Wang Dong, Duan XiaoJie, Zhang Yuhui, Meng Zhen, Wang Jing
Department of Stomatology, Liaocheng People's Hospital.
Medical College of Liaocheng University, Liaocheng, Shandong.
Medicine (Baltimore). 2020 Oct 23;99(43):e22955. doi: 10.1097/MD.0000000000022955.
Traditional 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).
Relevant 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.
The results of this study will be published in a peer-reviewed journal, and provide reliable evidence for different traditional Chinese drugs on OSCC.
The 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.
INPLASY202090082.
在中国，中药常用于治疗恶性肿瘤，但在临床实践中，大多数从业者根据个人经验选择合适的中药。在我们的研究中，将使用贝叶斯网络荟萃分析来确定不同中药治疗口腔鳞状细胞癌（OSCC）的疗效和安全性差异。
从Medline、PubMed、Cochrane图书馆、谷歌学术、医学文摘数据库、科学网、中国知网、中国科学期刊数据库、中国生物医学文献数据库和万方数据库自建立至2020年9月搜索相关随机对照试验和前瞻性对照临床试验。研究筛选和数据提取将由两名研究人员独立进行。使用汇总数据药物信息系统和R软件进行数据合成。还将评估结果的证据等级。
本研究结果将发表在同行评审期刊上，并为不同中药治疗OSCC提供可靠证据。
研究结果将为评估不同中药治疗OSCC的疗效和安全性提供参考，并为临床医生为OSCC患者制定最佳辅助治疗策略提供有益证据。
INPLASY202090082。
