MétaCan
Menu
Back to cohort
Record W3039117875 · doi:10.7573/dic.2020-4-1

Kawasaki disease in siblings and a review of drug treatment

2020· review· en· W3039117875 on OpenAlex
Steven King-Fan Loo, Kam‐Lun Ellis Hon, Alexander K. C. Leung, Tak Cheung Yung, Man Ching Yam

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

VenueDrugs in Context · 2020
Typereview
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineAspirinDipyridamoleKawasaki diseaseAneurysmDiseaseCoronary artery aneurysmPediatricsCoronary artery diseaseDrugSurgeryInternal medicineArteryPharmacology

Abstract

fetched live from OpenAlex

We have managed two anonymized siblings with Kawasaki disease (KD). The occurrence of KD in the elder brother alerted us to the occurrence of incomplete KD in the younger brother. Both siblings were treated with intravenous immunoglobulin and a high dose of dipyridamole with resolution of the coronary artery aneurysm. Dipyridamole was used instead of aspirin because both siblings were glucose-6-phosphate dehydrogenase deficient for which aspirin was contraindicated. To prevent damage to the coronary arteries, treatment should be started as soon as the diagnosis is made. There have been a lot of advances in medical therapy in recent years, which are reviewed together with conventional proven therapy for KD. Early diagnosis and prompt treatment are important to achieve optimal treatment outcome in KD. Family history of KD among siblings enables clinicians for an earlier diagnosis so as to prevent the disease complications particularly in patients with incomplete features.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.046
GPT teacher head0.363
Teacher spread0.317 · 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