SPONTANEOUS RESOLUTION OF RETINOSCHISIS IN THE SETTING OF NARROW-ANGLE GLAUCOMA: A CASE REPORT
Bibliographic record
Abstract
PURPOSE: To present a rare case of retinoschisis in the setting of narrow-angle glaucoma that demonstrated spontaneous resolution with conservative management. METHODS: Case report presentation from the Vitreous Retina Macula Specialists of Toronto in December 2020. RESULTS: A 65-year-old woman with previous bilateral laser peripheral iridotomies for narrow-angle glaucoma was referred to a tertiary retina clinic for the assessment of query macular edema in the left eye. The patient presented with a blunted foveal reflex in the left eye, and optical coherence tomography imaging demonstrated diffuse retinoschisis of outer retinal layers in the peripapillary region and nasal macula. The patient elected for conservative management, and by 10-month follow-up, her retinoschisis resolved spontaneously. CONCLUSION: Only seven cases of retinoschisis in the setting of narrow-angle glaucoma have been identified in the literature. This is the first case in this setting to demonstrate spontaneous resolution with conservative management. Although laser peripheral iridotomies have been shown to resolve retinoschisis in narrow-angle glaucoma patients, clinicians should be aware of a conservative management approach to yield a positive improvement in retinal integrity.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".