scholarly journals The Effect of Robotic Intervention on Upper Limb Function in Individuals with Stroke: A Meta-Analysis of Randomized Controlled Trials

2018 ◽  
Vol 43 (1) ◽  
pp. 46-53
Author(s):  
Jae-Sung Kwon
2019 ◽  
Author(s):  
Wenyue Zhang ◽  
Shuye Pei ◽  
Juan Huang ◽  
Yao Tang ◽  
Huaidong Hu

Abstract Background: Whether NMES helps the recovery of upper limb function in patients with hemiparesis has not been confirmed. We conducted this meta-analysis to examine the effectiveness of neuromuscular electrical stimulation (NMES) for upper limb hemiparesis after stroke.Methods: Data sources such as Pubmed, Embase and Cochrane library databases were searched for all relevant studies that were carried out before December 1, 2018.We selected the randomized controlled trials (RCTs) which included chronic and acute stroke patients with upper extremity dysfunction. Then the intervention group which applied NMES was compared with a control group without NMES. Results: A total of 16 RCTs involving 691 patients were discerned from 248 searched articles. According to the forest plot ,NMES had a significant benefit on FMA-ue scale(SMD=0.44,95%CI 0.13 to 0.74,P=0.006).Also, NMES was positive for ARAT(SMD=0.31,95%CI 0.05 to 0.58,P=0.019)and MAL-AOU(SMD=0.59,95%CI 0.15 to1.04,P=0.009),but not for wrist MAS(SMD=-0.12,95%CI -0.43 to 0.19,P=0.434) or BI(SMD=0.51,95%CI -0.65 to 1.66,P=0.392).Conclusion: NMES application has beneficial impacts on upper extremity motor function in patients with stroke. This study suggests that NMES ought to be applied as a beneficial rehabilitation means in improving the upper function.


2021 ◽  
Vol 42 (4) ◽  
pp. 75-112
Author(s):  
Mikyung Kim ◽  
Chang-ho Han

Objectives: ncluding stroke. The aim of this study was to systematically review the clinical evidence of CT for stroke.Methods: To identify randomized controlled trials (RCTs) reporting the effectiveness and/or safety of CT, seven databases including PubMed, EMBASE, and Cochrane Library were searched for articles published from January 2000 to February 2021 without language restrictions. Meta-analysis was performed using Review Manager 5.4 software and the results were presented as mean difference (MD) or standard mean difference (SMD) for continuous variables and odds ratio (OR) for diverse variables with 95% confidence intervals (CIs). Assessment of the methodological quality of the eligible trials was conducted using the Cochrane Collaboration tool for risk of bias in RCTs.Results: Twenty-two RCTs with 1653 participants were included in the final analysis. CT provided additional benefit in improving upper limb motor function (Fugl-Meyer assessment for upper limb motor function, MD 6.91, 95% CI 4.64 to 1.67, P<0.00001) and spasticity (response rate, OR 3.28, 95% CI 1.31 to 8.22, P=0.08) in stroke survivors receiving conventional medical treatment. These findings were supported with a moderate level of evidence. CT did not significantly increase the occurrence of adverse events.Conclusions: This study demonstrated the potential of CT to be beneficial in managing a variety of complications in stroke survivors. However, to compensate for the shortcomings of the existing evidence, rigorously designed large-scale RCTs are warranted in the future.


2017 ◽  
Author(s):  
Maria A. Cervera ◽  
Surjo R. Soekadar ◽  
Junichi Ushiba ◽  
José del R. Millán ◽  
Meigen Liu ◽  
...  

ABSTRACTObjectiveBrain-computer interfaces (BCIs) can provide sensory feedback of ongoing brain oscillations enabling stroke survivors to modulate their sensorimotor rhythms purposefully. A number of recent clinical studies indicate that repeated use of such BCIs might trigger neurological recovery and hence improvement in motor function. Here we provide a first meta-analysis evaluating the clinical effectiveness of BCI-based post-stroke motor rehabilitation.MethodsTrials were identified using MEDLINE, CENTRAL, PEDro and by inspection of references in several review articles. We selected randomized controlled trials that used BCIs for post-stroke motor rehabilitation and provided motor impairment scores before and after the intervention. A random-effects inverse variance method was used to calculate the summary effect size.ResultsWe initially identified 524 articles and, after removing duplicates, we screened titles and abstracts of 473 articles. We found 26 articles corresponding to BCI clinical trials, of these, there were nine studies that involved a total of 235 post-stroke survivors fulfilling the inclusion criterion (randomized controlled trials that examined motor performance as an outcome measure) for the meta-analysis. Motor improvements, mostly quantified by the upper limb Fugl-Meyer Assessment (FMA-UE), exceeded the minimal clinical important difference (MCID=5.25) in six BCI studies, while such improvement was reached only in three control groups. Overall, the BCI training was associated with a standardized mean difference (SMD) of 0.79 (95% CI: 0.37 to 1.20) in FMA-UE compared to control conditions, which is in the range of medium to large summary effect size. In addition, several studies indicated BCI-induced functional and structural neuroplasticity at a sub-clinical level.InterpretationWe found a medium to large effect size of BCI therapy compared to controls. This suggests that BCI technology might be an effective intervention for post-stroke upper limb rehabilitation. However, more studies with larger sample size are required to increase the reliability of these results.


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