US Food and Drug Administration, Silver Spring, Maryland, USA.
Clin Pharmacol Ther. 2014 Aug;96(2):149-50. doi: 10.1038/clpt.2014.115.
Internet search logs provide an abundant source of data that can be explored for purposes such as identifying drug exposure-adverse event relationships. The methodology to rigorously conduct such evaluations is not well characterized, and the utility of such analyses is not well defined. In this issue, White and colleagues propose an approach using Internet search logs for this purpose and compare it to parallel analyses conducted using the US Food and Drug Administration's spontaneous reporting database.
互联网搜索日志提供了丰富的数据来源,可用于识别药物暴露与不良事件之间的关系等目的。但这种严格的评估方法尚未得到充分描述,其分析的实用性也尚未明确界定。在本期杂志中,White 及其同事提出了一种使用互联网搜索日志的方法,并将其与使用美国食品和药物管理局自发报告数据库进行的平行分析进行了比较。