Phacoemulsification combined with a new ab interno gel stent to treat open-angle glaucoma: Pilot study
Bibliographic record
Abstract
PURPOSE: To study the effect on intraocular pressure (IOP) of implanting a new gelatin stent at the time of cataract surgery in the treatment of open-angle glaucoma (OAG). SETTING: Multicenter university and private-practice settings. DESIGN: Nonrandomized prospective clinical trial. METHODS: The implantation of 2 models of a gelatin stent (Xen140 and Xen63) was performed at the time of cataract surgery without mitomycin-C. Complete success was defined as a postoperative IOP of less than 18 mm Hg and more than a 20% reduction in IOP at 12 months without glaucoma medication. Failure was defined as loss of light perception vision or worse, a need for additional glaucoma surgery, or less than a 20% reduction in the IOP from baseline. RESULTS: The study included 37 eyes of 37 patients. The mean preoperative IOP was 22.4 mm Hg ± 4.2 (SD) on 2.5 ± 1.4 medication classes. Twelve months postoperatively, the mean IOP was reduced to 15.4 ± 3.0 mm Hg on 0.9 ± 1.0 medication classes (P < .0001). This resulted in a qualified success of 85.3% and a complete success rate off medications of 47.1%. There were no failures. CONCLUSION: Cataract surgery combined with implantation of the gelatin stent resulted in a significant reduction in IOP in eyes with OAG. FINANCIAL DISCLOSURE: Dr. Sheybani has received travel reimbursement from Aquesys, Inc. Dr. Ahmed is a paid consultant to Aquesys, Inc. No other author has a financial or proprietary interest in any material or method mentioned.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".