Optimized therapeutic potential of Sijunzi-similar formulae for chronic atrophic gastritis via Bayesian network meta-analysis.

Abstract

Chronic atrophic gastritis (CAG) is considered as a significant risk factor for triggering gastric cancer incidence, if not effectively treated. Sijunzi decoction (SD) is a well-known classic formula for treating gastric disorders, and Sijunzi-similar formulae (SF) derived from SD have also been highly regarded by Chinese clinical practitioners for their effectiveness in treating chronic atrophic gastritis. Currently, there is a lack of meta-analysis for these formulae, leaving unclear which exhibits optimal efficacy. Therefore, we employed Bayesian network meta-analysis (BNMA) to evaluate the efficacy and safety of SF as an intervention for CAG and to establish a scientific foundation for the clinical utilization of SF. The result of meta-analysis demonstrated that the combination of SF and basic therapy outperformed basic therapy alone in terms of clinical efficacy rate, eradication rate of H. pylori, and incidence of adverse events. As indicated by the SUCRA value, Chaishao Liujunzi decoction (CLD) demonstrated superior efficacy in enhancing clinical effectiveness and ameliorating H. pylori infection, and it also showed remarkable effectiveness in minimizing the occurrence of adverse events. Comprehensive analysis of therapeutic efficacy suggests that CLD is most likely the optimal choice among these six formulations, holding potential value for optimizing clinical treatment strategies. See also the graphical abstract(Fig. 1).