Choices in the 1990s for the Management of Pediatric Cerebral Arteriovenous Malformations
Bibliographic record
Abstract
A retrospective 45-year analysis of the management of 160 children with intracranial arteriovenous malformations at The Hospital for Sick Children, Toronto, reveals substantially improving outcomes which relate to more efficient diagnoses and treatments. 80% of children will declare their malformation by means of spontaneous intracranial hemorrhage. For those children who present with hemorrhage or epilepsy, 80% will require an operation. The overall mortality rate has declined to 12% since 1975 and that for the cerebellar lesions from 67 to 42%. 53% of the patients operated upon will be neurologically normal. Endovascular embolization of a child's AVM is a customized, partial solution for a limited number of children. Stereotactic radiosurgery will be used increasingly to obliterate those small lesions in children which are unassociated with hemorrhage or are the residua of an operation. As many as 10% of children (15/160) with diagnosed AVMs cannot be helped with operative or other interventional therapies. The recognition of the pediatric stroke syndromes, the early triage and diagnosis of a child's cerebral hemorrhage, the operative and anaesthetic technologies and the adjunct therapies - choices of the nineties - have resulted in a 66% decline in the overall mortality from this vascular lesion as well as greater assuredness that for most the lesion can be permanently obliterated.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".