Electro-acupuncture for post-stroke cognitive impairment: A protocol for systematic review and meta-analysis. Issue 8 (25th February 2022)

• Record Type: Journal Article
• Authors: Xie, Guanli; Tang, Xiaoxia; Luo, Wen; Xu, Yanfei; Li, Deguang; Wang, Zhe; Yuan, Changfei; Xia, Yibo; Zhou, Xiaohan; Tian, Miao; Yuan, Zhifa; Wang, Tao; Liao, Jianglong
• Is Part Of: Medicine. Volume 101:Issue 8(2022)
• Page Start: e28774
• Publication Date: 2022-02-25
• Subjects: cognitive impairment -- electro-acupuncture -- protocol -- post-stroke cognitive impairment -- review -- stroke; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000028774
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract: Background: A considerable number of stroke survivors suffered from cognitive impairment, and more than one third of stroke survivors are affected at 3 and 12 months after the stroke. Although the published systematic reviews suggest that acupuncture can help improve post-stroke cognitive dysfunction, the power of the results is low due to study limitations. Therefore, this review is necessary to analyze the effect of acupuncture on cognitive impairment after stroke and to provide evidence for cognitive impairment in stroke. Methods: This study will be carried out in strict accordance with the Cochrane Handbook for Systematic Reviews of Interventions. According to the pre-established search strategy (PICOS framework), all the literature will be obtained from online databases including Cochrane Central Register of Controlled Trials in the Cochrane Library, Medline (via PubMed), EMBASE (via embase.com), CINAHL (via EBSCOhost), China National Knowledge Infrastructure database, WanFang Database, Chinese Science and Technology Periodical Database, and Sino-Med Database from inception until December 31, 2021 with no language limitations. Two reviewers will screen the records and include quality studies according to inclusion criteria independently. The data needed will be extracted independently by 2 authors according to a table of data extraction. Any inconsistencies in literature screening and data collection will be resolved to reach a consensus via discussion with a third author. Risk of bias for each study will be assessed using risk of bias tool. RevMan5.3 will be used to analyze the data. Heterogeneity will be identified and measured by Chi 2 . Subgroup analyses and sensitivity analysis will be carried out. Grading of Recommendations Assessment, Development and Evaluation will be used to evaluate the evidence for each outcome. Conclusion: The results of this study will provide a theoretical basis for the clinical use of electro-acupuncture to treat cognitive dysfunction after stroke. Unique INPLASY number: INPLASY202210038