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实用且高效的获益与风险评估方法学:SOCRATES 试验的应用。

Methodologies for pragmatic and efficient assessment of benefits and harms: Application to the SOCRATES trial.

机构信息

Biostatistics Center, George Washington University, Washington, DC, USA.

AstraZeneca, Research and Development, Gothenburg, Sweden.

出版信息

Clin Trials. 2020 Dec;17(6):617-626. doi: 10.1177/1740774520941441. Epub 2020 Jul 15.

Abstract

BACKGROUND/AIMS: Standard approaches to trial design and analyses can be inefficient and non-pragmatic. Failure to consider a range of outcomes impedes evidence-based interpretation and reduces power. Traditional approaches synthesizing information obtained from separate analysis of each outcome fail to incorporate associations between outcomes and recognize the cumulative nature of outcomes in individual patients, suffer from competing risk complexities during interpretation, and since efficacy and safety analyses are often conducted on different populations, generalizability is unclear. Pragmatic and efficient approaches to trial design and analyses are needed.

METHODS

Approaches providing a pragmatic assessment of benefits and harms of interventions, summarizing outcomes experienced by patients, and providing sample size efficiencies are described. Ordinal outcomes recognize finer gradations of patient responses. Desirability of outcome ranking is an ordinal outcome combining benefits and harms within patients. Analysis of desirability of outcome ranking can be based on rank-based methodologies including the desirability of outcome ranking probability, the win ratio, and the proportion in favor of treatment. Partial credit analyses, involving grading the levels of the desirability of outcome ranking outcome similar to an academic test, provides an alternative approach. The methodologies are demonstrated using the acute stroke or transient ischemic attack treated with aspirin or ticagrelor and patient outcomes study (SOCRATES; NCT01994720), a randomized clinical trial.

RESULTS

Two 5-level ordinal outcomes were developed for SOCRATES. The first was based on a modified Rankin scale. The odds ratio is 0.86 (95% confidence interval = 0.75, 0.99; = 0.04) indicating that the odds of worse stroke categorization for a trial participant assigned to ticagrelor is 0.86 times that of a trial participant assigned to aspirin. The 5-level desirability of outcome ranking outcome incorporated and prioritized survival; the number of strokes, myocardial infarction, and major bleeding events; and whether a stroke event was disabling. The desirability of outcome ranking probability and win ratio are 0.504 (95% confidence interval = 0.499, 0.508; = 0.10) and 1.11 (95% confidence interval = 0.98, 1.26; = 0.10), respectively, implying that the probability of a more desirable result with ticagrelor is 50.4% and that a more desirable result occurs 1.11 times more frequently on ticagrelor versus aspirin.

CONCLUSION

Ordinal outcomes can improve efficiency through required pre-specification, careful construction, and analyses. Greater pragmatism can be obtained by composing outcomes within patients. Desirability of outcome ranking provides a global assessment of the benefits and harms that more closely reflect the experience of patients. The desirability of outcome ranking probability, the proportion in favor of treatment, the win ratio, and partial credit can more optimally inform patient treatment, enhance the understanding of the totality of intervention effects on patients, and potentially provide efficiencies over standard analyses. The methods provide the infrastructure for incorporating patient values and estimating personalized effects.

摘要

背景/目的:标准的试验设计和分析方法可能效率低下且不切实际。未能考虑一系列结果会阻碍基于证据的解释并降低效能。传统的方法综合了对每个结果分别进行分析所获得的信息,但无法结合结果之间的关联,也无法认识到个体患者结果的累积性质,在解释过程中会受到竞争风险的复杂性的影响,而且由于疗效和安全性分析通常在不同人群中进行,因此其普遍性尚不清楚。需要采用实用且高效的试验设计和分析方法。

方法

本文介绍了一些实用的评估干预措施的获益和危害、总结患者所经历的结果并提供样本量效率的方法。有序结果可识别患者反应的更细微差异。对结果排序的期望是一种在患者内部结合获益和危害的有序结果。结果排序期望的分析可以基于基于排名的方法,包括结果排序期望概率、赢率和治疗优势比。涉及对结果排序期望结果进行分级的部分信用分析(类似于学术测试)提供了一种替代方法。本文使用急性中风或短暂性脑缺血发作患者接受阿司匹林或替格瑞洛治疗和患者结局研究(SOCRATES;NCT01994720)的数据,对这些方法进行了演示,该研究为一项随机临床试验。

结果

为 SOCRATES 开发了两个 5 级有序结果。第一个基于改良的Rankin 量表。比值比为 0.86(95%置信区间=0.75,0.99;=0.04),表明接受替格瑞洛治疗的试验参与者发生更严重中风分类的可能性是接受阿司匹林治疗的试验参与者的 0.86 倍。5 级结果排序期望结果纳入并优先考虑了生存;中风、心肌梗死和大出血事件的数量;以及中风事件是否致残。结果排序期望概率和赢率分别为 0.504(95%置信区间=0.499,0.508;=0.10)和 1.11(95%置信区间=0.98,1.26;=0.10),这意味着使用替格瑞洛的更理想结果的概率为 50.4%,且替格瑞洛与阿司匹林相比更理想的结果发生的频率高 1.11 倍。

结论

有序结果可通过预先指定、精心构建和分析来提高效率。通过在患者内部组合结果可以获得更大的实用性。结果排序期望提供了对获益和危害的全面评估,更能反映患者的体验。结果排序期望概率、治疗优势比、赢率和部分信用可以更优化地为患者治疗提供信息,增强对干预措施对患者整体效果的理解,并可能提供优于标准分析的效率。这些方法为纳入患者价值观和估计个体化效应提供了基础。

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