Evidence map›Paper›PMID 40221756›Full record

ArticleItalian journal of pediatrics2025

A visualized nomogram to predict intravenous immunoglobulin resistance in Kawasaki disease: a study based on the population in Southern China.

Xinping Lin, Yunsong Li, Sihuang Chen, Shiteng Lin, Xiaoqing Yang, Wei Zhuang

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Article in Italian journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

6 authors.

Xinping Lin *Department of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, 10# Zhenhai Road, Xiamen, China.
Yunsong Li *Department of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, 10# Zhenhai Road, Xiamen, China.
Sihuang ChenDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, 10# Zhenhai Road, Xiamen, China.
Shiteng LinDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, 10# Zhenhai Road, Xiamen, China.
Xiaoqing YangDepartment of Pediatrics, Women and Children's Hospital, School of Medicine, Xiamen University, 10# Zhenhai Road, Xiamen, China. 37012051@qq.com.
Wei ZhuangDepartment of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, 10# Zhenhai Road, Xiamen, China. zhuangwei1333@xmu.edu.cn.ORCID http://orcid.org/0000-0002-1720-8882

Funding

High-Quality Development Science and Technology Project for Health and Wellness of Xiamen, China 2024GZL-QN002Young and Middle-aged Talent Cultivation Projects of Fujian Province, China 2024GGB27Young and Middle-aged Talent Cultivation Projects of Xiamen City, China 2024GZL-GG10
6 · The paper itself

Abstract

backgroundA significant proportion of Kawasaki disease (KD) patients suffer from intravenous immunoglobulin (IVIG) resistance after initial IVIG treatment, which results in persistent coronary artery injury. This study aimed to analyze the risk factors including coagulation indicators and develop a visualized nomogram model to early predict KD patients who would be at high risk of IVIG-resistant.

methodsConsecutive KD patients receiving standard dose of IVIG in Xiamen Women and Children's Hospital between April 2014 and June 2024 were included in the study. Baseline variables were analyzed using univariate logistic regression and multivariable logistic regression to identify the predictors of IVIG-resistance and derive a nomogram model for the assessment of IVIG-resistance in KD patients. The performance of the nomogram was evaluated with the area under curve (AUC) of receiver operating characteristic, calibration curve, and decision curve analysis.

resultsA total of 541 KD patients were finally enrolled in the present study, and 7.6% of KD patients suffered from IVIG-resistant. The predictive value of coagulation indicators for IVIG-resistance may be limited except for activated partial thromboplastin time (APTT). Other independent predictors include red blood cell count, globulin, Alanine aminotransferase, and weight. The training and testing sets of nomogram scored an AUC of 0.781 (95% CI, 0.688-0.874) and 0.749 (95% CI, 0.597-0.902). The nomogram was calibrated well, and the decision curve analysis showed that the nomogram would generate more net benefit when the threshold probabilities ranged from 10 to 70%.

conclusionA visualized nomogram model was constructed to accurately predict the risk of IVIG-resistance for KD patients, and APTT may be a potential predictor of IVIG-resistant.

Indexed as

Drug ResistanceImmunoglobulins, IntravenousMucocutaneous Lymph Node SyndromeNomogramsChild, PreschoolChinaFemaleHumansInfantMalePredictive Value of TestsRetrospective StudiesRisk FactorsImmunoglobulins, IntravenousActivated partial thromboplastin timeIntravenous immunoglobulin resistantKawasaki diseaseNomogram

Identifiers

PMID40221756
PMCPMC11994021

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LicenceCC BY-NC-ND
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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.