A Real-World Pharmacovigilance Study of FDA Adverse Event Reporting System Events for Avelumab
Lu He, Xinyue Zhang, Yanrong Li, Rongrong Li, Encun Hou

TL;DR
This study analyzed real-world data to identify adverse events linked to the drug avelumab, highlighting key risks like low platelet count and kidney issues.
Contribution
The study provides novel insights into avelumab's adverse effects using FAERS data and advanced statistical methods for signal detection.
Findings
Thrombocytopenia, hypothyroidism, and renal impairment showed strong signals as adverse events associated with avelumab.
General disease and administration site conditions were the most commonly reported adverse event category.
The study identified 22 systematic organ classifications for avelumab-related adverse reactions.
Abstract
Background This study utilized data from the FDA Adverse Event Reporting System (FAERS) to investigate adverse drug events (ADEs) associated with avelumab, spanning from the third quarter of 2015 to the first quarter of 2024. Methodology We collected and normalized avelumab ADE data from Q3 2015 to Q1 2024. To ensure robust signal detection and accurate measurement of association strength, we employed key techniques, including the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayes geometric mean (EBGM). These methods allowed for the comparison of event proportions, consideration of uncertainties, and adjustment for reporting variability, ensuring reliable signal quantification and analysis. Results In our review of 3,978 ADE reports, we classified unique preferred terms (PTs) into 22 systematic…
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Taxonomy
TopicsPharmacovigilance and Adverse Drug Reactions · Drug-Induced Adverse Reactions · Academic integrity and plagiarism
