Abstract
Background
Most drug regulatory agencies and pharmaceutical companies hold databases of spontaneous reports of suspected adverse drug reactions (ADRs). Detection systems for ADR signals have been created by specialists to analyse such reports, based on the concept of disproportionality, in order to support safety decision making. However, these measures are often misinterpreted by non-specialists in pharmacovigilance.
Objectives
Our aim was to assess agreement between estimates of risk from spontaneous reports of suspected ADRs and estimates of risks of ADRs from randomised controlled trials (RCTs).
Methods
From 150 drugs randomly selected from the US Food and Drug Administration’s Adverse Event Reporting System (FAERS), we identified drugs where FAERS provided reporting odds ratios (RORs) and corresponding systematic reviews from the Cochrane database gave (pooled) odds ratios (ORs) for the same drugs and adverse reactions. We assessed agreement between (ln) RORs and (ln) ORs using the Pearson correlation coefficient and the Bland–Altman agreement method, and performed sensitivity analyses.
Results
We identified 6 drugs and 125 ADRs. Overall, there was a weak correlation (r = 0.20) between RORs (FAERS) and ORs (RCTs). However, we observed a stronger correlation (r = 0.78) between RORs and ORs for one drug (roflumilast) that received market approval relatively recently (2011).
Conclusions
Spontaneous reporting of suspected ADRs is an important tool for regulatory agencies and pharmaceutical companies in making decisions and detecting drug safety signals. Although there was moderate-to-strong agreement between ADR risk estimates from drug surveillance and RCTs for one drug, this study illustrates the current recommendations not to use disproportionality measures as valid proxies for risk estimates.
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Acknowledgements
We would like to thank Prof. Stephen Evans for his valuable contribution to this study.
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Funding
No third-party funding was received for the submitted work. AdveraHealth© was contracted by the University of Zurich to provide disproportionality measures on the FAERS database.
Conflict of interest
SC, AS, TY and MAP report no conflicts of interest. RBL has been working as a consultant in Epidemiology for Novartis and Hoffmann-La Roche.
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No ethics approval or informed consent was required for this study.
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Beau-Lejdstrom, R., Crook, S., Spanu, A. et al. Adverse Drug Reaction Risk Measures: A Comparison of Estimates from Drug Surveillance and Randomised Trials. Pharm Med 33, 331–339 (2019). https://doi.org/10.1007/s40290-019-00287-y
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DOI: https://doi.org/10.1007/s40290-019-00287-y