Perinatal arterial ischemic stroke and periventricular venous infarction in infants with unilateral cerebral palsy
Bibliographic record
Abstract
AIM: To explore clinical factors associated with perinatal arterial ischemic stroke (AIS) and periventricular venous infarction (PVI) in infants who develop unilateral cerebral palsy (CP). METHOD: This was a case-control study. Data current to 2019 was extracted from the Canadian Cerebral Palsy Registry (CCPR). Cases were infants born at term with confirmed unilateral CP. Magnetic resonance images were stratified by expert review of reports as definitive perinatal stroke (AIS or PVI). Controls with common data elements were recruited from a population-based study in Alberta. Multivariable regression analyses were performed to estimate associations expressed as odds ratios with 95% confidence intervals. RESULTS: Of 2093 cases from the CCPR, 662 had unilateral CP, of whom 299 (45%) had perinatal stroke: AIS 169 (57%) and PVI 130 (43%). Median age at diagnosis for AIS was 11.9 months (interquartile range: 6.2-25.7mo; range 0.17-104.1mo), and 58.6% were male. Median age at diagnosis for PVI was 25.3 months (interquartile range: 14.5-38mo, range 0.7-114.7mo) and 57.7% were male. Independent associations for both AIS and PVI on multivariable analysis were chorioamnionitis, illicit drug exposure, diabetes, gestational age, and maternal age. Variables associated with AIS alone were low Apgar score and prolonged rupture of membranes. Variables associated with PVI alone were small for gestational age and primigravida. INTERPRETATION: Controlled analysis of disease-specific unilateral CP may offer unique perspectives on its pathophysiology. Acute intrapartum factors are mainly associated with AIS, while in utero factors are associated with PVI.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 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".