Cranial Ultrasonography Has a Low Sensitivity for Detecting Arterial Ischemic Stroke in Term Neonates
Bibliographic record
Abstract
The aim of this study was to investigate the sensitivity of cranial ultrasonography for detecting acute arterial ischemic stroke in term neonates. Thirty-six neonates with gestational age > or = 36 weeks who had cranial ultrasonography followed by computed tomography (CT) or magnetic resonance imaging (MRI) confirming arterial ischemic stroke were identified from a consecutive cohort study of all children diagnosed with arterial ischemic stroke by CT or MRI and seen at Chedoke McMaster Hospital between January 1992 and December 1998 or at The Hospital for Sick Children between January 1992 and December 2000. Cranial ultrasonography demonstrated focal abnormalities in 11 patients, giving the initial cranial ultrasonography a sensitivity of 30.56% for identifying neonates with infarction (95% CI 15.5-45.5%). The sensitivity of cranial ultrasonography performed in the two pediatric referral centers (Chedoke McMaster Hospital and Hospital for Sick Children; n = 19) was higher than that in community hospitals (n = 17) (47.3% versus 11.7%; P =.031). Neonates with suspected infarction should be evaluated with CT or MRI.
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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 | 0.005 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".