Evidence map›Paper›PMID 39175343›Full record

ArticleKorean circulation journal2024

Enhancing Familial Hypercholesterolemia Detection in South Korea: A Targeted Screening Approach Integrating National Program and Genetic Cascade Screening.

Jung-Ho Yang, Kyung Hoon Cho, Young Joon Hong, Ju Han Kim, Hye-Yeon Kim, Min-Ho Shin

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Article in Korean circulation journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Jung-Ho YangChonnam National University Hospital Cardio-Cerebrovascular Center, Gwangju, Korea.ORCID https://orcid.org/0000-0002-1581-8425
Kyung Hoon ChoChonnam National University Hospital Cardio-Cerebrovascular Center, Gwangju, Korea.ORCID https://orcid.org/0000-0002-0377-6352
Young Joon HongChonnam National University Hospital Cardio-Cerebrovascular Center, Gwangju, Korea.ORCID https://orcid.org/0000-0003-0192-8161
Ju Han KimChonnam National University Hospital Cardio-Cerebrovascular Center, Gwangju, Korea.ORCID https://orcid.org/0000-0002-3186-0770
Hye-Yeon KimDepartment of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea. hykim615@gmail.com.ORCID https://orcid.org/0000-0003-2446-9308
Min-Ho ShinChonnam National University Hospital Cardio-Cerebrovascular Center, Gwangju, Korea.ORCID https://orcid.org/0000-0002-2217-5624

Funding

Chonnam National University Medical School 2022-3395-0001
6 · The paper itself

Abstract

BACKGROUND AND

objectivesFamilial hypercholesterolemia (FH) increases the risk of premature cardiovascular disease through disrupted low-density lipoprotein cholesterol (LDL-C) metabolism. Although FH is a severe condition, it remains widely underdiagnosed, which can be attributed to barriers in genetic testing and a lack of awareness. This study aims to propose and evaluate a targeted screening program for FH in South Korea by integrating the General Health Screening Program (GHSP) with cascade genetic screening.

methodsThe study included individuals with LDL-C levels ≥190 mg/dL identified during the 2021 GHSP (primary participants). Data on demographics, lifestyle, medical history, and family history were collected through questionnaires. Targeted next-generation sequencing was used to identify pathogenic mutations in the

resultsAmong 83 individuals with severe hypercholesterolemia identified through the GHSP, 7 primary participants (8.4%) carried pathogenic mutations in the

conclusionsIntegrating community resources with FH screening can enhance the early detection and treatment of FH. By utilizing GHSP data and adding genetic screening, the proposed model provides a strategy to reduce the cardiovascular risks associated with FH, supporting its wider adoption at the national level.

Indexed as

HeredityHypercholesterolemiaMass screeningSequence analysis

Identifiers

PMID39175343
PMCPMC11569943

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LicenceCC BY-NC
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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.