ArticleFrontiers in pediatrics2020
A Nomogram Model Identifies Eosinophilic Frequencies to Powerfully Discriminate Kawasaki Disease From Febrile Infections.
Article in Frontiers in pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Accuracy of Machine Learning in Discriminating Kawasaki Disease and Other Febrile Illnesses: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- IL-33 blockade attenuates vascular inflammation in a mouse model of Kawasaki disease vasculitis.Clinical and experimental immunology · 2026Article
- Interpretable web-based machine learning model for predicting intravenous immunoglobulin resistance in Kawasaki disease.Italian journal of pediatrics · 2025Article
- Development and validation of an explainable machine learning-based prediction model for primary Kawasaki disease complicated with coronary artery aneurysms.Translational pediatrics · 2025Article
- Machine learning for early diagnosis of Kawasaki disease in acute febrile children: retrospective cross-sectional study in China.Scientific reports · 2025Article
- Routine Laboratory Markers-Based Machine Learning Model for Predicting Severe Kawasaki Disease in Pediatric Patients.Journal of inflammation research · 2025Article
- Identifying the risk of Kawasaki disease based solely on routine blood test features through novel construction of machine learning models.Computational and structural biotechnology journal · 2025Article
- Comparison of Eosinophil Counts in Inflammatory Conditions: Multisystem Inflammatory Syndrome in Children, Kawasaki Disease, and Infectious Mononucleosis.Children (Basel, Switzerland) · 2024Article
- Exploring the diagnostic value of CLR and CPR in differentiating Kawasaki disease from other infectious diseases based on clinical predictive modeling.Frontiers in pediatrics · 2024Article
- Diagnosis, Progress, and Treatment Update of Kawasaki Disease.International journal of molecular sciences · 2023Review
- A machine learning model for distinguishing Kawasaki disease from sepsis.Scientific reports · 2023Article
- Use of Machine Learning to Differentiate Children With Kawasaki Disease From Other Febrile Children in a Pediatric Emergency Department.JAMA network open · 2023Article
- Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model.Scientific reports · 2023Article
- Article
- Expression of Eosinophilic Subtype Markers in Patients with Kawasaki Disease.International journal of molecular sciences · 2022Article
- Combination of Hemoglobin-for-Age Z-Score and Plasma Hepcidin Identified as a Novel Predictor for Kawasaki Disease.Children (Basel, Switzerland) · 2022Article
- An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease.Nature communications · 2022Article
- The Impact of Onset Age on Eosinophils in Kawasaki Disease.Biomedicines · 2022Article
- Near Infrared Spectroscopy Detects Change of Tissue Hemoglobin and Water Levelsin Kawasaki Disease and Coronary Artery Lesions.Children (Basel, Switzerland) · 2022Article
- Editorial: Genetic and Immunologic Response in Kawasaki Disease.Frontiers in pediatrics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.