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Tongue acupuncture for the treatment of post-stroke dysphagia: a meta-analysis of randomized controlled trials

Post-stroke dysphagia is the most common neurological impairment after stroke. The swallowing process is controlled by a network made up of the cerebral cortex, subcortical area, and brainstem structure. The disruption of the swallowing network after stroke leads to dysphagia. The affected swallowin...

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Published in:Frontiers in neuroscience 2023-05, Vol.17, p.1124064-1124064
Main Authors: Li, Li, Xu, Fei, Yang, Shengping, Kuang, Peng, Ding, Haoying, Huang, Mei, Guo, Chunyan, Yuan, Zishui, Xiao, Xiao, Wang, Zuhong, Zhang, Pengyue
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Language:English
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Summary:Post-stroke dysphagia is the most common neurological impairment after stroke. The swallowing process is controlled by a network made up of the cerebral cortex, subcortical area, and brainstem structure. The disruption of the swallowing network after stroke leads to dysphagia. The affected swallowing muscles after stroke mainly include the laryngeal muscles (suprahyoid muscle and thyrohyoid muscle) and infrahyoid muscle. These muscles experience kinematic effects and muscle strength weakens, resulting in reduced movement in the swallowing process. Acupuncture can change the excitability of cerebral cortical nerve cells, promote the recovery of neurological function, and enhance neuromuscular excitability, ultimately improving the control of swallowing-related nerves and muscles and promoting swallowing functional recovery. In this meta-analysis, we systematically evaluate the clinical efficacy of acupuncture in the treatment of post-stroke dysphagia. Randomized controlled trials of tongue acupuncture therapy for post-stroke dysphagia were searched and selected from seven electronic databases (PubMed, CBM, Cochrane, Embase, CNKI, VPCS, and Wan fang). The Cochrane Collaboration tool was used to conduct methodological quality assessment. Rev. Man 5.4 software was utilized to perform data analysis. A total of 15 studies with 1,094 patients were included. Meta-analysis Showed that WST score WST score (MD = -0.56, 95% CI (-1.23, 0.12), Z = 1.62,  
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2023.1124064