Uses of pharmacovigilance databases: An overview

被引:122
作者
Bihan, Kevin [1 ]
Lebrun-Vignes, Benedicte [1 ]
Funck-Brentano, Christian [2 ,3 ]
Salem, Joe-Elie [2 ,3 ]
机构
[1] Hop La Pitie Salpetriere, Reg Pharmacovigilance Ctr, Dept Pharmacol, 47-83 Blvd Hop, F-75013 Paris, France
[2] Sorbonne Univ, Pitie Salpetriere Hosp, AP HP, INSERM,CIC Pitie Salpetriere CIC 1901,Dept Pharma, F-75013 Paris, France
[3] Clin Invest Ctr, UNICO GRECO Cardiooncol Program, F-75013 Paris, France
来源
THERAPIE | 2020年 / 75卷 / 06期
关键词
Pharmacovigilance; Database; Datamining; Adverse event; Pharmacology; STATISTICAL SIGNAL-DETECTION; REPORTING ODDS RATIO; DISPROPORTIONALITY MEASURES; STEROID-HORMONES; COMPETITION BIAS; SAFETY DATA; STRATEGIES; ACETAMINOPHEN; HISTORY; SYSTEMS;
D O I
10.1016/j.therap.2020.02.022
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Over the past decades, assessment of drug safety and of their benefits harms balance has been profoundly modified by the availability of large databases and computerized automated statistical approaches. Improvement of digital data storage capacity has been applied to pharmacovigilance reports. VigiBase, the international pharmacovigilance database, is now aggregating over 21 million individual case safety reports in 2020. Identification and investigation of drug safety signals - concerning notably rare and unknown adverse drug reactions - is one of the major tasks in pharmacovigilance that can be amplified by automated signal detection. Several quantitative statistical methods exist, each with its own strengths and limits. Integrating signal detection, pharmacovigilance databases can be used for a wide variety of retrospective observational studies illustrated here by concrete examples. Confirming these signals by orthogonal validation using pre-clinical platforms and prospective trials is helpful. Pharmacovigilance databases represent a considerable source of information. However, the quality of signal detection and of pharmacoepidemiology studies in the field of adverse drug reaction closely depends on the quality of the individual data recorded. (C) 2020 Societe francaise de pharmacologie et de therapeutique. Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:591 / 598
页数:8
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