Evidence map›Paper›PMID 41884020›Full record

ReviewWorld journal of clinical pediatrics2026

Advances in diagnostic prediction of coronary artery lesions in Kawasaki disease.

Ting Zhou, Yan Pan, Cai-Qiang Jiao

Abstract readReview
In one paragraph

Review in World journal of clinical pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ting ZhouDepartment of Pediatrics, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, Hubei Province, China.
Yan PanDepartment of Pediatrics, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, Hubei Province, China. woshipanyan@126.com.
Cai-Qiang JiaoSongzi Doctor Innovation Practice Workstation, Songzi 434200, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease (KD) is a systemic vasculitis of unknown etiology in children with coronary artery lesions (CALs) being its most concerning complication. Untimely diagnosis may lead to long-term cardiac damage and adult-onset cardiovascular disease. Researchers have long sought to identify risk factors for predicting high-risk CALs development in patients with KD. Domestic and international scholars have established scoring systems and predictive models to assess CAL risk based on these factors. This review summarized recent advances in four key areas: (1) Diagnostic prediction scoring systems; (2) Biomarker indicators; (3) Analytical methods; and (4) Predictive models for KD-associated cardiovascular complications, aiming to provide references for CAL prediction in KD.

Indexed as

Coronary artery lesionDiagnostic and predictive indicatorsDiagnostic prediction modelKawasaki diseaseRisk factors

Identifiers

PMID41884020
PMCPMC13010545

What OpenQuestion holds

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Registered trials

None linked

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.