Evidence map›Paper›PMID 40944873›Full record

ArticleInfectious diseases and therapy2025

Analysis of Adverse Drug Reactions of Clofazimine Reported in the FDA Adverse Event Reporting System from 2004 to 2025 Q1.

Ruoyu Zhang, Yunwen Tao, Ziwei Bao, Jianping Zhang, Lingwu Zeng, Chen Fang, Meiying Wu

Abstract read
In one paragraph

Article in Infectious diseases and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Ruoyu Zhang *Department of Tuberculosis, The Fifth People's Hospital of Suzhou (The Affiliated Infectious Disease Hospital of Soochow University), Suzhou, 215000, China.
Yunwen Tao *Department of Clinical Nutrition, Second Affiliated Hospital of Soochow University, Suzhou, China.
Ziwei BaoDepartment of Tuberculosis, The Fifth People's Hospital of Suzhou (The Affiliated Infectious Disease Hospital of Soochow University), Suzhou, 215000, China.
Jianping ZhangDepartment of Tuberculosis, The Fifth People's Hospital of Suzhou (The Affiliated Infectious Disease Hospital of Soochow University), Suzhou, 215000, China.
Lingwu ZengDepartment of Tuberculosis, The Fifth People's Hospital of Suzhou (The Affiliated Infectious Disease Hospital of Soochow University), Suzhou, 215000, China.
Chen FangDepartment of Clinical Nutrition, Second Affiliated Hospital of Soochow University, Suzhou, China. afa9911@sina.com.ORCID http://orcid.org/0000-0003-4329-9471
Meiying WuDepartment of Tuberculosis, The Fifth People's Hospital of Suzhou (The Affiliated Infectious Disease Hospital of Soochow University), Suzhou, 215000, China. wu_my@126.com.ORCID http://orcid.org/0000-0002-3469-8350

Funding

Key Laboratory in Science and Technology Development Project of Suzhou Szlcyxzx20210
6 · The paper itself

Abstract

introductionClofazimine (CFZ) is an antimycobacterial agent used primarily for leprosy and multidrug-resistant tuberculosis. Despite its long clinical history, comprehensive pharmacovigilance data remain limited. This study aimed to analyze CFZ-associated adverse events (AEs) reported in the FDA Adverse Event Reporting System (FAERS), identifying and pharmacovigilance signals.

methodsWe conducted a retrospective pharmacovigilance analysis of the FAERS database from 2004 to 2025 Q1. ASCII-format data were imported into R 4.4.2 and deduplicated using FDA guidelines. Reports Listing CFZ as the primary suspect drug were identified using generic and brand names. AEs were coded using MedDRA 27.1. Disproportionality analyses, including reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayesian geometric mean (EBGM), identified signals of disproportionate reporting. Subgroup analyses examined sex differences, while time-to-onset (TTO) analyses characterized latency patterns.

resultsA total of 1287 CFZ-related AE reports were identified, with 995 (77.3%) classified as serious. Death (11.6%) and hospitalization (18.1%) were the most frequent serious outcomes. The majority of reports originated from the United States (59.4%). Demographic analysis showed higher reporting among females (49.6%) and patients aged 18-64 years (46.5%). Disproportionality analyses identified 135 preferred terms with positive safety signals. The most prominent signals included QT prolongation (ROR ~ 37.61), drug resistance (ROR ~ 17.31), skin hyperpigmentation (ROR ~ 13.07), and respiratory failure (ROR ~ 7.46), ranging from moderate to strong signal intensity. Subgroup analyses revealed significant sex differences in specific AE signals. TTO analysis indicated varied latency distributions across System Organ Class (SOC) and preferred term levels.

conclusionOur pharmacovigilance assessment of FAERS data from 2004 to 2025 not only identified multiple serious and consistent safety signals associated with clofazimine such as prolonged QT intervals but also revealed a life-threatening AE respiratory failure. Although the analysis of these AEs cannot directly reflect causal relationships due to the nature of the FAERS data from spontaneous reporting, our findings highlight the critical importance of continuous pharmacovigilance, targeted clinical monitoring, and consideration of sex-based risk differences to ensure the safe use of clofazimine in clinical practice.

Indexed as

Adverse eventsClofazimineDisproportionality analysisFAERS

Identifiers

PMID40944873
PMCPMC12511488

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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.