Signal mining and analysis of ripretinib adverse events: a real-world pharmacovigilance analysis based on the FAERS database
Ye Hu, Linlin Zhang, Qineng Gong, Lei Huang, Cunlin Yin, Yang Miao, Hui Wu

TL;DR
This study analyzed real-world safety data of ripretinib, a cancer drug, using U.S. FDA reports to identify both known and unexpected side effects.
Contribution
The study provides new insights into ripretinib's safety profile by identifying unexpected adverse events from real-world data.
Findings
Common adverse events included alopecia, constipation, and muscle spasms.
Unexpected adverse events like pleural mass and liver abscess were observed.
Most adverse events occurred within the first month of treatment.
Abstract
Ripretinib is a tyrosine kinase inhibitor indicated for the treatment of adult patients with advanced gastrointestinal stromal tumors (GISTs) who have previously received treatment with at least three kinase inhibitors. The objective of this study was to evaluate adverse events(AEs) associated with ripretinib using data from the FDA Adverse Event Reporting System (FAERS) database. Individual case safety reports (ICSRs) related to of ripretinib from 2020 Q2 to 2024 Q2 were extracted from the FAERS database. This study used the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS) for disproportionality analysis. In addition, this research also performed a descriptive analysis of the time-to-onset (TTO) of AEs related to ripretinib. A total of 3,513 ICSRs with ripretinib as the…
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Taxonomy
TopicsPharmacovigilance and Adverse Drug Reactions · Biosimilars and Bioanalytical Methods · Academic integrity and plagiarism
