Data Science Institute, Hasselt University, Hasselt, Belgium.
reference centre for rare epilepsies Université Paris cité, Assistance Publique-Hôpitaux de Paris, Hôpital Necker-Enfants Malades, Institut Imagine, Paris, France.
Orphanet J Rare Dis. 2023 Sep 1;18(1):262. doi: 10.1186/s13023-023-02819-x.
When assessing the efficacy of a treatment in any clinical trial, it is recommended by the International Conference on Harmonisation to select a single meaningful endpoint. However, a single endpoint is often not sufficient to reflect the full clinical benefit of a treatment in multifaceted diseases, which is often the case in rare diseases. Therefore, the use of a combination of several clinically meaningful outcomes is preferred. Many methodologies that allow for combining outcomes in a so-called composite endpoint are however limited in a number of ways, not in the least in the number and type of outcomes that can be combined and in the poor small-sample properties. Moreover, patient reported outcomes, such as quality of life, often cannot be integrated in a composite analysis, in spite of their intrinsic value.
Recently, a class of non-parametric generalized pairwise comparisons tests have been proposed, which members do allow for any number and type of outcomes, including patient reported outcomes. The class enjoys good small-sample properties. Moreover, this very flexible class of methods allows for prioritizing the outcomes by clinical severity, allows for matched designs and for adding a threshold of clinical relevance. Our aim is to introduce the generalized pairwise comparison ideas and concepts for rare disease clinical trial analysis, and demonstrate their benefit in a post-hoc analysis of a small-sample trial in epidermolysis bullosa. More precisely, we will include a patient relevant outcome (Quality of life), in a composite endpoint. This publication is part of the European Joint Programme on Rare Diseases (EJP RD) series on innovative methodologies for rare diseases clinical trials, which is based on the webinars presented within the educational activity of EJP RD. This publication covers the webinar topic on composite endpoints in rare diseases and includes participants' response to a questionnaire on this topic.
Generalized pairwise comparisons is a promising statistical methodology for evaluating any type of composite endpoints in rare disease trials and may allow a better evaluation of therapy efficacy including patients reported outcomes in addition to outcomes related to the diseases signs and symptoms.
在任何临床试验中评估治疗效果时,国际协调会议建议选择单一有意义的终点。然而,在多方面疾病中,单一终点通常不足以反映治疗的全部临床获益,这种情况在罕见病中经常出现。因此,优先使用几种有临床意义的结果的组合。然而,许多允许在所谓的复合终点中组合结果的方法在很多方面都受到限制,不仅在可以组合的结果的数量和类型上受到限制,而且在小样本的性质上也受到限制。此外,患者报告的结果(例如生活质量)通常不能在复合分析中得到整合,尽管它们具有内在价值。
最近,提出了一类非参数广义成对比较检验,其成员允许任何数量和类型的结果,包括患者报告的结果。该类方法具有良好的小样本性质。此外,这种非常灵活的方法类允许根据临床严重程度对结果进行优先级排序,允许匹配设计,并添加临床相关性阈值。我们的目的是介绍广义成对比较的思想和概念,用于罕见病临床试验分析,并在大疱性表皮松解症的小样本试验的事后分析中展示其优势。更确切地说,我们将包括一个与患者相关的结果(生活质量),作为复合终点的一部分。本出版物是欧洲罕见病联合计划(EJP RD)系列关于罕见病临床试验创新方法的一部分,该系列基于 EJP RD 教育活动中呈现的网络研讨会。本出版物涵盖了关于罕见病中复合终点的网络研讨会主题,并包括参与者对此主题的问卷调查的回复。
广义成对比较是一种很有前途的统计学方法,可用于评估罕见病试验中任何类型的复合终点,并且可以更好地评估治疗效果,包括患者报告的结果以及与疾病体征和症状相关的结果。