Evidence map›Paper›PMID 40877383›Full record

ArticleScientific reports2025

A disproportionality analysis of adverse events caused by pexidartinib from the FDA adverse event reporting system.

Dan Chen, Xia-Wen Yang, Jing Fu, Deng-Zheng Zhang, Guo-Qing Chen, Wei Cai, Wen-Long Xie

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dan Chen *Department of Obstetrical, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Xia-Wen Yang *Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Jing Fu *Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Deng-Zheng ZhangDepartment of Pharmacy, Xianning Central Hospital, , The First Affiliated Hospital Of Hubei University Of Science And Technology, Xianning, 437000, Hubei, China.
Guo-Qing ChenDepartment of Cardiovascular, Changjiang County Integrative Medicine Hospital, Changjiang, 572700, China.
Wei CaiHubei Provincial Engineering Research Center of Intestinal Microecological Diagnostics, Therapeutics, and Clinical Translation, Wuhan, 430014, Hubei, China. 76308501@qq.com.
Wen-Long XieDepartment of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China. xiewl1114@163.com.

Funding

the Wuhan Science and Technology Bureau 2023020201020542
6 · The paper itself

Abstract

Tenosynovial giant cell tumor (TGCT) is a rare neoplasm closely associated with dysregulation of the colony-stimulating factor 1(CSF1)/CSF1R signaling pathway, faces high recurrence rates despite surgical intervention, prompting exploration of CSF1R inhibitors like pexidartinib. This retrospective pharmacovigilance study analyzed pexidartinib-associated adverse events (AEs) from FDA Adverse Event Reporting System (FAERS) data (Q4 2019-Q3 2024), employing disproportionality analyses (ROR, PRR, BCPNN, EBGM) and sensitivity assessments to evaluate 844 reports. Hepatic events (46.7% occurring within 30 days) and systemic reactions (fatigue, hair discoloration) dominated AE profiles, with median onset at 35 days (IQR 14-94). Sex-specific susceptibilities emerged, as females comprised 71.3% of cases and exhibited stronger signals for constipation and alopecia. Disproportionality analysis identified 84 significant Preferred Terms, while sensitivity analyses excluding confounders reinforced signal robustness. Despite therapeutic efficacy, hepatotoxicity and delayed-onset AEs (18.2% occurring after 6 months) necessitate rigorous adherence to risk mitigation protocols and long-term monitoring. These real-world data underscore sex-dimorphic AE patterns and validate FAERS as a critical tool for post-marketing surveillance, informing risk-benefit optimization in TGCT management.

Indexed as

Adverse Drug Reaction Reporting SystemsAminopyridinesDrug-Related Side Effects and Adverse ReactionsPyrrolesAdultAgedFemaleHumansMaleMiddle AgedPharmacovigilanceRetrospective StudiesUnited StatesUnited States Food and Drug AdministrationAminopyridinespexidartinibPyrrolesAdverse eventDisproportionality analysisFAERSPexidartinibPharmacovigilanceTenosynovial giant cell tumor

Identifiers

PMID40877383
PMCPMC12394515

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Registered trials

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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.