Disproportionality Analysis of Abemaciclib in the FDA Adverse Event Reporting System: A Real-World Post-Marketing

Yamin Shu1, Lei Wang2, Yiling Ding3

  • 1Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.

Drug Safety
|July 7, 2023
PubMed
Abstract

Insights

This study analyzed real-world adverse events for abemaciclib, a CDK4/6 inhibitor, identifying common and unexpected toxicities. Findings aid clinicians in managing abemaciclib

Area of Science:

  • Pharmacovigilance
  • Oncology
  • Drug Safety

Background:

  • Abemaciclib is effective for HR+, HER2- advanced breast cancer.
  • Clinical trials have limitations in detecting rare or long-term adverse events.
  • Real-world data analysis is crucial for comprehensive safety profiling.

Purpose of the Study:

  • To evaluate adverse events associated with abemaciclib using real-world data.
  • To identify common, rare, and unexpected adverse events.
  • To assess the clinical priority and time to onset of abemaciclib toxicities.

Main Methods:

  • Data mining of the FDA Adverse Event Reporting System (FAERS) from Q3 2017 to Q1 2022.
  • Utilized reporting odds ratio and Bayesian confidence propagation neural network for signal detection.
  • Compared serious and non-serious cases and assigned clinical priority scores.

Main Results:

  • Identified 6125 abemaciclib reports and 72 significant adverse events.
  • Common adverse events include diarrhea, neutropenia, and liver enzyme elevations.
  • Unexpected adverse events and varying clinical priorities (strong, moderate, weak) were identified, with median onset times ranging from 22-49 days.

Conclusions:

  • Disproportionality signal discovery enhances awareness of abemaciclib toxicities.
  • Analysis of onset time, case severity, and clinical priority supports adverse event management.
  • Real-world data mining provides valuable insights into abemaciclib safety beyond clinical trials.

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