Paper
6 December 2022 Efficacy of staging-acupuncture therapy on peripheral facial paralysis: a meta-analysis
LinHan Ruan, HongLin Pan, ZhongYu Zhou, Wei Huang, YuanRun Lin
Author Affiliations +
Proceedings Volume 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022); 124581N (2022) https://doi.org/10.1117/12.2660414
Event: International Conference on Biomedical and Intelligent Systems, 2022, Chengdu, China
Abstract
Objective: To systematically evaluate the efficacy of staging-acupuncture therapy on peripheral facial paralysis. Methods: The clinical trials regarding acupuncture therapy for peripheral facial paralysis published before December 31st 2021 were searched in databases of PubMed, The Cochrane Library, Web of Science, CNKI, WanFang, VIP and CBM. The information of included studies was extracted and the quality was assessed by two independent researchers. The Metaanalysis was performed by using RevMan 5.4 software. Results: A total of 8 trials were included, involving 1224 cases. The results of Meta-analysis showed that: The markedly effective rate of staging-acupuncture group was higher than of the non-staging group [RR=1.23, 95%CI(1.15,1.32), Z=6.02, P<0.01]. Conclusion: Based on the current evidence, the efficacy of staging-acupuncture therapy on facial paralysis is superior to non-staging acupuncture therapy. But for the quantity and quality of the included trials are not satisfactory, the conclusion still needs more high-quality, large-size and randomized controlled trials.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
LinHan Ruan, HongLin Pan, ZhongYu Zhou, Wei Huang, and YuanRun Lin "Efficacy of staging-acupuncture therapy on peripheral facial paralysis: a meta-analysis", Proc. SPIE 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022), 124581N (6 December 2022); https://doi.org/10.1117/12.2660414
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KEYWORDS
Nerve

Medicine

Databases

Statistical analysis

Lithium

Clinical trials

Data analysis

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