Vitrectomy for Dense Vitreous Hemorrhage in Infancy
Bibliographic record
Abstract
PURPOSE: To report clinical data, including etiology and visual outcome, in newborns requiring vitrectomy for dense vitreous hemorrhage. METHODS: In this retrospective case series, we surveyed subscribers to the American Association for Pediatric Ophthalmology and Strabismus ListServe regarding patients under their care. RESULTS: A total of 28 eyes of 21 patients were included. Most common etiologies were thrombocytopenia, shaken baby syndrome, and birth trauma. In 9 cases (12 eyes), the vitreous hemorrhage was idiopathic. Mean time between diagnosis and surgery was 1.4 months. Complications included strabismus, cataract, glaucoma, high myopia, and retinal detachment. Recognition visual acuities were available for 8 eyes: 20/25 (2 eyes), 20/30, 20/40 (2 eyes), 20/60 (2 eyes), and 20/100. One eye had no light perception. CONCLUSIONS: The etiologies encountered in our patients were similar to those reported previously. Visual outcomes were much worse in cases with retinal complications. Other patients had better visual outcomes. Despite potential surgical and postoperative complications, this series demonstrates favorable visual outcomes can be achieved following early vitrectomy in this setting.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".