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- Ning Liang, Huizhen Li, Jingya Wang, Liwen Jiao, Yanfang Ma, Xiaohui Wang, Bin Liu, Xufei Luo, Siya Zhao, Meng Lv, Jin Cao, Wenpin Hu, Hairong Zhang, Yibai Xiong, Yaxin Tian, Yaolong Chen, Yanping Wang, and Nannan Shi.
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, P. R. China.
- Am. J. Chin. Med. 2020 Jan 1; 48 (7): 1511-1521.
AbstractThe worldwide spread of the 2019 novel coronavirus has become a profound threat to human health. As the use of medication without established effectiveness may result in adverse health consequences, the development of evidence-based guidelines is of critical importance for the clinical management of coronavirus disease (COVID-19). This research presents methods used to develop rapid advice guidelines on treating COVID-19 with traditional Chinese medicine (TCM). We have followed the basic approach for developing WHO rapid guidelines, including preparing, developing, disseminating and updating each process. Compared with general guidelines, this rapid advice guideline is unique in formulating the body of evidence, as the available evidence for the treatment of COVID-19 with TCM is from either indirect or observational studies, clinical first-hand data together with expert experience in patients with COVID-19. Therefore, our search of evidence not only focuses on clinical studies of treating COVID-19 with TCM but also of similar diseases, such as pneumonia and influenza. Grading of recommendations assessment, development and evaluation (GRADE) methodology was adopted to rate the quality of evidence and distinguish the strength of recommendations. The overall certainty of the evidence is graded as either high, moderate, low or very low, and to give either "strong" or "weak" recommendations of each TCM therapy. The output of this paper will produce the guideline on TCM for COVID-19 and will also provide some ideas for evidence collection and synthesis in the future development of rapid guidelines for COVID-19 in TCM as well as other areas.
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