Signal mining and analysis of ripretinib adverse events: a real-world pharmacovigilance analysis based on the FAERS database.

ABSTRACT:

Background

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.

Methods

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 perf

SUBMITTER: Hu Y 

PROVIDER: S-EPMC11896992 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature