• Medicine · Oct 2020

    Meta Analysis

    Traditional Chinese medicine for oral squamous cell carcinoma: A Bayesian network meta-analysis protocol.

    • Dong Wang, XiaoJie Duan, Yuhui Zhang, Zhen Meng, and Jing Wang.
    • Department of Stomatology, Liaocheng People's Hospital.
    • Medicine (Baltimore). 2020 Oct 23; 99 (43): e22955e22955.

    BackgroundTraditional Chinese medicine is frequently used for malignant tumors in China, but in clinical practice, most practitioners choose appropriate Chinese medicines based on personal experience. In our study, Bayesian network meta-analysis will be used to identify differences in efficacy and safety between diverse traditional Chinese drugs for oral squamous cell carcinoma (OSCC).MethodsRelevant randomized controlled trials and prospective controlled clinical trials were searched from Medline, PubMed, Cochrane Library, Google Scholar, Excerpt Medica Database, Web of Science, China National Knowledge Infrastructure, China Scientific Journal Database, Chinese Biomedical Literature Database, and Wanfang Database from their establishment to September 2020. Study selection and data extraction will be performed independently by 2 researchers. Aggregate Data Drug Information System and R software were used for data synthesis. The evidentiary grade of the results will be also evaluated.ResultsThe results of this study will be published in a peer-reviewed journal, and provide reliable evidence for different traditional Chinese drugs on OSCC.ConclusionsThe findings will provide reference for evaluating the efficacy and safety of different traditional Chinese medicine for OSCC, and provide a helpful evidence for clinicians to formulate the best adjuvant treatment strategy for OSCC patients.Trial Registration NumberINPLASY202090082.

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