医学
真实世界数据
质量(理念)
风险分析(工程)
药物警戒
药物反应
数据科学
真实世界的证据
营销
药品
计算机科学
业务
药理学
认识论
内科学
哲学
作者
Salvatore Crisafulli,Zakir Khan,Yusuf Karataş,Marco Tuccori,Gianluca Trifirò
标识
DOI:10.1080/14740338.2023.2219892
摘要
Introduction The evaluation of the post-marketing safety profile of drugs is a continuous monitoring process for approved and marketed medicines and it is crucial for detecting new adverse drug reactions. As such, real-world studies are essential to complement pre-marketing evidence with information concerning drug risk-benefit profile and use in wider patient populations and they have a great potential to support post-marketing drug safety evaluations.Areas covered A detailed description of the main limitations of real-world data sources (i.e. claims databases, electronic healthcare records, drug/disease registers and spontaneous reporting system databases) and of the main methodological challenges of real-world studies in generating real-world evidence is provided.Expert opinion Real-world evidence biases can be ascribed to both the methodological approach and the specific limitations of the different real-world data sources used to carry out the study. As such, it is crucial to characterize the quality of real-world data, by establishing guidelines and best practices for the assessment of data fitness for purpose. On the other hand, it is important that real-world studies are conducted using a rigorous methodology, aimed at minimizing the risk of bias.
科研通智能强力驱动
Strongly Powered by AbleSci AI