review and meta-analysis concluded that robotic rehabilitation was effective for gait rehabilitation in patients with MS.
目的:评估机器人康复对多发性硬化症(MS)患者步态的综合影响。
2022年10月1日,我们在PubMed、Scopus、EMBASE、IEEE和Web of Science数据库中进行了系统检索,没有任何时间或语言限制。此外,我们还调查了灰色文献,包括会议摘要和参考文献的参考文献,以识别潜在相关文章。主要结局指标为六分钟步行试验(6MWT)和起立行走试验(TUG)。使用Cochrane非随机研究偏倚风险工具(ROBINS-I)和Cochrane随机试验偏倚风险工具(RoB2)评估纳入研究的偏倚风险。由于研究结果之间的异质性(I2)小于50%,因此采用固定效应模型进行荟萃分析。计算标准化均数差(SMD)作为研究结局的效应量。
我们的系统检索共获得6878项研究,删除重复结果后,剩余5019篇文章。两名研究人员筛选了标题和摘要,剩余4942项研究进行进一步筛选。经过全文评估,纳入12项研究进行荟萃分析,其中大部分研究在美国和意大利进行,发表时间为2007年至2022年。所选研究中参与者的平均年龄在46 - 55岁之间,平均扩展残疾状态量表(EDSS)在5至6.5之间。6MWT(治疗后 - 治疗前)的SMD为0.22(95%CI -0.01 - 0.45)(I2 = 0%,P = 0.90)。TUG(治疗后 - 治疗前)的SMD为 -0.29(95%CI -0.56, -0.02)(I2 = 0%,P = 0.70)。
本系统评价和荟萃分析得出结论,机器人康复对MS患者的步态康复有效。