Evidence map›Paper›PMID 40074775›Full record

ArticleScientific reports2025

Analysis and mining of Dupilumab adverse events based on FAERS database.

Hui Gao, Liqiang Cao, Chengying Liu

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. A real-world analysis of FDA Adverse Event Reporting System (FAERS) events for liposomal nanoparticle-formulated and conventional anticancer irinotecan.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
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  5. Review
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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.

Hui GaoJiangyin People's Hospital Affiliated to Southeast University, Jiangyin, China.
Liqiang CaoJiangyin People's Hospital Affiliated to Southeast University, Jiangyin, China.
Chengying LiuJiangyin People's Hospital Affiliated to Southeast University, Jiangyin, China. cy_liu111@139.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore potential adverse events (AEs) related to Dupilumab using data from the US FDA Adverse Event Reporting System (FAERS) database. The FAERS database from Q2 2017 to Q4 2023 was mined for AEs related to Dupilumab. The types of AEs reported, along with gender, age distribution, and severity, were evaluated. Signal detection methods including Reporting Odds Ratio, Proportional Reporting Ratio, Bayesian Confidence Propagation Neural Network, and Empirical Bayesian Geometric Mean were used. A total of 11,547,571 AE reports were collected, with 5335 reports suspected of being related to Dupilumab, identifying 307 Preferred Terms involving 27 System Organ Classes. Reports from female patients outnumbered males (56.08% vs. 34.65%). Patients aged 45-65 years reported the most events (21.34%). The number of reports increased significantly in 2023 (34.25%) compared to 2017 (0.42%), with the highest reporting rate from the US (98.07%). Common AEs included Pruritus, Product use in unapproved indication, and Rash, with Product dose omission issue indicating widespread misuse of Dupilumab. High signal strength AEs included Rebound atopic dermatitis, Rebound eczema, Dermatitis atopic, and Dry skin; injection site AEs like Injection site dryness and eczema; new potential AEs such as Dry eye, Eye pruritus, Ocular hyperaemia, Eye irritation, Conjunctivitis, Vision blurred, and Sleep disorder. This study reveals various potential AEs associated with Dupilumab, including newly identified risks. Future research needs to delve deeper into the safety of Dupilumab to better guide its clinical application.

Indexed as

Adverse Drug Reaction Reporting SystemsAntibodies, Monoclonal, HumanizedDrug-Related Side Effects and Adverse ReactionsAdolescentAdultAgedBayes TheoremChildDatabases, FactualData MiningFemaleHumansMaleMiddle AgedUnited StatesUnited States Food and Drug AdministrationAntibodies, Monoclonal, HumanizeddupilumabAdverse eventsData miningDupilumabFAERS databaseSafety

Identifiers

PMID40074775
PMCPMC11903887

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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.