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

Authors

  • Meilan Huang Department of Gastroenterology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China; School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China https://orcid.org/0009-0002-7247-972X
  • Shiman Luo State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China https://orcid.org/0009-0002-5937-283X
  • Jiayue Yang Department of Gastroenterology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China https://orcid.org/0000-0002-6650-2826
  • Huiling Xiong State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China https://orcid.org/0009-0001-3041-9334
  • Xiaohua Lu Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, 55128 Mainz, Germany https://orcid.org/0000-0002-8761-1896
  • Xiao Ma State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China. E-mail: tobymaxiao@cdutcm.edu.cn https://orcid.org/0000-0002-0261-0369
  • Jinhao Zeng Department of Gastroenterology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China. E-mail: zengjinhao@cdutcm.edu.cn https://orcid.org/0000-0002-5860-3790
  • Thomas Efferth Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, 55128 Mainz, Germany. E-mail: efferth@uni-mainz.de https://orcid.org/0000-0002-2637-1681

DOI:

https://doi.org/10.17179/excli2024-7618

Keywords:

chronic atrophic gastritis, Sijunzi-similar formulae, drug integration, 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.

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Published

2024-09-06

How to Cite

Huang, M., Luo, S., Yang, J., Xiong, H., Lu, X., Ma, X., … Efferth, T. (2024). Optimized therapeutic potential of Sijunzi-similar formulae for chronic atrophic gastritis via Bayesian network meta-analysis. EXCLI Journal, 23, 1185–1207. https://doi.org/10.17179/excli2024-7618

Issue

Vol. 23 (2024)

Section

Original articles

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Copyright (c) 2024 Meilan Huang, Shiman Luo, Jiayue Yang, Huiling Xiong, Xiaohua Lu, Xiao Ma, Jinhao Zeng, Thomas Efferth

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