Evidence map›Paper›PMID 41254069›Full record

ArticleScientific reports2025

Epidemiological trends and healthcare burden of Kawasaki disease in children under 5 years in Taiwan.

Wan-Fu Hsu, Yu-Han Huang, Fuu-Jen Tsai, Mei-Jy Jeng, Kai-Sheng Hsieh

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wan-Fu HsuDepartment of Pediatrics, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.
Yu-Han HuangManagement Office for Health Data, China Medical University Hospital, China Medical University, Taichung, 404327, Taiwan.
Fuu-Jen TsaiSchool of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan.
Mei-Jy JengInstitute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St. Beitou Dist., Taipei City, 112304, Taiwan. mjjeng@nycu.edu.tw.
Kai-Sheng HsiehCenter of Structure and Congenital Heart Disease/Ultrasound and Department of Cardiology, Children's Hospital, China Medical University, No. 2, Yude Road, North District, Taichung, 40447, Taiwan. kshsieh@hotmail.com.

Funding

China Medical University Hospital DMR-111-105; DMR-112-087;DMR-113-009; DMR-113-156Taiwan Ministry of Health and Welfare Clinical Trial Center MOHW113-TDU-B-212-114009Tri-Service General Hospital TSGH_E_114213
6 · The paper itself

Abstract

Kawasaki disease (KD) is a systemic pediatric vasculitis with a globally increasing incidence; however, its epidemiological trends in Taiwan remain inadequately characterized. This study aimed to examine the incidence and healthcare demands associated with KD, particularly refractory KD, among children under 5 years of age in Taiwan. A retrospective analysis of the National Health Insurance Research Database was conducted, identifying patients based on International Classification of Diseases codes and intravenous immunoglobulin (IVIG) treatment records from 2009 to 2020. Demographic and clinical characteristics were analyzed, and comparisons were made between refractory and non-refractory KD groups. The incidence of KD increased from 56.13 to 88.76 per 100,000 person-years during the study period, with higher rates observed among males and children younger than 2 years. Seasonal peaks occurred during warmer months, and a higher burden was noted in urbanized northern regions. Refractory KD accounted for 14.2% of cases and was associated with greater healthcare utilization, including additional IVIG courses, longer hospitalization; anticoagulant use (1.34% vs. 0.38%) and coronary angiography (1.26% vs. 0.49%) were higher but infrequent. These findings highlight the rising incidence and medical burden of KD in Taiwan, underscoring the importance of continued surveillance and optimized management strategies for affected children.

Indexed as

Mucocutaneous Lymph Node SyndromeChild, PreschoolCost of IllnessDatabases, FactualFemaleHospitalizationHumansImmunoglobulins, IntravenousIncidenceInfantInfant, NewbornMaleRetrospective StudiesTaiwanImmunoglobulins, IntravenousIncidenceKawasaki diseaseNational databaseRefractory

Identifiers

PMID41254069
PMCPMC12627600

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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.