Gonioscopy-Assisted Transluminal Trabeculotomy in Uveitis-Related Ocular Hypertension and Glaucoma
Bibliographic record
Abstract
PRÉCIS: Gonioscopy-assisted transluminal trabeculotomy (GATT) may be an effective first-line surgery for decreasing intraocular pressure (IOP) and medication burden in patients with uveitis-related ocular hypertension (OHT) or glaucoma. OBJECTIVE: The purpose of the study is to determine the efficacy of GATT in lowering IOP in uveitis-related OHT or glaucoma. METHODS: Retrospective case series that included patients with uveitis-related OHT or glaucoma who underwent GATT with or without concomitant cataract extraction and intraocular lens implantation at 2 Canadian academic centres from July 2018 to May 2022. Primary outcomes were: complete (no medications) and qualified success (with medication), and failure defined as (1) IOP >21 mm Hg with maximal medical therapy, (2) the need for additional glaucoma procedure, (3) loss of light perception secondary to glaucoma, and (4) IOP <6 mm Hg for 3 months. RESULTS: Twenty-one eyes from 18 patients were included with a mean preoperative IOP of 26.2 ± 7.3 mm Hg on 4.3 ± 0.7 classes of glaucoma drops. The average follow-up was 29.2 ± 17.6 months and 76% of eyes (n = 16) had reached at least 12 months of follow-up. At the 12-month follow-up visit, there was a significant decrease in average IOP by 9.9 ± 7.9 mm Hg (38%, P = 0.005) and a decrease of 1.9 in glaucoma medication classes ( P = 0.002). Of eyes, 14% achieved complete success, whereas 80% of eyes achieved qualified success. Six eyes failed (29%) and 5 patients (24%) required additional glaucoma surgery. The most common postoperative complication was hyphema (n = 9; 43%). CONCLUSION: This small case series suggests that GATT may be an effective first-line surgery for decreasing IOP and medication burden in patients with uveitis-related OHT or glaucoma. Further studies with longer follow-ups should be conducted to assess its long-term outcomes.
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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 | 0.001 |
| 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".