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Infectious associations in childhood Kawasaki Disease

2025· article· en· W7152029359 on OpenAlex
Kam Lun Hon, Alexander K.C. Leung, Alvin Cheung, Adolphus KT Chau

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

VenueCurrent Pediatric Reviews · 2025
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsKawasaki diseaseVasculitisDiseaseSystemic vasculitisInfectious disease (medical specialty)Autoimmune disease

Abstract

fetched live from OpenAlex

Kawasaki disease is a systemic vasculitis syndrome that is common in young children in the East, with potential life-threatening complications. Traditionally considered an autoimmune disease potentially triggered by infection without a specific causative pathogen, the increasing use of multiplexed PCR has allowed the association of infectious agents with Kawasaki disease to be determined. Here, we examined the clinical course of Kawasaki disease in six young children (age range: 3 months to 2 years) and discussed the laboratory findings and potential diagnostic pitfalls in these patients. We demonstrated that a diverse spectrum of respiratory and enteropathic pathogens could be found in the nasopharyngeal secretions or stool samples from these patients, confirming a strong correlation between infection and the initiation of this autoimmune process. Because the timely management of Kawasaki disease is important to prevent coronary aneurysms in these children, a high index of clinical suspicion is necessary to diagnose Kawasaki disease in the presence of unusual signs that emerge in a febrile child.

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: none
Teacher disagreement score0.516
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.356
Teacher spread0.327 · 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