Suppr超能文献

利用可转移性方法生成真实世界证据:当前应用综述。

Use of transportability methods for real-world evidence generation: a review of current applications.

机构信息

Scientific Research & Strategy, Aetion, Inc., New York, NY 10001, USA.

Scientific Research & Strategy, Aetion, Inc., Boston, MA 02109, USA.

出版信息

J Comp Eff Res. 2024 Nov;13(11):e240064. doi: 10.57264/cer-2024-0064. Epub 2024 Oct 4.

Abstract

To evaluate how transportability methods are currently used for real-world evidence (RWE) generation to inform good practices and support adoption and acceptance of these methods in the RWE context. We conducted a targeted literature review to identify studies that transported an effect estimate of the clinical effectiveness or safety of a biomedical exposure to a target real-world population. Records were identified from PubMed-indexed articles published any time before 25 July 2023 (inclusive). Two reviewers screened abstracts/titles and reviewed the full text of candidate studies to identify the final set of articles. Data on the therapeutic area, exposure(s), outcome(s), original and target populations and details of the transportability analysis (e.g., analytic method used, estimate transported, stated assumptions) were abstracted from each article. Of 458 unique records identified, six were retained in the final review. Articles were published during 2021-2023, focused on the US/Canada context, and covered a range of therapeutic areas. Four studies transported an RCT effect estimate, while two transported effect estimates derived from real-world data. Almost all articles used weighting methods to transport estimates. Two studies discussed all transportability assumptions, and one evaluated the likelihood of meeting all assumptions and the impact of potential violations. The use of transportability methods for RWE generation is an emerging and promising area of research to address evidence gaps in settings with limited data and infrastructure. More transparent and rigorous reporting of methods, assumptions and limitations may increase the use and acceptability of transportability for producing robust evidence on treatment effectiveness and safety.

摘要

为了评估目前如何将转移方法用于真实世界证据 (RWE) 的生成,以提供良好实践的指导,并支持在 RWE 背景下采用和接受这些方法。我们进行了一项有针对性的文献综述,以确定将临床有效性或安全性的生物医学暴露的效果估计值转移到目标真实世界人群的研究。记录从在 2023 年 7 月 25 日之前(含)发表的 PubMed 索引文章中识别。两名评审员筛选了摘要/标题,并审查了候选研究的全文,以确定最终的文章集。从每篇文章中提取了有关治疗领域、暴露(s)、结局(s)、原始和目标人群以及转移分析详细信息(例如,使用的分析方法、转移的估计值、陈述的假设)的数据。在 458 条独特记录中,有 6 条保留在最终审查中。文章发表于 2021-2023 年,聚焦于美国/加拿大背景,涵盖了多个治疗领域。四项研究转移了 RCT 效果估计值,而两项研究则转移了来自真实世界数据的效果估计值。几乎所有文章都使用了加权方法来转移估计值。两项研究讨论了所有转移假设,一项研究评估了满足所有假设的可能性以及潜在违反的影响。转移方法用于 RWE 生成是解决数据和基础设施有限的环境中的证据差距的一个新兴且有前途的研究领域。更透明和严格的方法、假设和限制报告可能会增加转移的使用和可接受性,从而为治疗效果和安全性提供可靠的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dceb/11542082/c05c031c8899/cer-13-240064-g1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验