Evidence map›Paper›PMID 40603454›Full record

ArticleScientific reports2025

Epidemiologic features and economic burden of Wilson's disease in South Korea: a nationwide analysis of the entire patient population.

Dong Eun Im, Hye-Young Kang

Abstract read
In one paragraph

Article in Scientific reports, 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Dong Eun ImDepartment of Pharmaceutical Medicine and Regulatory Sciences, College of Medicine and College of Pharmacy, Yonsei University, Incheon, South Korea.
Hye-Young KangCollege of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, 85 Songdogwahak-Ro, Yeonsu-Gu, Incheon, 21983, South Korea. hykang2@yonsei.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wilson's disease (WD) is a rare genetic disorder causing copper accumulation in the liver, brain, and other organs, causing severe health complications. While studies have assessed WD's economic impact, research on the financial burden of its complications remains limited. This study examines both the epidemiological characteristics and socioeconomic burden of WD by complication type using an all-cause cost-of-illness approach with 2019 claims data from the National Health Insurance Service of South Korea (NHIS). Among 1462 patients (prevalence: 0.028 per 1,000), complications were present in 68.7%, with hepatic (55.8%) being most common, followed by neurological (16.8%), psychiatric (13.9%), and hematological (6.8%). Disabilities affected 21.5% of patients, with 54.5% classified as severe. Annual hospitalization rates were 6.44% for WD-related and 19.36% for all-cause admissions, with WD-related hospitalizations averaging 4.38 per patient. Medication adherence was low (53.4% mean medication possession ratio). The societal perspective, the all-cause per-capita cost was $6297, totaling $9.21 million nationally. Neurological complications increased costs by 1.84 times, psychiatric by 1.64, and disabilities by 1.66. WD imposes a substantial socioeconomic burden in South Korea, primarily due to neurological and psychiatric complications and high hospitalization rates. Targeted prevention and effective management of these complications are essential to reduce costs and improve outcomes.

Indexed as

Cost of IllnessHepatolenticular DegenerationAdolescentAdultAgedChildChild, PreschoolFemaleHealth Care CostsHospitalizationHumansInfantMaleMiddle AgedPrevalenceRepublic of KoreaClaims dataCost of illnessDisorders of copper metabolismRare diseaseWilson’s disease

Identifiers

PMID40603454
PMCPMC12222851

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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.