Wet cupping with rehabilitation training for upper-limb poststroke spasticity: A systematic review and meta-analysis...

Upper-limb poststroke spasticity (PSS) negatively impacts on patients' quality of life. An increasing number of clinical trials have indicated that wet cupping with rehabilitation training is conductive to alleviate spastic muscle tone, thereby to improve upper-limb function. However, related evidence base is insufficient. This study systematically investigates the efficacy and safety of wet cupping with rehabilitation training on stroke patients with upper-limb spasticity.

Eight separate databases and two clinical trial registries were searched from their inception to December 6, 2022. Two reviewers extracted the data and assessed the quality of the literature, independently. The mean difference (MD) or risk ratio (RR) were used as measure of effect size in meta-analysis. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) was used for the certainty of evidence.

Eight randomized controlled trials (RCTs) were quantified for meta-analysis. The results indicated that in comparison with the control group, wet cupping with rehabilitation training was more effective in reducing modified Ashworth scale score (MD = -0.60, 95% CI: -0.74, -0.46; P < 0.00001) and the integral electromyography value of biceps muscle (MD = -4.71, 95% CI: -6.74, -2.67; P < 0.00001), but improving effective rate (RR = 1.28, 95% CI: 1.15, 1.41; P < 0.00001), Fugl-Myer Assessment score (MD = 4.84, 95% CI: 3.05, 6.64; P < 0.00001) as well as Barthel Index score (MD = 6.38, 95% CI: 2.20, 10.57; P = 0.003). However, no significant difference was found regarding the integral electromyography value of triceps muscle between groups (MD = 1.72, 95% CI: -2.05, 5.48; P = 0.37).

Wet cupping with rehabilitation training should be included in a comprehensive therapeutic regimen for stroke patients with upper-limb spasticity. However, these results need to be further verified by more RCTs with rigorous design and large sample size.