Evidence map›Paper›PMID 41339668›Full record

ArticleScientific reports2025

A real-world safety analysis of infection-related adverse events associated with belimumab, rituximab, and TNF inhibitors using the FAERS database.

Wang Sisi, Deng Sheng, Huang Yuting, Yang Rong, Liu Shao

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
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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

5 authors.

Wang SisiDepartment of Pharmacy, Xiangya Hospital of Central South University, Changsha, 410008, China.
Deng ShengDepartment of Pharmacy, Xiangya Hospital of Central South University, Changsha, 410008, China.
Huang YutingDepartment of Pharmacy, Xiangya Hospital of Central South University, Changsha, 410008, China.
Yang RongDepartment of Pharmacy, Xiangya Hospital of Central South University, Changsha, 410008, China.
Liu ShaoDepartment of Pharmacy, Xiangya Hospital of Central South University, Changsha, 410008, China. liushao999@csu.edu.cn.

Funding

Natural Science Foundation of Hunan Province No.2023JJ60515
6 · The paper itself

Abstract

Objective The study aims to evaluate infection-related safety profiles of belimumab, rituximab, and TNF inhibitors using the FDA Adverse Event Reporting System (FAERS) database. Methods A disproportionality analysis combining Reporting Odds Ratios (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) was conducted on FAERS data from Q1 2014 to Q2 2024. Results Belimumab and rituximab are more likely to cause progressive multifocal leukoencephalopathy (PML), while infliximab show a greater variety tuberculosis (TB)-related AEs than other biological agents. Rituximab exhibited a risk association with hepatitis B virus reactivation and sepsis-related AEs. Most of these infection AEs are listed in drug packaging labels, our study also identified some rare and potential AEs such as cutaneous leishmaniasis, gallbladder empyema, leprosy, chikungunya virus infection and dengue fever. Conclusion Belimumab, rituximab, and TNF inhibitors exhibit distinct infection risks. Clinicians should prioritize monitoring for severe events like PML, TB, and hepatitis B viral reactivation. However, epidemiological investigations and further causality assessments are required.

Indexed as

Antibodies, Monoclonal, HumanizedRituximabTumor Necrosis Factor InhibitorsAdverse Drug Reaction Reporting SystemsBayes TheoremDatabases, FactualFemaleHumansLeukoencephalopathy, Progressive MultifocalMaleUnited StatesAntibodies, Monoclonal, HumanizedbelimumabRituximabTumor Necrosis Factor Inhibitors

Identifiers

PMID41339668
PMCPMC12675644

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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.