Related Experiment Video
Updated: Dec 10, 2025
Author Spotlight: Exploring the Potential of Massage Therapy in Cerebral Palsy Using Animal Models
Published on: August 11, 2023
Electroacupuncture with rehabilitation training for limb spasticity reduction in post-stroke patients: A systematic
Jiyao Zhang1, Luwen Zhu2, Qiang Tang2
1Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Objective:
To assess the effectiveness of electroacupuncture (EA) with rehabilitation training in reducing limb spasticity in post-stroke patients.
Methods:
A systematic review was performed by electronically searching six databases (Medline/Pubmed, Embase, Cochrane Library, China National Knowledge Infrastructure, Database for Chinese Technical Periodicals, and Wanfang Data) for randomized controlled trials (RCTs) on EA with rehabilitation training for limb spasticity reduction in post-stroke patients from 1 January 2009 to 1 January 2019. A meta-analysis was performed using SAS 9.3 and RevMan 5.3 software after bibliography screening, data extraction, and risk of bias assessment using the Cochrane handbook. The primary outcome was spasticity.
Results:
A total of 31 RCTs (including 2488 participants) were included. Except for Cai et al.'s study, the quality of other RCTs was not high. All studies performed a descriptive analysis, and 29 RCTs conducted a meta-analysis. The odds ratio (OR) for marked efficiency was 2.35 (95% confidence interval [CI] 1.68-3.27, Z = 5.03, P < .00001). The OR for Modified Ashworth Scale (MAS) classification was 2.42 (95% CI 1.89-3.10, Z = 7.03; P < .00001). The weighted mean difference (WMD) for MAS score was -0.68 (95% CI -0.79 - -0.56, Z = 11.24, P < .00001). The WMD for clinical spasticity index score was -1.50 (95% CI -2.28 - -0.72, Z = 3.79, P = .0002).
Conclusion:
EA with rehabilitation training could be a good strategy for reducing limb spasticity after stroke and is better than EA alone or rehabilitation training alone. However, its effectiveness remains to be further verified by large-sample and high-quality RCTs.
