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一种调整长期临床试验中其他活性治疗药物使用率的疗效估计的新方法。

A novel method to adjust efficacy estimates for uptake of other active treatments in long-term clinical trials.

机构信息

National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, Australia.

出版信息

PLoS One. 2010 Jan 8;5(1):e8580. doi: 10.1371/journal.pone.0008580.

Abstract

BACKGROUND

When rates of uptake of other drugs differ between treatment arms in long-term trials, the true benefit or harm of the treatment may be underestimated. Methods to allow for such contamination have often been limited by failing to preserve the randomization comparisons. In the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study, patients were randomized to fenofibrate or placebo, but during the trial many started additional drugs, particularly statins, more so in the placebo group. The effects of fenofibrate estimated by intention-to-treat were likely to have been attenuated. We aimed to quantify this effect and to develop a method for use in other long-term trials.

METHODOLOGY/PRINCIPAL FINDINGS: We applied efficacies of statins and other cardiovascular drugs from meta-analyses of randomized trials to adjust the effect of fenofibrate in a penalized Cox model. We assumed that future cardiovascular disease events were reduced by an average of 24% by statins, and 20% by a first other major cardiovascular drug. We applied these estimates to each patient who took these drugs for the period they were on them. We also adjusted the analysis by the rate of discontinuing fenofibrate. Among 4,900 placebo patients, average statin use was 16% over five years. Among 4,895 assigned fenofibrate, statin use was 8% and nonuse of fenofibrate was 10%. In placebo patients, use of cardiovascular drugs was 1% to 3% higher. Before adjustment, fenofibrate was associated with an 11% reduction in coronary events (coronary heart disease death or myocardial infarction) (P = 0.16) and an 11% reduction in cardiovascular disease events (P = 0.04). After adjustment, the effects of fenofibrate on coronary events and cardiovascular disease events were 16% (P = 0.06) and 15% (P = 0.008), respectively.

CONCLUSIONS/SIGNIFICANCE: This novel application of a penalized Cox model for adjustment of a trial estimate of treatment efficacy incorporates evidence-based estimates for other therapies, preserves comparisons between the randomized groups, and is applicable to other long-term trials. In the FIELD study example, the effects of fenofibrate on the risks of coronary heart disease and cardiovascular disease events were underestimated by up to one-third in the original analysis.

TRIAL REGISTRATION

Controlled-Trials.com ISRCTN64783481.

摘要

背景

当长期试验中治疗组之间其他药物的使用率存在差异时,治疗的真正益处或危害可能会被低估。为了允许这种混杂,通常会因未能保留随机化比较而受到限制。在非诺贝特干预和糖尿病事件降低(FIELD)研究中,患者被随机分配到非诺贝特或安慰剂组,但在试验过程中,许多人开始使用其他药物,尤其是他汀类药物,安慰剂组更多。意向治疗估计的非诺贝特的效果可能已经减弱。我们旨在量化这种效果,并开发一种用于其他长期试验的方法。

方法/主要发现:我们应用随机试验荟萃分析的他汀类药物和其他心血管药物的疗效,通过惩罚性 Cox 模型调整非诺贝特的作用。我们假设他汀类药物平均可降低 24%的未来心血管疾病事件,而第一类其他主要心血管药物可降低 20%。我们将这些估计值应用于每位服用这些药物的患者,这些药物的使用时间为他们使用药物的时间。我们还通过停止使用非诺贝特的比率来调整分析。在 4900 名安慰剂患者中,五年内平均他汀类药物使用率为 16%。在 4895 名分配到非诺贝特的患者中,他汀类药物使用率为 8%,非诺贝特使用率为 10%。在安慰剂患者中,心血管药物的使用率高出 1%至 3%。在调整之前,非诺贝特与冠心病事件(冠心病死亡或心肌梗死)减少 11%相关(P = 0.16),与心血管疾病事件减少 11%相关(P = 0.04)。调整后,非诺贝特对冠心病事件和心血管疾病事件的影响分别为 16%(P = 0.06)和 15%(P = 0.008)。

结论/意义:这种用于调整试验治疗效果估计的惩罚性 Cox 模型的新应用结合了其他治疗方法的基于证据的估计值,保留了随机分组之间的比较,并且适用于其他长期试验。在 FIELD 研究示例中,原始分析中对非诺贝特降低冠心病和心血管疾病事件风险的效果估计值低估了多达三分之一。

试验注册

Controlled-Trials.com ISRCTN64783481。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b94d/2798963/4ac79511e184/pone.0008580.g001.jpg

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