MEDLINE-based assessment of animal studies on Chinese herbal medicine

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• 作者：Noelia Tejedor Garcia^a ; Laura Garcia Bermejo^b ; Ana Belen Fernandez Martinez^a ; Gemma Olmos Centenera^a ; Rajendra Kumari^c ; Qihe Xu^d ; Xiaodong Cheng^e ; Sue Watson^c ; Francisco Javier de Lucio Cazañ ; a^a ; ^{javier.lucio@uah.es}
• 关键词：Traditional Chinese medicine ; Chinese herbal medicine ; Animal models ; Cancer
• 刊名：Journal of Ethnopharmacology
• 出版年：2012
• 期刊代码：26_03788741
• 类别：pha
• 出版时间：10 April, 2012
• 卷：140
• 期：3
• 页码：545-549
• 文件大小：217 K

摘要

Ethno-pharmacological relevance

The scientific proof and clinical validation of Chinese herbal medicine (CHM) require a rigorous approach that includes chemical standardization, biological assays, animal studies and clinical trials.

Aim of the study

To assess the experimental design of animal studies on the activity of CHM by selection and scrutinizing of a series of papers in some major disease areas.

Materials and methods

We have analyzed the English publications reported in MEDLINE (ISI web of knowledge).

Results

Our data showed that (i) research of CHM during the last 10 years had been highly intensified and become more accessible worldwide through increased publications in English, although still most authors had Chinese names; (ii) English journals publishing animal research of CHM were comparable to those publishing animal studies of non-Chinese phytotherapy in terms of impact factor; and (iii) published data on authentication and quality control of CHM, as well as research design of animal studies were far from sufficient to meet the criteria needed to support their reproducibility and reliability.

Conclusions and perspectives

The recent decade witnessed an increase in CHM research activities and CHM English publications. Based on common problems identified in publications on CHM animal studies, we have proposed a checklist that could help in preliminary selection of publications lacking the most common problems and thus would be useful for a quick search of reproducible CHM regimens that are likely to be effective in a given context. The second application of this checklist is to help avoid the most common problems when designing experiments.