Neovascular Glaucoma Progress and Impact of Therapeutic Intervention in Saudi Arabia
Bibliographic record
Abstract
PURPOSE: This study aimed to present the outcomes of the therapeutic interventions for neovascular glaucoma (NVG) between 2002 and 2012 at a tertiary eye hospital in Saudi Arabia. METHODS: A retrospective chart review of the patients with NVG treated in the last 10 years at King Khaled Eye Specialist Hospital was carried out. The demographics, visual acuity, and intraocular pressure (IOP) at the baseline were compared to that, at last, follow-up. The clinical course of treated eyes and causes for poor vision were reviewed. RESULTS: Among 597 eyes with NVG, the mean IOP at presentation was 32 mmHg. A total of 335 eyes (56.1%) were treated with pan-retinal photocoagulation (PRP). In 459 (77%) eyes, IOP was controlled with medications or different surgeries. The vision on the last follow-up was 20/20 to 20/40 in 19 (3%) eyes, 20/50 to 20/200 in 67 (11%) eyes, <20/200 to 20/400 in 267 (45%) eyes, and <20/400 in 225 (38%) eyes. Nineteen eyes were soft/enucleated. In 45 (8%, 95% CI 6-10) eyes vision improved. The IOP was reduced to <22 mmHg in 369 (62%, 95% CI 58.2-65.9) eyes, 23-30 mmHg in 69 (12%) eyes and was > 31 mmHg in 102 (17%) eyes. In 26 (3.7%) eyes, ocular hypotony was noted. The causes of poor vision included retinal ischemia (n=75, 13%), optic nerve head cupping (n=104, 17%), retinal detachment (n= 42, 7%) and other (n=17, 3%). CONCLUSION: The NVG is a serious ocular ischemic complication. Prompt therapy maintained or improved the vision and controlled IOP in 50% and more cases.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".