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真实世界试验中的可推广性。

Generalizability in real-world trials.

机构信息

Digital Global Public Health, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.

Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany.

出版信息

Clin Transl Sci. 2024 Jul;17(7):e13886. doi: 10.1111/cts.13886.

Abstract

Real-world evidence (RWE) trials have a key advantage over conventional randomized controlled trials (RCTs) due to their potentially better generalizability. High generalizability of study results facilitates new biological insights and enables targeted therapeutic strategies. Random sampling of RWE trial participants is regarded as the gold standard for generalizability. Additionally, the use of sample correction procedures can increase the generalizability of trial results, even when using nonrandomly sampled real-world data (RWD). This study presents descriptive evidence on the extent to which the design of currently planned or already conducted RWE trials takes sampling into account. It also examines whether random sampling or procedures for correcting nonrandom samples are considered. Based on text mining of publicly available metadata provided during registrations of RWE trials on clinicaltrials.gov, EU-PAS, and the OSF-RWE registry, it is shown that the share of RWE trial registrations with information on sampling increased from 65.27% in 2002 to 97.43% in 2022, with a corresponding increase from 14.79% to 28.30% for trials with random samples. For RWE trials with nonrandom samples, there is an increase from 0.00% to 0.95% of trials in which sample correction procedures are used. We conclude that the potential benefits of RWD in terms of generalizing trial results are not yet being fully realized.

摘要

真实世界证据(RWE)试验相对于传统的随机对照试验(RCT)具有一个关键优势,因为它们具有潜在更好的通用性。研究结果的高度通用性促进了新的生物学见解,并使靶向治疗策略成为可能。RWE 试验参与者的随机抽样被认为是通用性的金标准。此外,即使使用非随机抽样的真实世界数据(RWD),使用样本校正程序也可以提高试验结果的通用性。本研究提供了关于当前计划或已经进行的 RWE 试验在多大程度上考虑了抽样设计的描述性证据。它还检查了是否考虑了随机抽样或校正非随机样本的程序。基于对 clinicaltrials.gov、EU-PAS 和 OSF-RWE 注册表上公开提供的 RWE 试验注册的元数据进行的文本挖掘,结果表明,关于抽样信息的 RWE 试验注册比例从 2002 年的 65.27%增加到 2022 年的 97.43%,随机抽样试验的比例从 14.79%增加到 28.30%。对于具有非随机样本的 RWE 试验,使用样本校正程序的试验比例从 0.00%增加到 0.95%。我们得出结论,RWD 在概括试验结果方面的潜在优势尚未得到充分实现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dba/11267629/949826b3f22e/CTS-17-e13886-g002.jpg

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