Outcome of trabeculectomy with intraoperative mitomycin C for uveitic glaucoma.
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to compare the outcomes of mitomycin C (MMC)-augmented trabeculectomy in glaucoma patients with uveitis to those without uveitis but with other high-risk characteristics. METHODS: A retrospective comparative cohort analysis consisting of 51 eyes of 51 patients (21 uveitic patients and 30 nonuveitic patients) was performed. Two outcome classifications were analyzed: absolute success (intraocular pressure [IOP]<or=30% baseline without glaucoma medications or 5-fluorouracil (5-FU) injections), and qualified success (IOP<or=30% baseline with glaucoma medications or 5-FU injections). Kaplan-Meier survival curves were constructed for both models. RESULTS: After a mean follow-up of 52 months, uveitis emerged as a negative predictor of success. In the qualified success model, uveitic patients demonstrated survival rates of 90% at 1 year and 79% at 2 years compared with 100% for all time points in the control group (Wilcoxon test, p=0.005). Uveitic patients were more likely to require postoperative 5-FU injections than the control group (33% vs. 10%, p=0.04) and were more likely to require glaucoma medications postoperatively for IOP control (38% vs. 3%, p=0.001). INTERPRETATION: Uveitic glaucoma patients are more likely to require postoperative therapeutic interventions to maintain adequate pressure control in the short-term and are at higher risk of surgical failure in the long-term.
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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) | 0.000 | 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 it