Large dosage Huanglian (Rhizoma Coptidis) for T2DM: A protocol of systematic review and meta-analysis of randomized clinical trials

INTRODUCTION: Type 2 diabetes mellitus(T2DM) is a widespread attention of the world's major health problems. The international diabetes federation (IDF) has released the “global overview of diabetes (ninth edition)”. By 2019. It can lead to complications and even death. Among them, the use of Rhizoma Coptidis (Huanglian) at large dose has also been proved to be effective in clinical practice. However, due to the lack of evidence, there is no specific method or suggestion, so it is necessary to carry out systematic evaluation on coptis coptis and provide effective evidence for further research. METHODS AND ANALYSIS: We will search the following electronic databases from their inception to May 2020: Electronic database includes PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure. Primary outcomes:fasting blood glucose and glycosylated haemoglobin (A1c). Secondary outcomes: plasma insulin,blood lipid profile,adverse events,and cost associated with the intervention and hospital visit. Data will be extracted by 2 researchers independently, risk of bias of the meta-analysis will be evaluated based on the Cochrane Handbook for Systematic Reviews of Interventions. All data analysis will be conducted by data statistics software Review Manager V.5.3. and Stata V.12.0. RESULTS: The results of this study will systematically evaluate the effectiveness and safety of large dose of Huanglian intervention for people with T2DM. CONCLUSION: The systematic review of this study will summarize the current published evidence of large dose of Huanglian for the treatment of T2DM, which can further guide the promotion and application of it. ETHICS AND DISSEMINATION: This study is a systematic review, the outcomes are based on the published evidence, so examination and agreement by the ethics committee are not required in this study. We intend to publish the study results in a journal or conference presentations. Open Science Framework(OSF)registration number: July 21, 2020. https://osf.io/w7bj6