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PRECIS-2评分在中国草药随机对照试验中的应用。

The application of PRECIS-2 ratings in randomized controlled trials of Chinese herbal medicine.

作者信息

Lu Liming, Zhou Li, Dong Jing, Xiang Yu, Wen Zehuai

机构信息

The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.

National Center for Design Measurement and Evaluation in Clinical Research, Guangzhou University of Chinese Medicine, Guangzhou, China.

出版信息

Oncotarget. 2017 Oct 31;8(63):107002-107010. doi: 10.18632/oncotarget.22204. eCollection 2017 Dec 5.

Abstract

This study tests the feasibility of applying the pragmatic-explanatory continuum indicator summary (version "PRECIS-2") tool to randomized controlled trials of Chinese herbal medicine. A search was conducted to identify potentially eligible randomized controlled trials. Using the PRECIS-2 tool, assessment of trials was performed independently by 2 evaluators using a scale of 1-5 for each criterion (1 = maximal efficacy, 5 = maximal effectiveness). A total of 7,166 reports were retrieved from databases and 159 were included in the full text. Though PRECIS-2 describes quantitative scoring in detail, evaluators were uncertain about several specific operationalizations and found high evaluator variation in the first independent ratings. After discussion and reaching consensus, inter-evaluator reliability improved. For PRECIS-2 ratings over time, there was no evidence that the design and performance of RCTs of CHM paid more attention to "efficacy" criteria after the implementation of PRECIS (all > 0.05). More research is needed to establish the easiest and most useful tool to distinguish between effectiveness and efficacy results.

摘要

本研究检验了将实用-解释性连续统指标概要(版本“PRECIS-2”)工具应用于中药随机对照试验的可行性。进行检索以识别潜在符合条件的随机对照试验。使用PRECIS-2工具,由2名评估者独立对试验进行评估,每个标准采用1-5分制(1 = 最大疗效,5 = 最大效果)。从数据库中检索到7166篇报告,159篇纳入全文。尽管PRECIS-2详细描述了定量评分,但评估者对几个具体的操作化方法不确定,并且在首次独立评分中发现评估者之间差异很大。经过讨论并达成共识后,评估者间信度有所提高。对于PRECIS-2随时间的评分,没有证据表明在实施PRECIS后,中药随机对照试验的设计和实施更关注“疗效”标准(所有P>0.05)。需要更多研究来建立区分效果和疗效结果的最简单、最有用的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b61c/5739791/7ff45713eab1/oncotarget-08-107002-g001.jpg

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