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最佳(但常被遗忘)的做法:营养文献中的意向性分析、治疗依从性和缺失参与者结局数据。

Best (but oft-forgotten) practices: intention-to-treat, treatment adherence, and missing participant outcome data in the nutrition literature.

作者信息

Johnston Bradley C, Guyatt Gordon H

机构信息

Prevention Lab and

Systematic Overviews through Advancing Research Technology, Child Health Evaluative Sciences, The Hospital for Sick Children Toronto, Ontario, Canada.

出版信息

Am J Clin Nutr. 2016 Nov;104(5):1197-1201. doi: 10.3945/ajcn.115.123315. Epub 2016 Oct 12.

Abstract

Among clinical trials of adequate size, randomization balances both known and unknown prognostic factors between trial arms, thus allowing an unbiased comparison of intervention and control. To preserve this benefit, all randomly assigned participants should be followed to study termination and analyzed in the arm to which they were allocated. There are 2 potential limitations in study implementation: 1) patients are nonadherent and continue with follow-up visits, or 2) patients are lost to follow-up and their outcome data are missing. Herein, we address these issues with an emphasis on binary outcomes, and discuss how authors of randomized trials should address issues of both noncompliance and missing data.

摘要

在足够规模的临床试验中,随机分组可平衡试验组间已知和未知的预后因素,从而能够对干预措施与对照进行无偏倚比较。为保持这一优势,所有随机分配的参与者都应随访至研究结束,并按照其被分配的组进行分析。在研究实施过程中有两个潜在限制:1)患者不依从且继续接受随访,或2)患者失访且其结局数据缺失。在此,我们重点针对二元结局来探讨这些问题,并讨论随机试验的作者应如何处理不依从和数据缺失问题。

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