Kawasaki disease in siblings and a review of drug treatment
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".