Efficacy of traditional Chinese medicine for chronic gastritis: A meta-analysis of randomized controlled trials

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Abstract

Background: To systematically evaluate efficacy of traditional Chinese medicine (TCM) in treating chronic gastritis (CG). Methods: Data sources from PubMed, Embase, Springer Link, China National Knowledge Infrastructure, Chinese Scientific Journals Database, Chinese Biomedicine Database, and Wan-fang database were searched up to July 5, 2018. Review Manager software version 5.3, the Cochrane Collaboration's risk of bias tool, and the Grading of Recommendations Assessment, Development, and Evaluation profiler software were conducted for this meta-analysis. Results: Sixteen studies involving 1673 participants (906 vs 767) were included in this study. Pooled data showed significant statistical differences between TCM groups and current routine pharmacotherapy (RP) groups in overall clinical efficacy (odds ratio [OR] 4.65; 95% confidence interval [CI] 3.29, 6.56; P < .00001), efficacy under endoscopy (OR 2.46; 95% CI 1.12, 5.43; P = .03), stomach distension (mean difference [MD] -0.37; 95% CI -0.56, -0.19; P < .0001), stomachache (standardized MD [SMD] -0.80; 95% CI -1.45, -0.14; P = .02), and belching (SMD -2.00; 95% CI -3.80, -0.20; P = .03). However, acid regurgitation (SMD -0.71; 95% CI -1.69, 0.28; P = .16) and anorexia (SMD -0.75; 95% CI -2.30, 0.80; P = .35) showed no significant statistical differences between 2 groups. In addition, incidence of adverse reactions of TCM groups was lower than that of RP groups. Conclusion: Evidence from this meta-analysis suggests that TCM could be more efficacious than current RP in treating CG. But further standardized research of rigorous design should be needed to further validate its efficacy.

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Yan, Z. X., Dai, Y. K., Ma, T., Lin, X. Y., Chen, W. H., Liu, Y. M., … Lin, Z. W. (2019). Efficacy of traditional Chinese medicine for chronic gastritis: A meta-analysis of randomized controlled trials. Medicine (United States), 98(20). https://doi.org/10.1097/MD.0000000000015710

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