Malignant Middle Cerebral Artery Infarction in Children
Bibliographic record
Abstract
Background Large hemispheric strokes have a high risk of fatal cerebral edema and brain herniation also known as “Malignant infarction of the middle cerebral artery” (MIMCA),this is a severe complication of arterial ischemic stroke seen in the adult population. The description of malignant MCA stroke syndrome in the pediatric population is very scarce(1,2). Objectives D escribe the most common clinical, radiological and electrographic features associated with malignant MCA syndrome at the Hospital for Sick Children Methods P atients with a diagnosis of arterial ischemic stroke. A retrospective review of the clinical and radiological findings was performed , from a prospectively collected patients throughout the stroke database at the Hospital for Sick Children. Results We identified 117 children carrying the diagnosis of stroke at the Stroke Program at the Hospital for Sick Children in Toronto, ON Canada from January 2005 to September 2012. . Among these, 69 (58%) had MCA territory involvement. We identified 12 (17%) patients that developed malignant MCA syndrome. The mean age was 6.7 years (range from 0.08 to 15). Conclusion Malignant cerebral edema, is a severe complication of infarcts involving the middle cerebral artery territory. These patients have a more severe deficit on presentation and also prolonged seizures . Large territorial infarcts, and proximal artery occlusion is also seen in these patients. The early recognition of these findings, could be helpful for clinicians in order to identify patients at risk.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".