Effect of Topical Corticosteroids on Early Postoperative Intraocular Pressure Following Combined Cataract and Trabecular Microbypass Surgery
Bibliographic record
Abstract
Abstract Purpose: To evaluate the early postoperative outcomes of trabecular micro-bypass stents and concomitant cataract surgery (TMS-CS) with and without postoperative corticosteroid therapy. Methods: Prospective, interventional matched, consecutive case series comparing outcomes of open-angle glaucoma patients who underwent TMS-CS with and without postoperative corticosteroid therapy. Primary outcome was intraocular pressure (IOP) changes up to 6 months postoperatively and the secondary outcomes included number of postoperative medications, IOP spikes, peripheral anterior synechia (PAS), and best-corrected visual acuity improvements. Results: The clinical outcomes of 97 eyes—49 in the steroid group age- and IOP-matched with 48 in the nonsteroid group—were analyzed. Baseline IOP in steroid and nonsteroid groups were 16.22 ± 3.98 and 16.04 ± 3.99 ( P = 0.822), respectively. Both IOP and number of antiglaucoma medications significantly decreased postoperatively ( P < 0.001), however, there were no group differences at different time points ( P = 0.653 and P = 0.168, respectively). At 1 week postoperatively, the steroid group had higher number of IOP spikes ( n = 9) compared with nonsteroid group ( n = 2, P = 0.022). There was no significant difference in postoperative PAS between the steroid group ( n = 6) and nonsteroid group ( n = 6, P = 0.970). Vision improved significantly postoperatively ( P < 0.001) with no group differences at different time points ( P = 0.322). Conclusions: TMS-CS decreased IOP and number of antiglaucoma medications while improving visual acuity both with and without the use of postoperative steroids. Limiting the use of postoperative steroids in combined microbypass stents and cataract surgery appears to be a safe surgical option and may help minimize acute elevations in IOP in the early postoperative period.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".