Contrasting approaches for addressing non-adherence in randomized controlled trials: An illustration from the REFLUX trial

随机对照试验 背景(考古学) 收据 医学 心理学 计算机科学 外科 地理 万维网 考古
作者
Luke Keele,Richard Grieve
出处
期刊:Clinical Trials [SAGE Publishing]
卷期号:19 (1): 97-106 被引量:1
标识
DOI:10.1177/17407745211056881
摘要

In many randomized controlled trials, a substantial proportion of patients do not comply with the treatment protocol to which they have been randomly assigned. Randomized controlled trials are required to report results according to the intention-to-treat estimand, but recent methodological guidance recognizes the importance of estimating other causal quantities.This article outlines an analytical framework for randomized controlled trials with non-compliance. We apply the ICH E9 (R1) addendum and combine it with the potential outcomes framework to define key estimands, outline the major assumptions for identification of each estimand, and highlight the assumptions that cannot be verified from the randomized controlled trial data. We contrast the assumptions and estimates in a re-analysis of the REFLUX trial. We report alternative estimates for the effectiveness of receipt of laparoscopic surgery versus medical management for patients with gastro-intestinal reflux disease.The article finds that adjusted as-treated and per-protocol estimates were similar in magnitude to those based intention-to-treat methods. Instrumental variable estimates of the complier average causal effect were larger, with wider confidence intervals.We recommend that in randomized controlled trials with non-compliance, studies should outline which estimand is most relevant to the study context, evaluate key assumptions, and present estimates from a range of methods as a sensitivity analysis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
A12345678完成签到,获得积分10
2秒前
3秒前
科目三应助Willa采纳,获得10
5秒前
潇洒的小懒虫完成签到,获得积分10
6秒前
jw完成签到,获得积分10
6秒前
李明珠发布了新的文献求助50
6秒前
6秒前
hgh完成签到,获得积分10
7秒前
molihuakai应助krajicek采纳,获得10
9秒前
Jj发布了新的文献求助10
10秒前
面壁思过发布了新的文献求助10
10秒前
共享精神应助玛儿采纳,获得10
10秒前
高贵的宛凝完成签到,获得积分10
10秒前
SciGPT应助孟祥合采纳,获得10
10秒前
GingerF应助秘书处堂采纳,获得100
12秒前
14秒前
kkw发布了新的文献求助10
15秒前
鼻揩了转去应助afterglow采纳,获得20
16秒前
科研通AI6.2应助元力采纳,获得10
16秒前
思源应助lx208946547采纳,获得10
18秒前
小白鸽完成签到,获得积分10
19秒前
nana完成签到,获得积分10
20秒前
20秒前
SCI硬通货发布了新的文献求助10
20秒前
鹅毛大雪完成签到,获得积分10
21秒前
22秒前
jia完成签到 ,获得积分10
22秒前
科研通AI6.1应助小刺猬采纳,获得10
22秒前
23秒前
别斑秃了完成签到 ,获得积分10
23秒前
24秒前
25秒前
xinyi完成签到,获得积分10
25秒前
JYCKLTY完成签到,获得积分10
25秒前
26秒前
面壁思过发布了新的文献求助10
27秒前
27秒前
大本金发布了新的文献求助10
27秒前
迷路的蛟凤完成签到,获得积分10
28秒前
玛儿发布了新的文献求助10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361593
求助须知:如何正确求助?哪些是违规求助? 8175396
关于积分的说明 17222316
捐赠科研通 5416388
什么是DOI,文献DOI怎么找? 2866330
邀请新用户注册赠送积分活动 1843584
关于科研通互助平台的介绍 1691450