Evidence map›Paper›PMID 42547587›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Real-world safety profile of fezolinetant: a disproportionality analysis based on the FAERS database.

Shuoshuo Wei, Qingqiao Song, Lianxin Wang

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In one paragraph

Article in Naunyn-Schmiedeberg's archives of 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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0citing papers in PubMed
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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

3 authors.

Shuoshuo WeiInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Qingqiao SongGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China. songqqbj@126.com.
Lianxin WangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. wlxing@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fezolinetant, the first approved non-hormonal neurokinin-3 receptor antagonist for moderate-to‑severe vasomotor symptoms of menopause, demonstrated acceptable safety in phase 3 trials. However, real-world postmarketing safety evidence remains limited, and rare but serious liver injury has emerged as a regulatory concern. This study aimed to systematically characterize adverse event (AE) signals associated with fezolinetant using the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database and to assess their consistency with clinical trial data and regulatory warnings. Retrospective disproportionality analysis was performed using the FAERS database from the second quarter of 2023 to the first quarter of 2026. Only unique cases with fezolinetant designated as the primary suspect drug were included. Four algorithms, namely the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and Multi-item Gamma Poisson shrinker (MGPS), were applied to detect positive AE signals at the system organ class (SOC) and preferred term (PT) levels. Time-to-onset analysis, subgroup analyses stratified by age and reporting period, and sensitivity analysis restricted to physician-submitted reports were also conducted. A total of 1757 unique cases involving 3391 adverse events (AEs) were enrolled, with most cases involving female patients. At the PT level, 20 positive signals simultaneously satisfying all four algorithms were observed. Among these, liver-related laboratory abnormalities were prominent, including aspartate aminotransferase increased (ROR 41.72, 95%CI

Indexed as

Disproportionality analysisFAERSFezolinetantLiver injuryPharmacovigilance study

Identifiers

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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 Socratic graph.