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Record W4413373917 · doi:10.2147/opth.s516792

A Retrospective Data Analysis of Patients Treated with Difluprednate and Bromfenac for Cystoid Macular Edema After Uveitis or Cataract Surgery

2025· article· en· W4413373917 on OpenAlexaff
Nirmit Shah, Edward Tran, Sandra Caballero-Ortiz, Angela Kyveris, Toby Chan

Bibliographic record

VenueClinical ophthalmology · 2025
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsMcMaster UniversityWestern University
Fundersnot available
KeywordsMedicineMacular edemaOphthalmologyUveitisCataract surgeryRetrospective cohort studySurgeryVisual acuity

Abstract

fetched live from OpenAlex

Purpose: Cystoid macular edema (CME) is a condition which severely limits central vision, often occurring secondary to cataract surgery or uveitis. Although commonly treated with non-steroidal anti-inflammatory agents and a corticosteroid adjunct, an optimal medication regime has not yet been evaluated. Hence, we present a comprehensive analysis of the efficacy and relapse rate associated with various agents to treat CME, such as Bromfenac and Difluprednate. Patients and Methods: A retrospective chart review was conducted on patients aged 18 and above diagnosed with postoperative or uveitic CME via optical coherence tomography from January 1, 2016, to December 31, 2023. Among these eligible patients, we investigated those treated with non-steroidal anti-inflammatory drugs (NSAIDs) and/or corticosteroids. The primary outcome was the duration until complete resolution of CME. Secondary outcomes included improvement of CME and the likelihood of CME recurrence after treatment. Statistical analysis involved ANOVA and Tukey's HSD test to compare treatment efficacy. Results: A total of 518 patients were analyzed. Difluprednate and bromfenac (n = 28) demonstrated the shortest mean resolution time (1.45 months) compared to other combinations. The ANOVA test revealed significant differences among treatment groups (F-value: 6.455, P-value: <0.00001), and Tukey's HSD test showed that difluprednate and bromfenac significantly outperformed other medications in treating cystoid macular edema (CME) by reducing resolution times by 5.40 months compared to ketorolac alone (P = 0.0011), 4.76 months compared to ketorolac and prednisolone acetate (P = 0.0001), 5.42 months compared to loteprednol and nepafenac (P < 0.0001), 5.40 months compared to dexamethasone and nepafenac (P < 0.0001), and 4.47 months compared to no treatment (P = 0.0240). Difluprednate and bromfenac also had no cases of CME recurrence. Conclusion: Difluprednate and bromfenac proved to be the most effective treatment regimen for cystoid macular edema (CME), resolving the condition in the shortest amount of time and requiring less frequent dosing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.383
Teacher spread0.327 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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