Comparative efficacy and safety of traditional Chinese patent medicine for the treatment of type 2 diabetes mellitus: A Bayesian network meta-analysis protocol

Medicine (Baltimore). 2020 Oct 2;99(40):e22564. doi: 10.1097/MD.0000000000022564.

Abstract

Background: At present, the prevalence of type 2 diabetes mellitus (T2DM) has become a major public health issue throughout the world, especially in developing countries. Notably, traditional Chinese patent medicines (TCPMs) are of great significance in the treatment of T2DM combined with conventional Western medicine therapy. However, there is a lack of comparison among all the current common TCPMs for treating T2DM. Therefore, this study intends to explore the efficacy and safety of different TCPMs against T2DM through the Bayesian network meta-analysis (NMA).

Methods: We will conduct a comprehensive and systematic search for randomized controlled trials (RCTs) of TCPM for the treatment of T2DM in both Chinese and English databases published till August 2020. Two researchers will be responsible for screening eligible literature, extracting data, and assessing the risk of bias of included studies independently. Then, pairwise meta-analyses and Bayesian network meta-analyses will be conducted to assess all available evidence. In the end, data will be analyzed using STATA15.0 and WinBUGS1.4.3 software.

Conclusion: This study will compare the efficacy and safety of different TCPMs against T2DM in detail. Our findings will provide a reliable evidence for selecting clinical treatment program and guideline development of T2DM.

MeSH terms

  • Bayes Theorem
  • Diabetes Mellitus, Type 2* / epidemiology
  • Diabetes Mellitus, Type 2* / therapy
  • Female
  • Humans
  • Male
  • Medicine, Chinese Traditional* / methods
  • Meta-Analysis as Topic
  • Network Meta-Analysis
  • Nonprescription Drugs* / adverse effects
  • Nonprescription Drugs* / therapeutic use
  • Prevalence
  • Randomized Controlled Trials as Topic
  • Safety
  • Treatment Outcome

Substances

  • Nonprescription Drugs