Univ Rennes, CHU Rennes, Inserm, CIC 1414 [(Centre d'Investigation Clinique de Rennes)], F-35000, Rennes, France.
Univ Rennes, CHU Rennes, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000, Rennes, France.
BMC Med. 2022 May 20;20(1):177. doi: 10.1186/s12916-022-02377-2.
Transparency and reproducibility are expected to be normative practices in clinical trials used for decision-making on marketing authorisations for new medicines. This registered report introduces a cross-sectional study aiming to assess inferential reproducibility for main trials assessed by the European Medicines Agency.
Two researchers independently identified all studies on new medicines, biosimilars and orphan medicines given approval by the European Commission between January 2017 and December 2019, categorised as 'main studies' in the European Public Assessment Reports (EPARs). Sixty-two of these studies were randomly sampled. One researcher retrieved the individual patient data (IPD) for these studies and prepared a dossier for each study, containing the IPD, the protocol and information on the conduct of the study. A second researcher who had no access to study reports used the dossier to run an independent re-analysis of each trial. All results of these re-analyses were reported in terms of each study's conclusions, p-values, effect sizes and changes from the initial protocol. A team of two researchers not involved in the re-analysis compared results of the re-analyses with published results of the trial.
Two hundred ninety-two main studies in 173 EPARs were identified. Among the 62 studies randomly sampled, we received IPD for 10 trials. The median number of days between data request and data receipt was 253 [interquartile range 182-469]. For these ten trials, we identified 23 distinct primary outcomes for which the conclusions were reproduced in all re-analyses. Therefore, 10/62 trials (16% [95% confidence interval 8% to 28%]) were reproduced, as the 52 studies without available data were considered non-reproducible. There was no change from the original study protocol regarding the primary outcome in any of these ten studies. Spin was observed in the report of one study.
Despite their results supporting decisions that affect millions of people's health across the European Union, most main studies used in EPARs lack transparency and their results are not reproducible for external researchers. Re-analyses of the few trials with available data showed very good inferential reproducibility.
透明度和可重复性有望成为用于决策新药品营销许可的临床试验的规范做法。本注册报告介绍了一项横断面研究,旨在评估欧洲药品管理局评估的主要试验的推断可重复性。
两名研究人员独立识别了 2017 年 1 月至 2019 年 12 月期间欧洲委员会批准的所有新型药物、生物类似药和孤儿药的研究,这些研究在欧洲公共评估报告 (EPAR) 中被归类为“主要研究”。对其中的 62 项研究进行了随机抽样。一名研究人员检索了这些研究的个体患者数据 (IPD),并为每项研究准备了一份档案,其中包含 IPD、方案和研究实施信息。另一名研究人员在不知道研究报告的情况下使用档案对每个试验进行独立的重新分析。所有这些重新分析的结果均以研究的结论、p 值、效应大小以及与初始方案的变化来报告。两名未参与重新分析的研究人员对重新分析的结果与试验的已发表结果进行了比较。
在 173 份 EPAR 中确定了 292 项主要研究。在随机抽样的 62 项研究中,我们收到了 10 项试验的 IPD。从数据请求到数据接收的中位数天数为 253 [四分位距 182-469]。对于这 10 项试验,我们确定了 23 个不同的主要结局,所有重新分析都复制了这些主要结局的结论。因此,10/62 项试验(16%[95%置信区间 8%至 28%])得到了复制,因为没有可用数据的 52 项研究被认为是不可复制的。在这 10 项研究中,没有一项研究的主要结局与原始研究方案有变化。其中一项研究的报告中存在Spin。
尽管这些研究结果支持了影响欧盟数百万人健康的决策,但 EPAR 中使用的大多数主要研究缺乏透明度,外部研究人员无法复制其结果。对少数有可用数据的试验进行重新分析显示出了非常好的推断可重复性。