• Medicine · Jan 2021

    Complementary and alternative therapies for precancerous lesions of gastric cancer: A protocol for a Bayesian network meta analysis.

    • Tianqi Zhang, Tiefeng Zhang, Chuancheng Li, Xixi Zhai, and Qing Huo.
    • First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine.
    • Medicine (Baltimore). 2021 Jan 15; 100 (2): e24249e24249.

    BackgroundGastric cancer is one of the most common malignant tumors, which seriously affect peoples quality of life and threaten people's health. Precancerous lesions of gastric cancer (PLGC) are a critical stage in the occurrence and development of gastric cancer. Early effective intervention is an important means to prevent and control gastric cancer. In this study, we will evaluate the efficacy and safety of complementary and alternative therapies in the treatment of PLGC by Bayesian network meta-analysis (NMA).MethodsWe will search PubMed, Cochrane Library, CNKI and other databases to gather randomized controlled trials (RCTs) on the treatment of PLGC with complementary and alternative therapies. Two reviewers will screen the literature and extract the data according to the inclusion and exclusion criteria, and then assess the quality and bias risk according to Cochrane's Risk of Bias Assessment Tool. Bayesian network meta-analysis will be conducted by Stata16.0 and WinBUGS1.4.3.ResultsThis study will compare and rank the efficacy and safety of different complementary and alternative therapies for PLGC.ConclusionThis study can provide reliable evidence for the efficacy and safety of complementary and alternative therapies in treatment of PLGC. We expect to provide scientific and rigorous evidence support for clinicians and patients, and then assist them to choose the optimum treatment.Protocol Registration NumberINPLASY2020120077.Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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