Bibliographic record
Abstract
PURPOSE OF REVIEW: Stroke and cerebrovascular disorders in childhood are a cause for significant morbidity in childhood. There is growing emphasis on understanding the mechanisms of stroke so as to inform developments in investigation and management. RECENT FINDINGS: Advances have been made in the classification of pediatric stroke, aided by clinical and radiological recognition of patterns of injury and differential outcomes dependent on timing of stroke occurrence. Risk factors are multifactorial, with evidence of geographical and national variation. Causality, however, remains difficult to prove. Recent studies highlight a significant association between stroke recurrence and outcome and the presence of steno-occlusive arterial disease, Moyamoya disease and progressive arteriopathy. Focal arteriopathy of childhood is a new term proposed to refine the nomenclature of childhood arteriopathy. The association between infection and childhood stroke is increasingly recognized, with associations with sinovenous thrombosis and childhood arteriopathy. The recommendation to screen for arteriopathy in genetic conditions such as sickle cell disease is now extended to include children with neurofibromatosis type 1. Perfusion and magnetic resonance wall imaging have helped in the determination of the cause of stroke with impact on management in adults. Two new treatment guidelines have been published (American Heart Association and Chest), but barriers remain to the use of thrombolysis in childhood stroke. SUMMARY: Continued developments in understanding and practice in childhood stroke are encouraging. However, the absence of clinical trials and evidence-based guidelines is limiting. The conduct of such trials is a goal towards which the International Pediatric Stroke Study is moving.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".