SynthesisFrontiers in neurology
Network meta-analysis of different acupuncture methods for post-stroke upper-limb spasticity.
Synthesis in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
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Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Currently, acupuncture therapy is widely used for post-stroke upper-limb spasticity. However, the available evidence remains insufficient to determine the relative effectiveness of different acupuncture protocols. Methods: This study retrieved relevant databases and systematically reviewed randomized controlled trials (RCTs) on acupuncture treatment for post-stroke upper-limb spasticity. A total of 28 trials involving 14 acupuncture treatment protocols were included. A network meta-analysis was performed using Stata 18 software. Results: The results indicated that the Balanced Yin-Yang Acupuncture + Rehabilitation yielded the best outcomes in improving Fugl-Meyer Assessment scores, while Luan's Three-Needle Technique combined with Meridian Sinew Cluster Needling + Rehabilitation was most effective in reducing modified Ashworth scale scores. Discussion: A comparison of efficacy indicators across 14 different acupuncture methods combined with rehabilitation showed that Balanced Yin-Yang Acupuncture + Rehabilitation and Luan's Three-Needle Technique combined with Meridian Sinew Cluster Needling + Rehabilitation were more effective in treating post-stroke upper-limb spasticity. Owing to limitations in the current body of research, these conclusions need to be further verified by more high-quality randomized controlled trials. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO, identifier CRD420251110982.
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