Pediatric Intracerebral Hemorrhage Management—Consensus Statement of the International Pediatric Stroke Organization—Part 1: Acute Phase and Workup
Bibliographic record
Abstract
Pediatric intracerebral hemorrhage (pICH) is a rare but serious neurologic emergency associated with significant morbidity. Although pICH accounts for nearly half of all pediatric strokes, it remains understudied, and dedicated evidence-based management guidelines are lacking. To address this gap, the International Pediatric Stroke Organization convened a multidisciplinary international working group in 2020 to develop a comprehensive, consensus-based framework for the acute evaluation and management of pICH in children aged 28 days to 18 years. The working group included child neurologists, neurointensivists, neurosurgeons, neuroradiologists, and neurointerventionalists. Subgroups conducted systematic literature reviews and formulated key clinical questions. A modified Delphi process was used to derive consensus statements across 6 domains: prehospital and emergency care, diagnostic imaging and workup, neurocritical care and medical management, neurosurgical and neurointerventional approaches, and identification of knowledge gaps. Through rounds of structured review and voting, 21 consensus statements were developed and approved. The process was endorsed by multiple professional societies. This represents the first international, multidisciplinary, multisociety consensus statement focused on the acute management of pICH in children. It provides structured, expert-driven guidance to inform clinical decision-making, reduce practice variability, and highlight areas for future research. These consensus statements aim to support clinicians worldwide in improving outcomes for children with pICH.
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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 | 0.071 | 0.099 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".