Optical coherence tomography of the suprachoroid after CyPass Micro-Stent implantation for the treatment of open-angle glaucoma
Bibliographic record
Abstract
BACKGROUND/AIMS: To evaluate the supraciliary space (SCS) with anterior segment optical coherence tomography (OCT) imaging after CyPass Micro-Stent implantation. METHODS: The SCS was imaged with OCT after microstent implantation at 1, 6 months, and 1 year. Images were graded on a scale of 0-4 for morphological features indicative of fluid presence within, or drainage through, the SCS. RESULTS: 35 patients underwent ab-interno microstent implantation. Mean age was 68.6±10.2 years. Baseline mean intraocular pressure (IOP) was 21.9±6.1 mm Hg on average of 3.0 topical medications. At 1 month, the fluid space grade was ≥1 for 96% (24/25) of patients for tenting, 79% (15/19) for fluid posterior to the microstent, and 89% (8/9) for fluid surrounding the microstent. The mean (composite) score for all features was 2.5±0.99. The majority of patients maintained aqueous fluid through 12 months. CONCLUSIONS: OCT imaging provides adequate visualisation of the angle, the SCS and aqueous fluid drainage after implantation of a suprachoroidal microstent into the SCS.
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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 | 0.001 |
| 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 | 0.001 |
| 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".