Predictors of Quality of Life in Pediatric Survivors of Arterial Ischemic Stroke and Cerebral Sinovenous Thrombosis
Bibliographic record
Abstract
Predictors of quality of life can define potentially modifiable factors to increase favorable outcomes after pediatric stroke. Quality of life was measured using the Centre for Health Promotion's Quality of Life Profile (CHP-QOL) in 112 children surviving arterial ischemic stroke or cerebral sinovenous thrombosis at mean 3 years after stroke. Overall quality of life was poor in 17.8% children despite mean scores (3.52) in the "adequate" range. Quality of life related to school and play was most problematic and that related to physical and home environment was least problematic. Female gender, cerebral sinovenous thrombosis stroke, and older age at testing predicted reduced overall and domain-specific quality of life (P < .05), whereas neurological outcome and family socioeconomic status did not. Cognitive/behavioral deficit and low Verbal IQ adversely affected socialization and quality of life, especially among older children and females. Altered cognition/behavior has a major impact on quality of life after pediatric stroke. Implementation of ameliorative strategies warrants further study.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".