Nakamura Mitsuhiro
Drug Informatics, Gifu Pharmaceutical University.
Yakugaku Zasshi. 2016;136(4):549-56. doi: 10.1248/yakushi.15-00224-5.
Observational study is necessary for the evaluation of drug effectiveness in clinical practice. In recent years, the use of spontaneous reporting systems (SRS) for adverse drug reactions has increased and they have become an important resource for regulatory science. SRS, being the largest and most well-known databases worldwide, are one of the primary tools used for postmarketing surveillance and pharmacovigilance. To analyze SRS, the US Food and Drug Administration Adverse Event Reporting System (FAERS) and the Japanese Adverse Drug Event Report Database (JADER) are reviewed. Authorized pharmacovigilance algorithms were used for signal detection, including the reporting odds ratio. An SRS is a passive reporting database and is therefore subject to numerous sources of selection bias, including overreporting, underreporting, and a lack of a denominator. Despite the inherent limitations of spontaneous reporting, SRS databases are a rich resource and data mining index that provide powerful means of identifying potential associations between drugs and their adverse effects. Our results, which are based on the evaluation of SRS databases, provide essential knowledge that could improve our understanding of clinical issues.
观察性研究对于评估临床实践中药物的有效性是必要的。近年来,自发报告系统(SRS)用于药物不良反应报告的情况有所增加,并且它们已成为监管科学的重要资源。SRS作为全球最大且最知名的数据库,是用于上市后监测和药物警戒的主要工具之一。为了分析SRS,对美国食品药品监督管理局不良事件报告系统(FAERS)和日本药品不良事件报告数据库(JADER)进行了综述。使用了经授权的药物警戒算法进行信号检测,包括报告比值比。SRS是一个被动报告数据库,因此容易受到多种选择偏倚来源的影响,包括报告过度、报告不足以及缺乏分母。尽管自发报告存在固有局限性,但SRS数据库是丰富的资源和数据挖掘指标,提供了识别药物与其不良反应之间潜在关联的有力手段。我们基于对SRS数据库评估的结果提供了重要知识,有助于增进我们对临床问题的理解。