Evidence map›Paper›PMID 42211152›Full record

ArticleJournal of lipid and atherosclerosis2026

Association of Smoking Status and Urinary Cotinine Levels With Lipoprotein(a) in Korean Adults.

Byung Jin Kim, Youngwoo Jang, Jeong-Gyu Kang

Abstract read
In one paragraph

Article in Journal of lipid and atherosclerosis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Byung Jin KimDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9008-8506
Youngwoo JangDepartment of Cardiology, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-8802-268X
Jeong-Gyu KangCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3516-2822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Lipoprotein(a) (LP(a)) is a genetically regulated lipoprotein associated with cardiovascular disease. Although primarily heritable, the impact of modifiable factors such as smoking on LP(a) remains unclear, particularly when assessed using objective biomarkers like urinary cotinine. This study examined the association between smoking status-based on both self-reported and cotinine-verified measures-and LP(a) concentrations in Korean adults. Methods: We analyzed 146,129 participants (mean age, 37.1 years; 59.2% men) from the Kangbuk Samsung Health Study from 2011 to 2013. Smoking was defined by self-report (never, former, current) and urinary cotinine ≥50 ng/mL. Serum LP(a) was measured using an immunoturbidimetric assay, with high LP(a) defined as ≥50 mg/dL. Multivariable regression analyses adjusted for relevant covariates. Results: The median LP(a) level was 23.3 mg/dL (interquartile range, 13.4-39.2), and 16.0% of participants had high LP(a). Both cotinine-verified and self-reported current smokers had significantly lower LP(a) levels compared with non-smokers ( Conclusion: Both self-reported and cotinine-verified smoking status were inversely associated with serum LP(a) levels. Although causality cannot be established due to the cross-sectional design, these findings suggest a possible interaction between tobacco exposure and genetically determined LP(a) concentrations, highlighting the need for future longitudinal investigations.

Indexed as

Cigarette smokingCotinineEpidemiologyLipoprotein(a)

Identifiers

PMID42211152
PMCPMC13213261

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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.