Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To report a series of eyes that developed malignant glaucoma after cataract surgery. SETTING: Private academic practice, Toronto, Ontario, Canada. DESIGN: Retrospective case series. METHODS: Eyes that developed malignant glaucoma after cataract surgery were treated with medical therapy. This was followed by laser iridozonulohyaloidotomy, anterior chamber reformation and intraocular lens (IOL) pushback, and finally with surgical iridozonulohyaloidovitrectomy if all other measures were unsuccessful. Refraction, intraocular pressure (IOP), gonioscopy, and anterior chamber depth (ACD) by anterior segment optical coherence tomography were analyzed before treatment and after treatment. RESULTS: The study evaluated 20 eyes of 18 female patients aged 44 to 86 years. Preoperatively, the mean refraction was +3.11 diopters (D) ± 2.89 (SD), the mean axial length was 21.30 ± 1.40 mm, and all eyes had narrow or closed angles. Malignant glaucoma was diagnosed a mean of 5.8 ± 7.1 weeks postoperatively. At diagnosis, the mean refraction was -2.15 ± 2.95 D; the mean ACD, 2.49 ± 0.72 mm; and the mean IOP, 28.3 ± 10.8 mm Hg on a mean of 1.3 ± 1.6 medications. Two eyes responded to cycloplegia, 7 to laser iridozonulohyaloidotomy, and 6 to anterior chamber reformation-IOL pushback; 5 eyes required vitrectomy. Posttreatment, the mean refraction was -0.56 ± 1.07 D; the mean ACD, 3.30 ± 0.50 mm; and the mean IOP, 14.4 ± 4.60 mm Hg on a mean of 1.2 ± 1.4 medications. Cycloplegia was discontinued in 17 eyes. CONCLUSION: Malignant glaucoma can occur after phacoemulsification and presents with myopic surprise, anterior chamber shallowing and, possibly, elevated IOP. FINANCIAL DISCLOSURE: No author has a financial or proprietary interest in any material or method mentioned.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 it