Evidence map›Paper›PMID 42086940›Full record

ArticlePediatric research2026

Early risk stratification for coronary artery aneurysms in Kawasaki disease: a predictive modeling approach.

Khaled Saad, Shimaa Elwardany Aly, Amira Elhoufey, Wesam M Hussein, Mohamad-Hani Temsah, Ahmad Roshdy Ahmad, Mohamed Shawky Elfarargy, Rasha Refaat Mahmoud

Abstract read
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In one paragraph

Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Khaled SaadDepartment of Pediatrics, Faculty of Medicine, Assiut University, Assiut, Egypt. ksaad8@yahoo.com.ORCID http://orcid.org/0000-0002-8473-6116
Shimaa Elwardany AlyDepartment of Primary Care Nursing, Faculty of Nursing, Al-Ahliyya Amman University, Amman, Jordan.
Amira ElhoufeyDepartment of Community Health Nursing, Faculty of Nursing, Assiut University, Assiut, Egypt.
Wesam M HusseinChemistry Department, Faculty of Science, Islamic University of Madinah, Madinah, Saudi Arabia.
Mohamad-Hani TemsahDepartment of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Ahmad Roshdy AhmadDepartment of Pediatrics, College of Medicine, Jouf University, Sakaka, Saudi Arabia.
Mohamed Shawky ElfarargyDepartment of Pediatrics, College of Medicine, Jouf University, Sakaka, Saudi Arabia.
Rasha Refaat MahmoudDepartment of Pediatrics, Faculty of Medicine, Assiut University, Assiut, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

impactMedium-to-giant coronary artery aneurysms (MGCAA) are the most serious complication of Kawasaki disease. Early prediction is difficult with current risk scores lacking validation and not designed for MGCAA. A transparent model uses six clinical variables (hemoglobin, diagnosis time, mucosal changes, rash, triglycerides, neutrophil percentage), validated in two Chinese cohorts with simple recalibration for broader use. A web tool offers personalized risk assessments to guide monitoring and follow-up, supporting clinical decisions without fixed treatment thresholds.

Identifiers

PMID42086940

What OpenQuestion holds

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Registered trials

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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.