Evidence map›Paper›PMID 41366886›Full record

Observational studyMedicine2025

Analyzing adverse event signals of aprepitant using FAERS database data in real-world settings: Broadening the adverse event spectrum of aprepitant and its clinical implications.

Feichi Chen, Di Cai, Heli Wen, Liang Zhang

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Feichi ChenDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Di CaiDepartment of General Practice, Huazhong Agricultural University Hospital, Wuhan, Hubei, China.
Heli WenDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Liang ZhangDepartment of Breast Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Provincial Clinical Research Center for Breast Cancer, Wuhan Clinical Research Center for Breast Cancer, Wuhan, Hubei, China.ORCID 0009-0001-3071-9820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aprepitant, a neurokinin-1 receptor antagonist approved by the US FDA for chemotherapy- and postoperative-induced nausea and vomiting, has limited real-world safety data; we therefore interrogated the FDA Adverse Event Reporting System from Q1 2004 to Q3 2023 to systematically characterize aprepitant-associated adverse drug events. After extracting 8271 reports on 3033 patients, we applied a combined signal detection framework - reporting odds ratio, proportional reporting ratio and the Bayesian confidence propagation neural network with multi-item gamma Poisson shrinker - and analyzed demographics, reporter profiles and temporal trends. Women represented 54.10% of cases, the 45 to 65-year age group 27.86%, and healthcare professionals filed 65.64% of reports; the United States, France, Japan, the United Kingdom, and China contributed most cases, peaking during 2013 to 2019. While labeled toxicities were confirmed, novel high-strength signals emerged, including joint deposition, oral mucosal roughening, encephalopathy, dysplasia, febrile myelodysplasia, small cell lung cancer and tonic-clonic movements, whereas dyspnea and nausea remained the 2 most frequently reported events. These findings corroborate known risks and unveil previously under-recognized aprepitant related adverse reactions, providing actionable safety guidance for clinicians and suggesting that the strong joint deposition signal warrants prospective investigation of aprepitant in arthritic disorders.

Indexed as

Adverse Drug Reaction Reporting SystemsAntiemeticsAprepitantNeurokinin-1 Receptor AntagonistsAdolescentAdultAgedBayes TheoremDatabases, FactualFemaleHumansMaleMiddle AgedNauseaUnited StatesYoung AdultAntiemeticsAprepitantNeurokinin-1 Receptor Antagonistsadverse eventaprepitantdata miningFAERSNK-1RApharmacovigilancereal-world study

Identifiers

PMID41366886
PMCPMC12688728

What OpenQuestion holds

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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.