ArticleTranslational vision science & technology2026
Signals of Drug-Related Retinal Fibrosis: Findings From a 20-Year Disproportionality Analysis of Global Spontaneous Reports.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.