2018
DOI: 10.1136/bmj.j5748
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Statistical methods to compare functional outcomes in randomized controlled trials with high mortality

Abstract: Mortality is a common primary endpoint in randomized controlled trials of patients with a high severity of illness, such as critically ill patients. However, researchers are increasingly evaluating functional outcomes, such as quality of life. Importantly, in such trials some patients may die before the assessment of a functional outcome, resulting in the functional outcome being “truncated due to death.” As described in this paper, defining and testing treatment effects on functional outcomes in this setting … Show more

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Cited by 73 publications
(102 citation statements)
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“…Importantly, though, results were similar in the sensitivity analyses conducted after redefining the time periods. Finally, the assessment of secondary outcomes according to time of first CIB event may be subject to survival bias and a competing risk of death before CIB, as the most severely ill patients may be more likely to develop CIB, but also more likely die before that happens. We did not account for this in the descriptive presentations of secondary outcome data.…”
Section: Discussionmentioning
confidence: 99%
“…Importantly, though, results were similar in the sensitivity analyses conducted after redefining the time periods. Finally, the assessment of secondary outcomes according to time of first CIB event may be subject to survival bias and a competing risk of death before CIB, as the most severely ill patients may be more likely to develop CIB, but also more likely die before that happens. We did not account for this in the descriptive presentations of secondary outcome data.…”
Section: Discussionmentioning
confidence: 99%
“…We will present a Kaplan‐Meier curve for the crude data. EQ‐5D‐5L, EQ‐VAS and Mini MoCA scores using a GLM or non‐parametric test stratified for site (rating and calculation are described in the Supplemental File ). We have considered the challenge of handling patients ‘truncated due to death’ when analysing functional outcomes in trials . In consensus, we decided to assume that death is worse than a low HRQoL or low cognitive function score.…”
Section: Methodsmentioning
confidence: 99%
“…262 patients in total, will have 80% power to detect a decrease of PDS-5 in the intervention group as described above compared to the control group using a Wilcoxon–Mann–Whitney rank-sum test with a 0.05 two-sided significance level (software used: nQuery Advisor 7.0). To incorporate the death of patients (resulting in the efficacy outcome being truncated due to death), we apply a non-parametric worst rank score analysis ([ 41 , 42 ], for details see below) and decided to randomize an additional 78 (= 2 × 39) patients [an increase of about 30% (= 39 / 131) derived from a simulation study]. Thus, the sample size to be allocated to the trial is 2 × (131 + 39) = 340 patients in total.…”
Section: Methodsmentioning
confidence: 99%
“…It is assumed that death is the most likely cause of missingness. Therefore, a composite endpoint approach will be applied, combining information about the change in PDS total score and mortality into a single variable [ 41 ].…”
Section: Methodsmentioning
confidence: 99%