Center for Health Statistics, University of Illinois at Chicago, Chicago, Illinois 60612, USA.
Annu Rev Public Health. 2010;31:419-37. doi: 10.1146/annurev.publhealth.012809.103649.
Following the drug-approval process, concerns remain regarding the safety of new drugs that are introduced into the marketplace. In the case of rare adverse events, the number of subjects that are treated in randomized controlled trials is invariably inadequate to determine the safety of the new pharmaceutical. Identifying safety signals for new and/or existing drugs is a major priority in the protection of public health. Unfortunately, design, analysis, and available data are often quite limited for detecting in a timely fashion any potentially harmful effects of drugs. In this review, we examine a variety of approaches for determining the possibility of adverse drug reactions. Our review includes spontaneous reports, meta-analysis of randomized controlled clinical trials, ecological studies, and analysis of medical claims data. We consider both experimental design and analytic problems as well as potential solutions. Many of these methodologies are then illustrated through application to data on the possible relationship between taking antidepressants and increased risk of suicidality.
在药物审批程序之后,对于新引入市场的药物的安全性仍存在一些担忧。在罕见的不良反应情况下,随机对照临床试验中治疗的受试者数量通常不足以确定新药的安全性。确定新药和/或现有药物的安全信号是保护公众健康的主要重点。不幸的是,设计、分析和可用数据通常对于及时检测药物的任何潜在有害影响非常有限。在这篇综述中,我们研究了各种确定药物不良反应可能性的方法。我们的综述包括自发报告、随机对照临床试验的荟萃分析、生态研究和医疗索赔数据分析。我们考虑了实验设计和分析问题以及潜在的解决方案。然后,通过将这些方法应用于关于服用抗抑郁药与自杀风险增加之间可能存在关系的数据,说明了其中的许多方法。