Neurologic Outcome in Survivors of Childhood Arterial Ischemic Stroke and Sinovenous Thrombosis
Bibliographic record
Abstract
Ischemic stroke during infancy and childhood has the potential for life-long morbidity. Information on the neurologic outcome of children who survive ischemic stroke is lacking. Children surviving ischemic stroke between January 1, 1995 and July 1, 1999 were prospectively followed. Neurologic deficit severity was based on the Pediatric Stroke Outcome Measure (PSOM) developed in this study and parental response to two recovery questions. Predictor variables for poor outcome were tested. One-hundred twenty-three children with arterial ischemic stroke and 38 with sinovenous thrombosis were followed for a mean of 2.1 years (range, 0.8 to 6.6 years). The primary outcome based on PSOM assessment was: normal, 37%; mild deficit, 20%; moderate deficit, 26%; and severe deficit, 16%. The secondary outcome was full recovery in 45% of patients, based on parental response. The primary and secondary outcome measures were moderately correlated (P < .001; K = 0.5). In bivariate analysis, arterial stroke type, male gender, age of at least 28 days, presence of associated neurologic disorders, and need for rehabilitation therapy after stroke were predictors of poor outcome (P < .05). Multivariate analysis showed that only arterial ischemic stroke, associated neurologic disorders, and presence of rehabilitation therapy were independent predictors of poor outcome (P < .02). Poor outcome in children after ischemic stroke is therefore frequent and more likely in the presence of arterial stroke, rehabilitation therapy, and associated neurologic disorders, which justifies clinical trials of treatment strategies in childhood ischemic stroke.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".