Evidence map›Paper›PMID 41626234›Full record

ArticleFrontiers in medicine2026

Drug-induced cataract: a real-world study based on the food and drug administration adverse event reporting system database.

Xianfen Cao, Xiaoping Zhou, Shinan Wu, Jing Zeng, Yulun Ou, Qing Zhou

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

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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

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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

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5 · Who and what money

Authors and funding

6 authors.

Xianfen Cao *Department of Ophthalmology, The First People's Hospital of Chenzhou, Chenzhou, Hunan, China.
Xiaoping Zhou *Department of Ophthalmology, The First People's Hospital of Chenzhou, Chenzhou, Hunan, China.
Shinan Wu *Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Jing ZengDepartment of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yulun OuDepartment of Ophthalmology, The First People's Hospital of Chenzhou, Chenzhou, Hunan, China.
Qing ZhouDepartment of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to investigate the risk of drug-induced cataract and examine its epidemiological patterns using real-world data. Methods: Data from the FDA Adverse Event Reporting System (FAERS), spanning January 2004 to December 2024, were analyzed. A disproportionality analysis was conducted on the FAERS database using four quantitative measures-reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS)-to identify potential safety signals. The study categorized the identified cataract-induced drugs by risk level and quantitatively compared the time to onset across these categories. Results: A total of 671 drugs were reported to be associated with cataract in the FAERS database. Disproportionality analysis identified 64 drugs with a significant risk of cataract formation. The primary therapeutic classes included hormonal, oncological, and ophthalmic medications, along with drugs acting on the nervous system. The highest-risk drugs identified were omidenepag isopropyl, clobazam, and nitisinone, with BCPNN scores of 7.69, 7.36, and 6.02, respectively. Ophthalmic medications showed the shortest mean onset time for drug-induced cataract, averaging 120.29 days. The majority of affected individuals were female (67.59%) and elderly (mean age 63.85 ± 14.54 years). Conclusion: This study provides real-world evidence regarding the risk of drug-induced cataract, offering empirical support for preventive strategies and informed clinical decision-making.

Indexed as

cataractdrug-induced riskdrug induction timeFAERSpharmacovigilance

Identifiers

PMID41626234
PMCPMC12857064

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