Outcomes of a Second Ahmed Glaucoma Implant With Mitomycin-C in Pediatric Glaucoma After Initial Valve Failure
Bibliographic record
Abstract
PRÉCIS: After the failure of a glaucoma drainage device in children, implantation of a second Ahmed glaucoma valve with mitomycin-C allows a significant reduction of intraocular pressure and number of medications with good medium-term and long-term survival. INTRODUCTION: The effectiveness of glaucoma drainage devices (GDD) is limited in time. There is little literature regarding the optimal management strategy after failure of a GDD in pediatric glaucoma. PURPOSE: To report the outcomes of Ahmed glaucoma valve implantation (AGV) with mitomycin-C (MMC) after failure of a GDD in children. METHODS: Retrospective chart review of patients with a history of at least 1 GDD receiving an AGV implantation with MMC between 2000 and 2019. We defined complete success as an IOP of 5-21 mm Hg without glaucoma medication and qualified success as a final IOP of 5-21 mm Hg with one or more glaucoma medication, without loss of vision. RESULTS: Twenty-one patients (22 eyes) met the inclusion criteria. The intraocular pressure and number of medications were significantly reduced. The probability of complete success was 47% [95% CI: 29%-75%] at 2 years and 34% [95% CI: 18%-65%] at 4 years. The probability of qualified success was 74% [95% CI: 56%-97%] at 2 years, and 54% [95% CI: 34%-84%] at 5 years. Failure happened in 10 eyes after a mean time of 4.3 years ±3.6 (6 mo to 15 y), 5 of which (23%) for severe complications or loss of vision. DISCUSSION: This study of implantation of a second valve with MMC reports a significant decrease in IOP and medications with medium-term and long-term success rates close to those reported for first valve implantation, although with a high risk of complications.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".