Development of a reporting guideline for systematic reviews of animal experiments in the field of traditional Chinese medicine

Autor: Bing Zhao, Kaiyan Hu, Xiantao Zeng, J.S.W Kwong, Bo Li, Hao Chen, Guoxiang Tian, Jun Xiong, Zhaoxia Li, Junqiang Niu, Mingyue Jiao, Jinwei Yang, Fengxing Ding, Chen Liu, Liang Du, Junhua Zhang, Bin Ma
Rok vydání: 2022
Předmět:
Zdroj: Journal of Evidence-Based Medicine. 15:152-167
ISSN: 1756-5391
1756-5383
Popis: In recent years, there are several systematic reviews published on animal experiments of Traditional Chinese medicine (TCM). PRISMA (preferred reporting items for systematic reviews and meta-analysis) guidelines provide a guarantee for significantly improving the reporting quality of systematic reviews (SRs) and meta-analysis (MAs) to a certain extent; however, there are still certain defects found in the quality of SRs/MAs of animal experiments of TCM. It has been found that especially, the descriptions of the rationale and animal characteristics of TCM interventions are inadequate. As a result, we have developed a novel reporting guideline for SRs/MAs of animal experimental in the field of TCM (PRISMA-ATCM) to overcome these problems.PRISMA-ATCM reporting guidelines were formed by analyzing both the status and quality of published SRs/MAs of animal experiments and consulting experts in the related fields, and then by Delphi consultation, consensus meeting and revision.Among the 27 items on the PRISMA checklist, Title (1), Structured summary (2), Rationale (3), Objectives (4), Protocol and registration (5), Eligibility criteria (6), Data items (11), Planned methods of analysis (14), Study characteristics (18), Summary of evidence (24), Limitations (25), and Funding (27) have been extensively revised and expanded, to specifically include the details about TCM intervention and animal characteristics. In addition, illustrative examples and explanations have been provided for each item.PRISMA-ATCM could markedly improve the quality SRs/MAs of animal experiments in the field of TCM.
Databáze: OpenAIRE
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