Specific Aspects and Significance of Subgroup Assessment in Confirmatory Clinical Trials

O. Basova, I. V. Lysikova, O. Ivanova
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引用次数: 1

Abstract

Patient subgroup analysis plays an important role in interpretation of confirmatory clinical trial results and is mandatory in most cases. The purpose of subgroup analysis is to assess the consistency (heterogeneity) of the treatment effect in subgroups of patients identified based on such characteristics as demographics, stage and severity of the underlying disease, presence of a certain genetic mutation, etc. However, existing methodological issues (the problem of multiple comparisons, detection of differences between subgroups by chance alone, etc.) make it difficult to carry out the analysis and often lead to controversial conclusions. The aim of the study was to analyse and summarise foreign regulatory approaches to subgroup analysis in confirmatory clinical trials, and to elaborate science-based requirements for subgroup analysis and interpretation of the results by clinical trial sponsors and experts when assessing the risk-benefit ratio of medicinal products for the purpose of their authorisation in Russia and the Eura sian Economic Union. This paper discusses the objectives of subgroup analysis and statistical approaches to its performance, provides relevant examples of such analysis from regulatory practice. It describes approaches to interpretation of subgroup analysis depending on the presence/absence of evidence supporting the primary hypothesis of the study, the nature of the experimental medicinal product’s heterogeneous effects in the subgroups, and selection of the subgroups. The paper highlights areas of concern in subgroup analysis, potential controversies in interpretation of the obtained results, and regulatory expectations. The recommendations presented in the paper can be used by experts in the assessment of the risk-benefit ratio, as well as by medicine developers in the preparation of clinical trial protocols and reports.
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验证性临床试验中亚组评估的具体方面及意义
患者亚组分析在验证性临床试验结果的解释中起着重要作用,在大多数情况下是强制性的。亚组分析的目的是评估根据人口统计学、基础疾病的分期和严重程度、是否存在某种基因突变等特征确定的患者亚组中治疗效果的一致性(异质性)。然而,现有的方法问题(多重比较问题、仅凭偶然发现亚组之间的差异等)使分析难以进行,往往导致有争议的结论。本研究的目的是分析和总结国外验证性临床试验中亚组分析的监管方法,并详细阐述临床试验发起人和专家在评估药品在俄罗斯和欧亚经济联盟批准的风险收益比时对亚组分析和结果解释的科学要求。本文讨论了亚群分析的目标及其绩效的统计方法,并从监管实践中提供了此类分析的相关实例。它描述了解释亚组分析的方法,这取决于是否有证据支持研究的主要假设,实验药品在亚组中的异质性效应的性质,以及亚组的选择。本文强调了亚组分析中关注的领域,解释所获得结果的潜在争议,以及监管期望。论文中提出的建议可被专家用于评估风险-收益比,也可被药物开发人员用于准备临床试验方案和报告。
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