Real-world pharmacovigilance insights into drug-induced risk of alopecia.

ABSTRACT:

Background

Alopecia is a significant adverse effect that profoundly impacts quality of life. Although numerous medications are implicated, the real-world risk profiles across drug classes and patient demographics remain poorly quantified.

Objective

To identify and characterize drugs associated with alopecia using real-world data from the FDA Adverse Event Reporting System (FAERS).

Methods

FAERS reports from Q1 2004 to Q4 2024 were analyzed using four disproportionality methods (ROR, PRR, BCPNN, MGPS) to detect signals of drug-alopecia associations. Subgroup analyses were conducted by age, gender, and drug category. Time-to-onset (TTO) was analyzed using the Weibull distribution model.

Results

A total of 181,838 reports with drug-associated alopecia were identif

SUBMITTER: Li H 

PROVIDER: S-EPMC12698529 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature