Evaluating the efficacy of Rho kinase inhibitor eye drops in the management of corneal edema: A single-center retrospective cohort study
Bibliographic record
Abstract
Abstract: PURPOSE: This study aimed to evaluate the efficacy of ripasudil in managing various corneal edema conditions. MATERIALS AND METHODS: This single-center retrospective analysis was conducted at Hadassah Medical Center and involved 16 patients with 17 eyes. Patients were selected based on diagnostic criteria, primarily corneal edema. The conditions were as follows, listed by frequency: postcataract surgery (31.25%), postpenetrating keratoplasty (25%), post-Descemet’s membrane endothelial keratoplasty (18.75%), Fuchs’ endothelial corneal dystrophy (12.5%), status post-Ahmed glaucoma valve (6.25%), and status posttrabeculectomy (6.25%). The treatment regimen involved topical administration of ripasudil hydrochloride hydrate (Glanatec ® 0.4%), administered three times a day or tailored to condition severity. Efficacy was assessed using pre- and posttreatment measurements of best-corrected visual acuity (BCVA), central corneal thickness (CCT), and endothelial cell count (ECC), along with slit-lamp and optical coherence tomography examinations. RESULTS: The average duration of ripasudil treatment was approximately 4.9 ± 2.2 months. Significant improvements were observed in BCVA, changing from a pretreatment value of 1.106 ± 0.817 logMAR to a posttreatment value of 0.56 ± 0.57 logMAR ( P = 0.0308). CCT also showed a significant reduction, from 619.50 ± 56.36 μm pretreatment to 572.5 ± 75.48 μm posttreatment ( P = 0.0479). ECC showed a marginal but not statistically significant increase, from 849.00 ± 570.72 cells/mm² pretreatment to 874.75 ± 625.59 cells/mm² posttreatment ( P = 0.9010). CONCLUSION: The study provides robust evidence supporting the use of ripasudil in managing corneal edema. Significant improvements in key ocular metrics such as BCVA and CCT were observed, enhancing the overall quality of life for patients suffering from various forms of corneal edema.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".