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Stroke and the childʼs brain: an overview of epidemiology, syndromes and risk factors

2002· review· en· W2045132366 on OpenAlexaff
Gabrielle deVeber

Bibliographic record

VenueCurrent Opinion in Neurology · 2002
Typereview
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenSickKids Foundation
Fundersnot available
KeywordsStroke (engine)MedicinePediatric strokeNeuroimagingEpidemiologyPediatricsPopulationPsychiatryIschemic strokePathologyEnvironmental health

Abstract

fetched live from OpenAlex

Childhood stroke is emerging as a serious and frequent disorder. In contrast to adult stroke, the study of childhood stroke is in a very early stage of research development with no randomized controlled trials conducted to date outside of sickle cell stroke. The results of research in adults have limited applicability to children with stroke due to fundamental age-related differences in the neurological, cerebrovascular and coagulation systems. In recent years clinical and basic research studies have improved our understanding of childhood stroke. Population-based studies have resulted in an increased awareness of the frequencies and features of stroke syndromes in children. Cohort and case-control studies have led to an enhanced understanding of the multiple risk factors underlying childhood stroke. Advances in neuroimaging and in genetic and other laboratory testing approaches have resulted in an increased definition of stroke subtypes and risk factors.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.333
GPT teacher head0.448
Teacher spread0.115 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations90
Published2002
Admission routes1
Has abstractyes

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