Crisafulli Salvatore, Khan Zakir, Karatas Yusuf, Tuccori Marco, Trifirò Gianluca
Department of Medicine, University of Verona, Verona, Italy.
Faculty of Medicines, Department of Medical Pharmacology Çukurova University, Sarıçam, Adana, Türkiye.
Expert Opin Drug Saf. 2023 Jan-Jun;22(5):373-380. doi: 10.1080/14740338.2023.2219892. Epub 2023 May 29.
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.
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.
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.
药物上市后安全性概况评估是对已批准上市药品的持续监测过程,对于发现新的药物不良反应至关重要。因此,真实世界研究对于用有关药物风险效益概况以及在更广泛患者群体中的使用情况的信息补充上市前证据至关重要,并且在支持上市后药物安全性评估方面具有巨大潜力。
提供了对真实世界数据来源(即索赔数据库、电子健康记录、药物/疾病登记册和自发报告系统数据库)的主要局限性以及真实世界研究在生成真实世界证据方面的主要方法学挑战的详细描述。
真实世界证据偏差可归因于研究采用的方法学方法以及用于开展研究的不同真实世界数据来源的具体局限性。因此,通过建立数据适用性评估的指南和最佳实践来表征真实世界数据的质量至关重要。另一方面,重要的是使用严格的方法学进行真实世界研究,旨在将偏差风险降至最低。