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Departing Thoughts from IJTMB's Practice & Education Section Editor: Critical Inquiry, Dichotomy vs. Continuum, and Improving TMB Discourse.《国际传统医学与补充医学杂志》实践与教育板块编辑的临别感言:批判性探究、二分法与连续体,以及改进肿瘤突变负荷的论述
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Differences between the real and the desired worlds in the results of clinical trials.临床试验结果中现实世界与期望世界的差异。
Clinics (Sao Paulo). 2015 Sep;70(9):618-22. doi: 10.6061/clinics/2015(09)04.
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Reducing the confusion and controversies around pragmatic trials: using the Cardiovascular Health Awareness Program (CHAP) trial as an illustrative example.减少围绕实用性试验的困惑与争议:以心血管健康意识项目(CHAP)试验为例进行说明。
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本文引用的文献

1
A pragmatic resolution.一个务实的解决方案。
J Clin Epidemiol. 2009 May;62(5):495-8. doi: 10.1016/j.jclinepi.2008.08.014.
2
The practicalists' response.实用主义者的回应。
J Clin Epidemiol. 2009 May;62(5):489-94. doi: 10.1016/j.jclinepi.2008.08.013.
3
Why we will remain pragmatists: four problems with the impractical mechanistic framework and a better solution.为何我们仍将是实用主义者:不切实际的机械论框架存在的四个问题及更好的解决办法。
J Clin Epidemiol. 2009 May;62(5):485-8. doi: 10.1016/j.jclinepi.2008.08.015.
4
Explaining pragmatic trials to pragmatic policymakers.向注重实效的政策制定者解释实用性试验
J Clin Epidemiol. 2009 May;62(5):476-8. doi: 10.1016/j.jclinepi.2008.06.021.
5
A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers.实用-解释性连续统指标总结(PRECIS):一种帮助试验设计者的工具。
J Clin Epidemiol. 2009 May;62(5):464-75. doi: 10.1016/j.jclinepi.2008.12.011.
6
What kind of randomized trials do we need?我们需要什么样的随机试验?
J Clin Epidemiol. 2009 May;62(5):461-3. doi: 10.1016/j.jclinepi.2009.01.011.
7
A new 'mechanistic-practical" framework for designing and interpreting randomized trials.一种用于设计和解释随机试验的新“机制-实践”框架。
J Clin Epidemiol. 2009 May;62(5):479-84. doi: 10.1016/j.jclinepi.2008.02.009. Epub 2008 May 12.
8
Explanatory and pragmatic attitudes in therapeutical trials.治疗试验中的解释性和实用性态度。
J Chronic Dis. 1967 Aug;20(8):637-48. doi: 10.1016/0021-9681(67)90041-0.

实用-解释连续体指标摘要(PRECIS)工具可用于改进随机试验设计:来自研究小组的经验。

The Pragmatic-Explanatory Continuum Indicator Summary (PRECIS) instrument was useful for refining a randomized trial design: experiences from an investigative team.

机构信息

Departments of Physical Therapy and Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, USA.

出版信息

J Clin Epidemiol. 2010 Nov;63(11):1271-5. doi: 10.1016/j.jclinepi.2010.03.006. Epub 2010 Jun 17.

DOI:10.1016/j.jclinepi.2010.03.006
PMID:20670911
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2943562/
Abstract

OBJECTIVE

A recently published instrument (PRECIS) was designed to assist investigative teams in understanding the various design decisions that need to be made regarding pragmatic vs. explanatory trials. Our team used this instrument during an investigators' meeting to organize our discussion regarding the design of a planned trial and to determine the extent of consensus among the study investigators.

STUDY DESIGN AND SETTING

The study was descriptive in nature and occurred during an investigator meeting. After reading and reviewing the 10 PRECIS criteria, the team made quantitative judgments of the planned study regarding each PRECIS criteria to reflect initial, ideal, and final study design perceptions.

RESULTS

Data indicated that the final study design was more explanatory in nature than the preliminary plan. Evidence of consensus was obtained.

CONCLUSION

The investigative team found that applying PRECIS principles were useful for (1) detailing points of discussion related to trial design, (2) making revisions to the design to be consistent with the project goals, and (3) achieving consensus. We believe our experiences with PRECIS may prove valuable for trial researchers in much the same way that case reports can provide valuable insights for clinicians.

摘要

目的

最近发布的一种工具(PRECIS)旨在帮助研究团队理解在实用主义和解释性试验之间需要做出的各种设计决策。我们的团队在一次研究者会议上使用了这个工具,以组织我们对计划试验设计的讨论,并确定研究参与者之间的共识程度。

研究设计和环境

该研究本质上是描述性的,发生在一次研究者会议期间。在阅读和审查了 10 个 PRECIS 标准后,团队对计划研究的每个 PRECIS 标准进行了定量判断,以反映初始、理想和最终研究设计的看法。

结果

数据表明,最终的研究设计比初步计划更具解释性。达成了共识的证据。

结论

研究团队发现,应用 PRECIS 原则有助于:(1)详细说明与试验设计相关的讨论要点,(2)对设计进行修订以符合项目目标,(3)达成共识。我们相信,我们在 PRECIS 方面的经验可能对试验研究人员非常有价值,就像病例报告可以为临床医生提供有价值的见解一样。