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Record W2737961545 · doi:10.1177/0883073817718730

Moyamoya Disease in Children: Results From the International Pediatric Stroke Study

2017· article· en· W2737961545 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Child Neurology · 2017
Typearticle
Languageen
FieldMedicine
TopicMoyamoya disease diagnosis and treatment
Canadian institutionsHospital for Sick ChildrenAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMoyamoya diseaseMedicinePediatric strokeStroke (engine)PediatricsRevascularizationIncidence (geometry)DiseaseIschemic strokeInternal medicineCardiologyIschemia

Abstract

fetched live from OpenAlex

This study aimed to describe children with moyamoya disease from an international multicenter stroke database, and explore risk factors for stroke recurrence. We reviewed data of children >28-days old with moyamoya disease enrolled in the International Pediatric Stroke Study from January 2003 to March 2013. A total of 174 children from 32 sites and 14 countries had moyamoya disease; median age 7.4 years, 49% male. Of these, 90% presented with ischemic stroke, 7.5% with transient ischemic attack, and 2.5% with hemorrhagic stroke. One-third of patients had moyamoya syndrome. Stroke recurrence was 20% over median follow-up of 13 months; 9% had multiple recurrences. Children treated with surgical revascularization were less likely to have stroke recurrence ( P = .046). Moyamoya disease accounted for 8% of arterial strokes in this international pediatric stroke registry. One-third of pediatric patients with moyamoya disease have an underlying syndromic condition. Surgical revascularization is effective at reducing the incidence of stroke recurrence.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.276
Teacher spread0.263 · 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