Occult wound leak diagnosed by ultrasound biomicroscopy in patients with postoperative hypotony
Bibliographic record
Abstract
PURPOSE: To describe the ability of high-frequency ultrasound biomicroscopy (UBM) to diagnose occult wound leaks as a cause for hypotony after cataract surgery. METHODS: Six patients with persistent hypotony after cataract surgery were sent for UBM examination. Slitlamp examination and gonioscopy of the 6 eyes had not revealed a cause for the hypotony. RESULTS: Ultrasound biomicroscopy showed subtle wound separation with shallow conjunctival elevation at the site of the cataract wound in the 6 patients. Two eyes had surgical repair of the subconjunctival wound leak, and the other 4 were treated medically. In the 2 eyes with surgically repaired wounds, the hypotony cleared after wound closure. Of the 4 medically treated eyes, hypotony resolved in 2 and 1 had a recurrence of hypotony. The other 2 eyes had fluctuating intraocular pressure for an extended period. CONCLUSIONS: Hypotony after cataract surgery occurred in 6 eyes due to subtle wound leaks difficult to detect by clinical observation. Ultrasound biomicroscopy can be a helpful aid to clinical examination in detecting these leaks.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".