Evidence map›Paper›PMID 41329755›Full record

ArticlePloS one2025

Safety profile of TNF- alpha Inhibitors in pediatric patients: A post-marketing surveillance study based on the FAERS database.

Yanmo Yang, Peng Wang, Qin-Xuan Li

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Article in PloS one, 2025. 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

The trial behind it

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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.

Yanmo YangDepartment of pharmacy, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Changde, Hunan, China.ORCID https://orcid.org/0009-0000-9124-936X
Peng WangDepartment of pharmacy, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Changde, Hunan, China.
Qin-Xuan LiDepartment of pharmacy, Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Changde, Hunan, China.ORCID https://orcid.org/0009-0000-5868-2487

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study systematically evaluated the safety profile of tumor necrosis factor-alpha (TNF-α) inhibitors in pediatric patients using data from the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) from Q1 2004 to Q3 2024.Through disproportionality analysis of adverse event (AE) reports for infliximab, etanercept, adalimumab, golimumab and certolizumab, we identified 852 significant safety signals spanning 27 system organ classes (SOCs). The most frequently reported SOCs included General Disorders and Administration Site Conditions (12,940 cases), Injury, Poisoning, and Procedural Complications (5,503 cases), and Gastrointestinal Disorders (4,346 cases).Key findings revealed that infection-related AEs and injection-site reactions were the predominant safety concerns. The median onset time of AEs was 235 days (IQR: 46-832 days), with 19.8% of cases occurring within the first month of treatment. Notably, 25.5% of reported AEs required hospitalization, while fatal and life-threatening outcomes accounted for 0.9% and 1.4% of cases, respectively. This comprehensive analysis confirms the multisystemic involvement and prolonged latency of TNF-α inhibitors-associated AEs in pediatric populations. While these agents remain vital for managing chronic inflammatory diseases, the findings advocate for enhanced clinical vigilance. We propose a tiered monitoring protocol prioritizing infection surveillance (e.g., serial inflammatory markers), systematic injection-site evaluations, and longitudinal organ function assessments, particularly during the initial treatment phase, to optimize therapeutic risk-benefit ratios.

Indexed as

Adverse Drug Reaction Reporting SystemsProduct Surveillance, PostmarketingTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsAdalimumabAdolescentAntibodies, MonoclonalCertolizumab PegolChildChild, PreschoolDatabases, FactualEtanerceptFemaleHumansInfantInfliximabAdalimumabAntibodies, MonoclonalCertolizumab PegolEtanerceptgolimumabInfliximabTumor Necrosis Factor-alphaTumor Necrosis Factor Inhibitors

Identifiers

PMID41329755
PMCPMC12671830

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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.