Evidence map›Paper›PMID 36727164›Full record

ArticleDiabetes & metabolism journal2023

Association between Low-Density Lipoprotein Cholesterol Level and Cardiovascular Outcomes in Korean Adults: A Nationwide Cohort Study.

Junghyun Noh, Min Kyong Moon, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun and 3 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

13 authors at 11 institutions in 1 country.

Junghyun NohDivision of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea.
Min Kyong MoonDepartment of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea.
Eun-Jung RheeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sang Hyun ParkDepartment of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Byung Jin KimDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hae Jin KimDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea.
Seonghoon ChoiDivision of Cardiology, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea.
Jin Oh NaCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.
Young Youl HyunDivision of Nephrology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Bum Joon KimDepartment of Neurology, Stroke Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul.
Kyung-Do HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
In-Kyung JeongDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea Korea.
Kangbuk Samsung Hospital · KRYonsei University · KRCatholic University of Korea · KRHallym University Kangnam Sacred Heart Hospital · KRInje University Ilsan Paik Hospital · KRKorea University Medical Center · KRKyung Hee University Hospital at Gangdong · KRSeoul National University · KRSoongsil University · KRUlsan College · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo validate the treatment target of low-density lipoprotein cholesterol (LDL-C) level according to the cardiovascular disease (CVD) risk which was recommended by Korean dyslipidemia guideline.

methodsWe used the Korean National Health Insurance Service database which included 3,958,048 people aged 20 to 89 years who underwent regular health screening. The primary outcome was incident CVD, defined as a composite of myocardial infarction and stroke during the follow-up period from 2009 to 2018.

resultsThe risk of CVD increased from LDL-C level of 70 mg/dL in very high-risk and high-risk groups and from 130 mg/dL in moderate-risk and low-risk groups. Adjusted hazard ratios (HRs) of LDL-C ranges 70-99, 100-129, 130-159, 160-189, and ≥190 mg/dL were 1.20 (95% confidence interval [CI], 1.08-1.33), 1.27 (1.15-1.42), 1.39 (1.23-1.56), 1.69 (1.45-1.96), and 1.84 (1.49- 2.27) in very high-risk group, and 1.07 (1.02-1.13), 1.16 (1.10-1.21), 1.29 (1.22-1.36), 1.45 (1.36-1.55), and 1.73 (1.58-1.90) in high-risk group. Adjusted HRs (95% CI) of LDL-C ranges 130-159, 160-189, and ≥190 mg/dL were 1.15 (1.11-1.20), 1.28 (1.22- 1.34), and 1.45 (1.36-1.54) in moderate-risk group and 1.07 (1.02-1.13), 1.20 (1.13-1.26), and 1.47 (1.37-1.57) in low-risk group.

conclusionWe confirmed the incidence of CVD was increased in higher LDL-C range. The risk of CVD increased from ≥70 mg/dL of LDL-C in very high-risk and high-risk groups, and from ≥130 mg/dL of LDL-C in moderate-risk and low-risk groups in Korean adults.

Indexed as

Cardiovascular DiseasesAdultCholesterol, LDLCohort StudiesHumansRepublic of KoreaRisk FactorsCholesterol, LDLCardiovascular diseasesCholesterolKoreaLDL

Identifiers

PMID36727164
PMCPMC9925149
OpenAlexW4318915281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.