Evidence map›Paper›PMID 40491085›Full record

ArticleJournal of Korean medical science2025

Population-Based Big Data Analysis on Disease Patterns in Patients Identified With Juvenile Idiopathic Arthritis Using National Claims Data.

Eun Jeong Min, Soo Hyun Lee, Joo-Young Jo, Jong Gyun Ahn, Dae Chul Jeong

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Eun Jeong MinDepartment of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-6199-4737
Soo Hyun LeeDivision of Medical, Pfizer Biopharmaceuticals Group, Pfizer Pharmaceuticals Korea Limited, Seoul, Korea.ORCID https://orcid.org/0000-0002-9664-6177
Joo-Young JoDivision of Medical, Pfizer Biopharmaceuticals Group, Pfizer Pharmaceuticals Korea Limited, Seoul, Korea.ORCID https://orcid.org/0009-0006-8490-389X
Jong Gyun AhnDepartment of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5748-0015
Dae Chul JeongDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea. dcjeong@catholic.ac.kr.ORCID https://orcid.org/0000-0003-0934-817X

Funding

Pfizer Pharmaceuticals Korea Ltd X9001310
6 · The paper itself

Abstract

backgroundThis study aimed to identify epidemiologic data, including prevalence and incidence, of patients with juvenile idiopathic arthritis (JIA) in accordance with the diseases diagnostic code and Rare Intractable Disease Registration (RIDR) code from the claims data of the Health Insurance Review and Assessment Service (HIRA), the representative secondary data in Korea.

methodsWe conducted a retrospective analysis of the national claims data of the HIRA. The study population included 1,728 patients with JIA who 1) had records with diagnostic codes in the format prescribed by the International Classification of Diseases, 10th Revision M08 and the RIDR code V133 between January 1, 2010, and December 31, 2019, and 2) were aged < 16 years as per the definition of JIA. We categorized the patients by age at diagnosis, annual prevalence, and incidence per 100,000 individuals for the study period. Moreover, the study population was stratified by age and gender for subgroup analysis.

resultsThe overall prevalence rate for the total, male, and female population was 15.9 (14.5-16.8), 15.4 (13.1-17.0), and 16.4 (15.9-16.9) per 100,000 individuals, respectively. Additionally, the overall incidence rate for the same populations was 2.2 (1.8-2.8), 2.3 (1.7-2.9), and 2.1 (1.8-2.6) per 100,000 individuals, respectively.

conclusionTo the best of our knowledge, this is the first study presenting the epidemiologic data, including prevalence and incidence, of patients with JIA using population-based claims big data in Korea. The results of this study will aid in understanding the current status of JIA in Korea and Asia and in health care planning.

Indexed as

Arthritis, JuvenileBig DataAdolescentChildChild, PreschoolDatabases, FactualFemaleHumansIncidenceInfantInsurance Claim ReviewMalePrevalenceRepublic of KoreaRetrospective StudiesIncidenceJuvenile Idiopathic ArthritisNational Claims DataPrevalence

Identifiers

PMID40491085
PMCPMC12148553

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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.