ArticleEuropean journal of clinical pharmacology2025
Post-marketing safety signals of imatinib: pharmacovigilance insights from the FDA Adverse Event Reporting System (FAERS) and implications for clinical practice.
Article in European journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Article
- Real-world and computational identification of herbal candidates associated with adverse event patterns in glucagon-like peptide-1 therapy for obesity.Scientific reports · 2026Article
- Safety profile of entrectinib in NSCLC: Multi-source pharmacovigilance analysis using FAERS and JADER.PloS one · 2026Article
- Will the introduction of β-lactamase inhibitors alter the adverse event profile of parent penicillins antibiotics? a pharmacovigilance study based on amoxicillin-clavulanate and ampicillin-sulbactam.Frontiers in pharmacology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo evaluate the safety profile of imatinib using the FDA Adverse Event Reporting System (FAERS) database, identifying both documented and undocumented adverse events.
methodsThe FAERS data is widely used in drug safety surveillance studies, helping to identify potential safety issues. The FAERS data, spanning from the first quarter of 2014 to the fourth quarter of 2024, were subjected to a comprehensive analysis utilizing various disproportionality analysis methods. These methods included the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayes geometric mean (EBGM). The primary objective of this analysis was to quantify the associations between specific drugs and their corresponding adverse events (AEs). By employing these advanced statistical techniques, we aimed to identify and evaluate potential safety signals within the vast dataset, thereby providing valuable insights into the pharmacovigilance landscape over the specified decade.
resultsA total of 56,364 reports (170,659 AE occurrences) were included. Imatinib exhibited expected AEs (e.g., nausea, diarrhea) consistent with summaries of product characteristics (SPCs), alongside potential novel signals such as pubertal failure, large intestine fibroma, ototoxicity, and pregnancy complications. Severe outcomes comprised 84.24% of reports (34.44% death), with 38.08% of AEs occurring > 360 days post-treatment. Malignant neoplasm progression showed a strong association.
conclusionsThis study has revealed the safety issues of imatinib, particularly in terms of gastrointestinal reactions. It emphasizes the need for careful monitoring and further research in clinical applications to understand the mechanism, improve treatment efficacy, and minimize adverse events.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.