Gonioscopy-Assisted Transluminal Trabeculotomy (GATT) in Postpenetrating Keratoplasty Steroid-induced Glaucoma: A Case Report
Bibliographic record
Abstract
Glaucoma following penetrating keratoplasty (PKP) remains the leading cause of blindness following PKP. Patients with post-PKP glaucoma can be managed medically and surgically. Evidence studying glaucoma surgical techniques following PKP is limited, but suggests the possibility for high-risk complications, including graft failure. Minimally invasive glaucoma surgeries offer an alternative. We report the first case of post-PKP glaucoma managed with gonioscopy-assisted transluminal trabeculotomy (GATT). The patient was a 33-year-old man with a history of keratoconus who underwent PKP in his right eye. On presentation, his visual acuity was 20/60 and intraocular pressure was 48 mm Hg OD. He underwent GATT and cataract phacoemulsification. Following 22 months of follow-up, the patient's visual acuity was 20/30 and intraocular pressure 13 mm Hg, off all glaucoma medications. This case demonstrates GATT may be a good surgical option for post-PKP glaucoma, given the ability to perform future incisional surgery and avoidance of high-risk complications associated with traditional glaucoma surgeries.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".