Ultrasound Cyclo Plasty After Failed Glaucoma Surgery: Outcomes and Complications
Bibliographic record
Abstract
INTRODUCTION: The purpose of this study is to report the outcomes and complications of ultrasound cyclo plasty (UCP) after failed glaucoma surgery. METHODS: A retrospective case series included patients with previously failed glaucoma surgery who underwent UCP at King Abdul Aziz University Hospital, Riyadh, Saudi Arabia, between 2016 and 2021. The main outcome measures were: intraocular pressure (IOP), number of antiglaucoma medications and presence of vision-threatening complications. The surgical outcome of each eye was based on the main outcome measures. RESULTS: Seventy eyes of 70 patients were included in the study. The mean follow-up period was 31.89 months (± 17.5). The IOP and the number of antiglaucoma medications decreased significantly from a mean of 23.91 mmHg (± 6.3) and 3.43 (± 0.8) to 17.88 mmHg (± 8.1) and 2.48 (± 1.3) and of 16.74 (± 7.9) and 2.11 (± 1.3) at the 12th and 24th months postoperatively, respectively (p < 0.01 for both). The success rates were 77.1% (54/70) and 48.6% (34/70), while the failure rates were 22.9% (16/70) and 2.9% (2/70) at the 12th and 24th months postoperatively, respectively. The cumulative probabilities of success were 70.0% (± 5.5%) and 47.1% (± 6.0%) at the 12th and 24th months postoperatively, respectively. The most common complications were anterior chamber reaction (24.3%), cataract development/progression (18.6%), hypotony/choroidal detachment (4.3%), phthisis bulbi (1.4%) and aqueous misdirection (1.4%). CONCLUSIONS: UCP is an effective treatment modality to control IOP and decrease the burden of antiglaucoma medications in eyes with previously failed glaucoma surgery. Monitoring and counseling of possible postoperative complications are needed.
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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) | 0.000 | 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) | 0.001 | 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 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".