Evidence map›Paper›PMID 41972870›Full record

ArticleTranslational vision science & technology2026

Signals of Drug-Related Retinal Fibrosis: Findings From a 20-Year Disproportionality Analysis of Global Spontaneous Reports.

Mingyan Wei, Xiaodong Chen, Ke Feng, Shinan Wu, Panqin Ma, Yi Han, Qian Chen, Zuguo Liu

Abstract read
In one paragraph

Article in Translational vision science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Mingyan WeiDepartment of Ophthalmology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Xiaodong ChenXiamen University Affiliated Xiamen Eye Center, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Fujian Engineering and Research Center of Eye Regenerative Medicine, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Ke FengXiamen University Affiliated Xiamen Eye Center, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Fujian Engineering and Research Center of Eye Regenerative Medicine, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Shinan WuXiamen University Affiliated Xiamen Eye Center, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Fujian Engineering and Research Center of Eye Regenerative Medicine, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Panqin MaDepartment of Ophthalmology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Yi HanDepartment of Ophthalmology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Qian ChenXiamen University Affiliated Xiamen Eye Center, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Fujian Engineering and Research Center of Eye Regenerative Medicine, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Zuguo LiuDepartment of Ophthalmology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to identify potential drugs associated with drug-related retinal fibrosis (RF) and to analyze their risk characteristics systematically. Methods: This study used a retrospective disproportionality analysis to identify significant drug signals associated with RF from over 17 million reports in the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database. The identified drugs were categorized by therapeutic class, risk level, latency period, and key subgroups (e.g., age, gender, off-label use). Results: Sixteen drugs showed a significant association with RF, including anti-neovascularization agents, corticosteroids, and immunosuppressants. Risk severity varied: Verteporfin, ranibizumab, and brolucizumab had the highest risk, and vigabatrin and sildenafil had a relatively lower risk. The latency periods differed significantly, ranging from a median of 950 days for fluocinolone acetonide to 13 days for triamcinolone. Subgroup analysis revealed that off-label use increased the risk of RF and uncovered distinct susceptibility patterns: Adolescents (0-17 years) faced a higher risk when using specific drug classes such as corticosteroids, whereas elderly patients (≥65 years) were more susceptible to RF when using anti-neovascularization agents. Females showed a higher risk associated with immunosuppressants. Conclusions: This study presents a list of drugs associated with RF, providing a valuable reference to guide rational drug use, preserve visual acuity, and prevent irreversible structural damage. Translational Relevance: Identifying specific drugs associated with RF is crucial for preventing drug-related RF and developing personalized monitoring strategies.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsRetinaRetinal DiseasesAdolescentAdrenal Cortex HormonesAdultAgedAngiogenesis InhibitorsChildChild, PreschoolDatabases, FactualFemaleFibrosisHumansImmunosuppressive AgentsAdrenal Cortex HormonesAngiogenesis InhibitorsImmunosuppressive Agents

Identifiers

PMID41972870
PMCPMC13089653

What OpenQuestion holds

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Registered trials

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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.