Acupoint-stimulating therapies have often been used to manage stroke-related spasticity and motor dysfunction. However, the effects of different acupoint-stimulating therapies in older stroke survivors have been unclear. This systematic review and network meta-analysis compared the effects of different acupoint-stimulating therapies in managing spasticity and motor dysfunction in older stroke survivors. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched 7 databases for studies published up to July 2023. Inclusion criteria were: (1) older adults with strokes; (2) treatments were acupoint-stimulating therapies; (3) a control group did not receive acupoint-stimulating therapy, or the study compared different acupoint-stimulating therapies; and (4) outcomes included spasticity and motor function. Methodological quality was assessed with Risk-of-bias tool for randomized trials version 2, while R and Metainsight were used to conduct the network meta-analysis. We analyzed 27 studies and the results showed that non-invasive electroacupuncture and warm acupuncture were more effective in reducing spasticity than conventional acupuncture (standardized mean difference and 95 % confidence intervals = 1.35/1.19 [0.57; 2.13/0.54; 1.83]) and invasive electroacupuncture (standardized mean difference and 95 % confidence intervals = 0.96/0.80 [0.12; 1.80/0.08; 1.51]). Conventional acupuncture and invasive electroacupuncture were effective in improving motor function (standardized mean difference and 95 % confidence intervals = 0.99/1.41 [0.42; 1.56/0.54; 2.28]). However, there was significant inconsistency for the effects of invasive electroacupuncture between studies. Our findings suggest that for older stroke survivors with spasticity, non-invasive electroacupuncture and warm acupuncture are appropriate, whereas conventional acupuncture is more appropriate for patients aiming for motor recovery.
Systematic review registration
This study was registered in the PROSPERO database (CRD42023442202).