Evidence map›Paper›PMID 41646193›Full record

ArticleFrontiers in pharmacology2026

Real-world landscape of drug-related ocular injuries: a retrospective pharmacovigilance study.

Guangyao Li, Zhihui Song, Shuning Li, Jiawei Wang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Guangyao LiDepartment of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Zhihui SongDepartment of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Shuning LiBeijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Jiawei WangDepartment of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to detect risk signals of drug-related ocular injuries, delineate their real-world epidemiological features, and provide evidence-based guidance for safe clinical use by utilizing the US Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: Adverse event reports classified under "Eye disorders" (System Organ Class, SOC) were extracted from the FAERS database covering Q1 2004 to Q4 2024. Disproportionality analyses were employed to identify drug-ocular injury associations, and the time-to-onset (TTO) of adverse reactions was analyzed using Weibull distribution modeling. Results: A total of 1,242,518 reports from 832,314 patients were included, with females accounting for 60.56% and elderly patients (≥65 years) for 21.63%. Serious outcomes comprised 62.80% of the reports. In total, 2,696 primary suspect drugs were identified, of which 359 met the signal detection criteria. High-risk drug categories included sensory organ drugs (ATC: S class, ROR = 4.93) and antineoplastic/immunomodulating agents (ATC: L class, most reports but ROR = 0.84). The top three drugs by signal strength were brolucizumab (ROR = 132.15), macrogol 400 (ROR = 117.96), and cenegermin (ROR = 60.19). The most common ocular injury types were blurred vision (121,517 cases), visual impairment (113,320 cases), and cataract (51,826 cases). TTO analysis indicated that most drugs exhibited an "early failure type" (β < 1), such as dupilumab (β = 0.68); only two drugs exhibited a random failure type. Conclusion: The risk of drug-related ocular injuries is primarily associated with sensory organ drugs and biologics, with the greatest risk occurring during the early treatment phase. Clinical monitoring should prioritize female and elderly patients, especially regarding ocular symptoms at the onset of drug therapy, to strengthen pharmacovigilance and inform personalized medication.

Indexed as

adverse drug eventsFAERS databaseocular injurypharmacovigilancesignal detection

Identifiers

PMID41646193
PMCPMC12868273

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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.