Surgical Repair of a Persistent Full-Thickness Macular Fold With Base-to-Base Photoreceptor Apposition Secondary to Hypotony From Trabeculectomy Surgery and Postoperative Laser Suturelysis
Bibliographic record
Abstract
Purpose: To report the successful repair of a persistent full-thickness retinal fold secondary to hypotony from trabeculectomy surgery. Results: Laser suturelysis was performed on a patient to relieve an elevated intraocular pressure posttrabeculectomy surgery. This resulted in chronic hypotony, a full-thickness retinal fold, and a decline in visual acuity to “count fingers.” The patient underwent a pars plana vitrectomy with internal limiting membrane peeling, subretinal injection of balanced saline solution, fluid-air exchange, injection of F-Decalin, peripheral retinotomy, endolaser photocoagulation, and vitreous substitution with 15% C3F8 gas. Anatomic improvement was documented via multimodal imaging. Six months postoperatively best-corrected visual acuity (BCVA) returned to 20/30. Conclusions: We describe a surgical approach to full-thickness retinal folds and review the management options previously reported in the setting of hypotony. We provide support for the active management of appositional full-thickness retinal folds involving the fovea and demonstrate that surgical correction can significantly improve BCVA even after 4 months of hypotony.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".