Journal Article

Methodological Considerations for Comparison of Brand Versus Generic Versus Authorized Generic Adverse Event Reports in the US Food and Drug Administration Adverse Event Reporting System (FAERS)

Rahman, Md. Motiur, Alatawi, Yasser, Cheng, Ning, Peissig, Peggy L., Berg, Richard L., Page, David C., Qian, Jingjing, Hansen, Richard A.

2017

Overview

Background The US Food and Drug Administration Adverse Event Reporting System (FAERS), a post-marketing safety database, can be used to differentiate brand versus generic safety signals. Objective To explore the methods for identifying and analyzing brand versus generic adverse event (AE) reports. Methods Public release FAERS data from January 2004 to March 2015 were analyzed using alendronate and carbamazepine as examples. Reports were classified as brand, generic, and authorized generic (AG). Disproportionality analyses compared reporting odds ratios (RORs) of selected known labeled serious adverse events stratifying by brand, generic, and AG. The homogeneity of these RORs was compared using the Breslow-Day test. The AG versus generic was the primary focus since the AG is identical to brand but marketed as a generic, therefore minimizing generic perception bias. Sensitivity analyses explored how methodological approach influenced results. Results Based on 17,521 US event reports involving alendronate and 3733 US event reports involving carbamazepine (immediate and extended release), no consistently significant differences were observed across RORs for the AGs versus generics. Similar results were obtained when comparing reporting patterns over all time and just after generic entry. The most restrictive approach for classifying AE reports yielded smaller report counts but similar results. Conclusion Differentiation of FAERS reports as brand versus generic requires careful attention to risk of product misclassification, but the relative stability of findings across varying assumptions supports the utility of these approaches for potential signal detection.

• Publisher: Springer International Publishing,Springer Nature B.V
• Subject: Adverse Drug Reaction Reporting Systems / Bias / Brand names / Data mining / Databases, Factual / Dictionaries / Drug-Related Side Effects and Adverse Reactions - epidemiology / Drugs, Generic - adverse effects / FDA approval / Food / Generic drugs / Humans / Internal Medicine / Marketing / Medicine & Public Health / Odds Ratio / Original Research Article / Patients / Perceptions / Pharmaceutical industry / Pharmacology/Toxicology / Pharmacotherapy / Retrospective Studies / Studies / Surveillance / United States / United States Food and Drug Administration