Cyclophotocoagulation in the Control of Glaucoma in Patients With the Boston Keratoprosthesis Type 1
Bibliographic record
Abstract
PURPOSE: To evaluate the outcomes of transscleral cyclophotocoagulation (CPC) in the control of glaucoma in eyes with a Boston keratoprosthesis (KPro) type 1. METHODS: This study is a retrospective case series of patients who have undergone at least 1 CPC treatment after KPro implantation. Eighteen eyes of 17 patients were included. Intraocular pressure (IOP) (assessed by digital palpation) and the number of classes of glaucoma medications were recorded at 1 week, 1 to 3 months, 4 to 6 months, and 1 year postoperatively. Optic nerve status, visual field parameters, and perioperative and postoperative complications were recorded. RESULTS: Twenty-one CPC sessions were administered overall. Seven eyes (39%) had IOP < 20 mm Hg preoperatively, and this increased to 15 eyes (83%) at the 1-year postoperative follow-up. The mean number of glaucoma medications used was 3.9 preoperatively and did not change significantly after treatment. Seven eyes (39%) had glaucoma progression despite CPC treatment. Three eyes (17%) initially responded to CPC but later failed at 3, 6, and 12 months. Two of them responded to repeat CPC, and 1 continued to progress despite retreatment. Two eyes (11%) developed early postoperative hypotony, 1 eye (6%) developed cystoid macular edema, 1 eye (6%) developed bacterial endophthalmitis with subsequent enucleation, and 1 eye (6%) lost light perception because of glaucoma. CONCLUSIONS: CPC was useful to control IOP in some KPro eyes with refractory glaucoma, although it did not significantly reduce concurrent medical therapy. In addition, caution must be taken because microbial infection can occur after CPC because of the lack of biointegration between the host cornea and the device.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".