Corticosteroids Versus NSAIDs on Intraocular Pressure and the Hypertensive Phase After Ahmed Glaucoma Valve Surgery
Bibliographic record
Abstract
PURPOSE: To compare the effect of topical steroids versus nonsteroidal anti-inflammatory drugs on intraocular pressure (IOP) and the hypertensive phase (HP) after Ahmed glaucoma valve surgery. PATIENTS AND METHODS: Prospective, randomized, double-masked controlled trial. Twenty-eight consecutive consenting patients scheduled for Ahmed glaucoma valve surgery were randomized to receive either postoperative topical dexamethasone or ketorolac. The main outcome measure was IOP. Secondary outcomes included incidence of HP, visual acuity, number of glaucoma medications, postoperative complications, and subsequent procedures. RESULTS: The mean postoperative IOP (in mm Hg) in the ketorolac versus dexamethasone arms respectively was as follows: 8.8±4.7 versus 10.0±4.5 at week 1 (P=0.500); 10.7±6.7 versus 17.5±10.4 at week 2 (P=0.053); 11.0±6.5 versus 18.0±7.3 at week 4 (P=0.013); 14.8±8.6 versus 17.5±5.2 at week 6 to 8 (P=0.323); and 14.8±9.6 versus 17.8±7.5 at week 10 to 12 (P=0.374). Four patients (31%) in the ketorolac arm versus 8 patients (53%) in the dexamethasone arm exhibited the HP (P=0.276). Wound leak was the most severe complication and there were 3 cases (23%) in the ketorolac group versus nil in the steroid group (P=0.087). Conjunctival retraction was observed in 8 patients (62%) in the ketorolac arm versus 2 patients (13%) in the dexamethasone arm (P=0.016). CONCLUSIONS: Mean IOP was greater at all time points postoperatively in the steroid group with the difference between groups statistically significant at week 4. The nonsteroidal anti-inflammatory drug group showed greater wound-healing problems.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".