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Effect of non-invasive neuromodulation techniques on vascular cognitive impairment: A Bayesian network meta-analysis
Long Yan1,2, Linna Wu1,2, Hong Li1,2
1First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.
Background:
VCI is a severe public health problem facing the world today. In addition to pharmacological treatment, non-invasive neuromodulation techniques have also been effective. At this stage, non-invasive neuromodulation techniques combined with pharmacological treatment are the mainstay of clinical treatment, and clinical trials are continuing to be conducted, which is becoming the direction of treatment for VCI. Therefore, we outline this systematic review and network meta-analysis protocol to evaluate and rank clinical data in future studies which can develop optimal protocols for the clinical treatment of VCI with non-invasive neuromodulation techniques in combination with drugs.
Methods:
The network meta-analysis will search eight databases, including PubMed, Embase, Cochrane Library, Web of Science, China Knowledge Infrastructure Library (CNKI), China Biology Medicine disc (CBM)), Wanfang Data Knowledge Service Platform and Vipshop Journal Service Platform (VIP), for a period of from the establishment of the library to January 30 2022. The quality of the studies will be evaluated using the Cochrane Review's Handbook 5.1 and the PEDro scale to assess the evidence and quality of the included randomised controlled trials. Risk of bias assessment and heterogeneity tests will be performed using the Review Manager 5.4 program, and Bayesian network meta-analysis will be performed using the Stata 16.0 and WinBUGS 1.4.3 program.
Results:
The results of the network meta-analysis will be published in a peer-reviewed journal.
Conclusions:
Our study is expected to provide high quality evidence-based medical evidence for the treatment of VCI by clinicians.
Trial Registration:
PROSPERO: CRD42022308580.
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