Evidence map›Paper›PMID 42602169›Full record

ArticleFrontiers in pharmacology2026

From signal to significance: characterizing anthracycline-related hypercoagulable adverse events via pharmacovigilance, animal models, and clinical observation.

Wen Huang, Junyi Shen, Jian Zhang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Wen Huang *Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Junyi Shen *Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jian ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anthracyclines are widely used antineoplastic agents with well-recognized cardiotoxicity; however, reports of hypercoagulable adverse events (HC-AEs) remain scattered and incompletely described. A systematic characterization of these events across large pharmacovigilance databases may help to clarify reporting patterns and generate hypotheses for further investigation. Methods: We performed a disproportionality analysis using the FDA Adverse Event Reporting System (FAERS) and the WHO Global Individual Case Safety Report Database (VigiBase) to identify HC-AEs reported in association with anthracyclines. Signals consistently observed in both databases were further explored descriptively with respect to reported drug-specific patterns and time-to-onset (TTO). To support hypothesis generation, exploratory analyses integrating transcriptomic data from The Cancer Genome Atlas (TCGA), retrospective clinical coagulation parameters, and Results: Across both pharmacovigilance platforms, 26 HC-AEs were consistently reported in association with anthracyclines. Doxorubicin was associated with the widest range of reported HC-AEs, whereas daunorubicin and aclarubicin showed more specific reporting patterns involving cerebral or intracardiac thrombosis and disseminated intravascular coagulation, respectively. The reported median TTO of HC-AEs following anthracycline exposure was 32.5 days (vs. 48.0 days in non-recipients, Conclusion: This multi-database pharmacovigilance analysis provides a systematic overview of HC-AEs reported in association with anthracyclines, highlighting drug-specific reporting patterns and variations in onset timing across age groups. While causal inference cannot be established, the concordant signals observed across independent data sources support heightened clinical awareness and hypothesis-driven surveillance of thrombotic complications during anthracycline therapy.

Indexed as

anthracyclinesFAERShypercoagulabilitypharmacovigilanceVigiBase

Identifiers

PMID42602169
PMCPMC13473302

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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.