Poster Presentations
Bibliographic record
Abstract
Paediatric stroke remains a diagnosis not often considered among the list of differentials generated by most family physicians, paediatricians, and emergency physicians who encounter a child with acute focal neurological deficits.Despite increased awareness of paediatric stroke, acute paediatric stroke care lags behind adult stroke care.To date, no clinical trials have been conducted in paediatric stroke care.The need for specialized stroke care in children as well as the lack of information about childhood stroke prompted the development of a comprehensive Children's Stroke Program at Toronto's Hospital for Sick Children -the first in North America.In 1994, during its infancy, the Children's Stroke Program consisted of a monthly clinic that evolved into a weekly clinic.The stroke team consisted of a neurology nurse and neurologists who were soon joined by a social worker, physiotherapist and occupational therapist.Today, the program has evolved and consists of an acute inpatient program, weekly stroke prevention clinic, and an outcomes research program.With a team of three neurologists, two research fellows, a neuropsychologist, a staff nurse, an advanced practice nurse, and a research team, the program continues to grow.The formation of additional partnerships with paediatric sub-specialists including a neurosurgeon, neurointerventional radiologist, neuroradiologists, haematologists, paediatric intensivists, rheumatologists and an adult regional stroke centre has further strengthened the ability of the Stroke Program to enable earlier identification of paediatric stroke through the establishment of urgent neuroimaging protocols, hyper-acute and acute medical therapies.This presentation will discuss the evolution of the Paediatric Stroke Program at the Hospital for Sick Children including the successes, challenges, barriers and strategies experienced in the developmental process.We will also examine future directions.It is our hope that other paediatric health care centres who wish to develop an acute stroke program may learn from our experiences.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.770 | 0.488 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".