Suppr超能文献

药物不良反应的因果关系评估——II. 验证药物因果关系评估方法的原始模型:激发试验阳性的病例报告

Causality assessment of adverse reactions to drugs--II. An original model for validation of drug causality assessment methods: case reports with positive rechallenge.

作者信息

Benichou C, Danan G, Flahault A

机构信息

International Drug Safety Department, Roussel UCLAF, Paris, France.

出版信息

J Clin Epidemiol. 1993 Nov;46(11):1331-6. doi: 10.1016/0895-4356(93)90102-7.

Abstract

Standards are lacking for validation of drug causality assessment methods. An original model is proposed using a positive rechallenge as an external standard. This model was used to validate the novel causality assessment method (RUCAM) described in the previous article (Part I; J Clin Epidemiol 1993; 46: 1323). Seventy seven reports of drug-induced acute liver injuries with positive rechallenge were collected from the medical literature and divided into 49 cases and 28 controls. The RUCAM was applied to information obtained prior to readministration. The score was significantly higher (p < 10(-4)) in cases than in controls with high levels of sensitivity, specificity and predictive values. It is concluded that (1) adverse drug reaction reports with a positive rechallenge can provide a standard for validation of causality assessment methods, (2) RUCAM applied to drug-induced liver injuries has been validated.

摘要

药物因果关系评估方法的验证缺乏标准。提出了一种以阳性再激发作为外部标准的原创模型。该模型用于验证上一篇文章(第一部分;《临床流行病学杂志》1993年;46:1323)中描述的新型因果关系评估方法(RUCAM)。从医学文献中收集了77例有阳性再激发的药物性急性肝损伤报告,并分为49例病例和28例对照。将RUCAM应用于再次给药前获得的信息。病例组的得分显著高于对照组(p < 10(-4)),具有高水平的敏感性、特异性和预测值。结论是:(1)有阳性再激发的药物不良反应报告可为因果关系评估方法的验证提供标准,(2)应用于药物性肝损伤的RUCAM已得到验证。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验