没有先验假设的药监测研究:系统审查突出了不适当的多重测试校正程序
Louis Gaucher1, Pierre Sabatier2, Sandrine Katsahian3
1HeKA INSERM, INRIA Paris, Centre de Recherche des Cordeliers Paris, Université Paris Cité, Paris, France.
Journal of clinical epidemiology
|September 1, 2023
概括
这次对药监测研究的审查发现统计方法有限,并且在多次测试纠正方面没有共识. 建议制定指导方针,以提高这些重要的药物安全性分析的严格性.
科学领域:
- 药物监督 药物监督 药物监督
- 生物统计学 生物统计学
- 药品安全 药品安全
背景情况:
- 对缺乏先验假设的药监测研究中的统计方法的系统审查.
- 分析了2012年至2021年间发表的研究.
研究的目的:
- 系统地审查在药监监测研究中使用的统计方法,而不是从预定义的假设开始.
- 确定在药物安全这一特定领域应用统计技术的趋势和差距.
主要方法:
- 对2012年至2021年间发表的研究进行了系统的文献审查,这些研究被索引在MEDLINE.
- 包括的研究被分析为数据库类型,统计方法,药物类别 (解剖治疗化学品分类) 和不良药物反应分类 (MedDRA的系统器官类别).
主要成果:
- 包括92项研究,主要使用药监数据库.
- 不成比例分析 (频率分析或贝叶斯分析) 是最常用的统计方法.
- 抗感染药物,神经系统药物和抗新生素/免疫调节剂是研究最多的药物类别.
- 值得注意的是,没有标准化的多重测试校正程序.
结论:
- 在无假设的药物监测研究中,使用有限的统计方法.
- 观察到缺乏共识方法和对多重测试校正的关注不足.
- 建议制定指导方针,以提高研究性能和可靠性.
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