ReviewClinical drug investigation2024
Thromboembolic Events Associated with Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors: A Pharmacovigilance Analysis of the US FDA Adverse Event Reporting System (FAERS) Database.
Review in Clinical drug investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Cardiovascular adverse events associated with epidermal growth factor receptor tyrosine kinase inhibitors inBMJ (Clinical research ed.) · 2025Pooled it
- A pharmacovigilance study of thromboembolism events associated with vascular endothelial growth factor receptor tyrosine kinase inhibitors based on FAERS database.Scientific reports · 2025Article
- Synergizing Success: The Role of Anlotinib Combinations in Advanced Non-Small Cell Lung Cancer Treatment.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Article
- Adverse event profile of memantine and donepezil combination therapy: a real-world pharmacovigilance analysis based on FDA adverse event reporting system (FAERS) data from 2004 to 2023.Frontiers in pharmacology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
objectivesAlthough thromboembolic events (TEEs) have been reported with the use of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), their association remains largely unknown. In this study, we aimed to provide a comprehensive review of TEEs associated with EGFR-TKIs.
methodsWe collected EGFR-TKIs (gefitinib, erlotinib, afatinib, and osimertinib) adverse reaction reports from 2015 Q1 to 2023 Q1 from the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database. Disproportionality analysis was conducted to identify thromboembolic adverse events associated with EGFR-TKIs by comparing them with the overall FAERS database according to the reporting odds ratio (ROR). Associated factors were explored using univariate logistic regression.
resultsWe identified 1068 reports of TEEs associated with EGFR-TKIs (1.24% accounts for all TEEs). Affected patients were females (49.72%) and those older than 65 years (41.20%). The reported TEE case fatality was 30.24%. The median time to onset (TTO) of all cases was 39 days [interquartile range (IQR) 11-161], and the median TTO of fatalities [31 days (IQR 10-116)] was significantly shorter than that of non-fatal cases [46 days (IQR 12-186)].
conclusionThis study yielded three key findings. Firstly, EGFR-TKIs seem to exhibit prothrombotic effects, elevating the risk of TEEs. Secondly, the clinical outcomes of TEEs associated with EGFR-TKIs were poor. Thirdly, most TEEs occurred within the initial 3 months, and fatal cases occurred earlier than non-fatal cases.
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.