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Record W2766413609 · doi:10.1111/1756-185x.13219

Myocarditis and Kawasaki disease

2017· review· en· W2766413609 on OpenAlexaff
Audrey Dionne, Nagib Dahdah

Bibliographic record

VenueInternational Journal of Rheumatic Diseases · 2017
Typereview
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineMyocarditisKawasaki diseaseCardiologyInternal medicineVasculitisAspirinDiastoleCoronary artery diseaseArteryDiseaseBlood pressure

Abstract

fetched live from OpenAlex

Kawasaki disease (KD) is the most common vasculitis of childhood. Coronary artery aneurysms and myocarditis are common cardiovascular complications of KD. While evidence of myocarditis can be found in all patients with KD on histology specimens, only a minority of patients are clinically symptomatic. Occasionally children can present with KD shock syndrome and hemodynamic instability as a result of decreased systolic function and vasoplegia. Several children with KD have depressed shortening fraction on echocardiography. Increased end-systolic and end-diastolic dimensions, strain abnormalities and diastolic dysfunction are also found in a significant proportion of patients. Echocardiographic signs of myocarditis improve after the acute phase and do so more quickly in patients who have received intravenous immunoglobulins, as opposed to those given only aspirin. Normalization of systolic function is typically observed over long-term follow-up; however, more subtle abnormalities (strain, diastolic function) may persist. It is noteworthy that myocarditis associated with KD can occur in absence of coronary artery abnormalities. KD myocarditis can result in long-term sequelae.

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)0.000
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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.113
GPT teacher head0.445
Teacher spread0.332 · 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

Citations97
Published2017
Admission routes1
Has abstractyes

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