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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)

Overview of attention for article published in Clinical Drug Investigation, September 2017
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Title
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)
Published in
Clinical Drug Investigation, September 2017
DOI 10.1007/s40261-017-0574-4
Pubmed ID
Authors

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

Abstract

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. To explore the methods for identifying and analyzing brand versus generic adverse event (AE) reports. 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. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Doctoral Student 3 14%
Student > Postgraduate 2 10%
Student > Master 2 10%
Student > Bachelor 1 5%
Other 3 14%
Unknown 5 24%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 19%
Medicine and Dentistry 4 19%
Business, Management and Accounting 2 10%
Nursing and Health Professions 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 2 10%
Unknown 6 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2018.
All research outputs
#18,584,192
of 23,018,998 outputs
Outputs from Clinical Drug Investigation
#824
of 980 outputs
Outputs of similar age
#244,225
of 318,403 outputs
Outputs of similar age from Clinical Drug Investigation
#11
of 14 outputs
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