Thrombolysis in Acute Childhood Stroke: Design and Challenges of the Thrombolysis in Pediatric Stroke Clinical Trial
Bibliographic record
Abstract
BACKGROUND: Although tissue plasminogen activator (tPA) has revolutionized the treatment of acute ischemic stroke in adults, no thrombolysis trials in childhood stroke have been conducted. Experience in adults cannot be applied to children due to fundamental age-related differences in coagulation systems, stroke pathophysiology and neuropharmacology. Obstacles to acute treatment trials in childhood stroke include delays in diagnosis and minimizing risk in a vulnerable population. STUDY DESIGN: Thrombolysis in Pediatric Stroke (TIPS) is an international multicenter study to assess the safety of intravenous tPA within 0-3 h and intra-arterial tPA within 3-6 h of onset of arterial ischemic stroke in childhood. Through the International Pediatric Stroke Study, 30 international centers will enroll a total of 48 patients: 24 will be treated with intravenous tPA (0.6, 0.75, 0.9, and 1.0 mg/kg) using the classical dose-finding method, and 24 will be treated with intra-arterial tPA (maximum 0.2, 0.3, 0.4, and 0.5 mg/kg) using a Bayesian dose-finding method. CONCLUSION: The TIPS trial will be the first clinical trial exploring the safety and feasibility of systemic and local thrombolytic therapy in childhood stroke and the obstacles in conducting such a trial.
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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 | 0.217 | 0.156 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".