Evidence map›Paper›PMID 40329788›Full record

ArticleJournal of Korean medical science2025

Natural History of Hypertrophic Cardiomyopathy in Korea: A Nationwide Population-Based Retrospective Cohort Study.

Shin Yi Jang, Wook Sung Kim, Sang-Chol Lee

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

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. Article
  2. Review
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.

Shin Yi JangDivision of Cardiology, Department of Medicine, Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4319-7029
Wook Sung KimDepartment of Thoracic and Cardiovascular Surgery, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7808-3385
Sang-Chol LeeDivision of Cardiology, Department of Medicine, Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. sc.lea@samsung.com.ORCID https://orcid.org/0000-0003-2176-0482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are few long-term large-scale epidemiologic studies on hypertrophic cardiomyopathy (HCM; 10th revision of the International Statistical Classification of Diseases and Related Health Problems codes: I42.1, I42.2). This analysis used the Korean National Health Insurance Service (KNHIS) data between 2006 and 2017 to evaluate the natural history of HCM over a decade.

methodsKNHIS data and death statistics were evaluated according to age, sex, socioeconomic position, and comorbidities. Survival rates (SRs) and adjusted hazard ratio (HR) were compared with death data of the Korean population from 2006 through 2018.

resultsThe mean age was 47.3 ± 14.9 years in males and 57.5 ± 15.4 years in females (

conclusionHCM in Korea showed a higher prevalence and incidence in males. The 10-year SR of HCM was approximately 70% and lower in females than that in males. The risk of death from HCM increased with age and was significantly higher in males, individuals with low income levels, and patients with various comorbidities. These findings should be considered for the long-term management and allocation of healthcare resources for patients with HCM.

Indexed as

Cardiomyopathy, HypertrophicAdolescentAdultAgedAged, 80 and overChildChild, PreschoolComorbidityFemaleHumansInfantInfant, NewbornMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaCardiomyopathyDeath RiskHypertrophicKoreaSurvival Rate

Identifiers

PMID40329788
PMCPMC12056062

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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.