Evidence map›Paper›PMID 42264991›Full record

ArticleJournal of clinical lipidology2026

Correlation between serum and plasma lipoprotein(a) measurements: ARIC study.

Yakubu Bene-Alhasan, Caroline Sun, Arsalan Hamid, Vijay Nambi, Misa Graff, Christy L Avery, Christie M Ballantyne, Ron C Hoogeveen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical lipidology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Yakubu Bene-AlhasanSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA (Bene-Alhasan, Sun, Hamid, Nambi, Ballantyne, and Hoogeveen).
Caroline SunSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA (Bene-Alhasan, Sun, Hamid, Nambi, Ballantyne, and Hoogeveen).
Arsalan HamidSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA (Bene-Alhasan, Sun, Hamid, Nambi, Ballantyne, and Hoogeveen).
Vijay NambiSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA (Bene-Alhasan, Sun, Hamid, Nambi, Ballantyne, and Hoogeveen).
Misa GraffDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA (Graff and Avery).
Christy L AveryDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA (Graff and Avery).
Christie M BallantyneSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA (Bene-Alhasan, Sun, Hamid, Nambi, Ballantyne, and Hoogeveen). Electronic address: cmb@bcm.edu.
Ron C HoogeveenSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA (Bene-Alhasan, Sun, Hamid, Nambi, Ballantyne, and Hoogeveen).

Funding

THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
Phenotypic consequences of lipoprotein(a) in diverse populationsR01HL172887 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christy Leigh Avery, Mariaelisa Graff · 2025 to 2026
$2.9M
NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS R01 HL172887
6 · The paper itself

Abstract

backgroundLipoprotein(a) [Lp(a)] is recommended for atherosclerotic cardiovascular disease (ASCVD) risk assessment and is targeted by new drugs in development. However, the association of Lp(a) with ASCVD was identified from epidemiologic studies that typically used plasma samples.

objectiveTo determine the agreement between serum- and plasma-based Lp(a) measurements.

methodsWe measured Lp(a) in both EDTA plasma and serum using the same validated, isoform-insensitive assay in 100 Atherosclerosis Risk in Communities participants equally distributed across age, sex, race, and Lp(a) levels (0 to >200 nmol/L). We assessed correlation (Spearman), mean differences, and bias (Deming regression).

resultsThe correlation between serum and plasma was excellent (Spearman's r = 0.99). Deming regression yielded a slope of 1.05 (95% CI 1.03, 1.08) and an intercept of 0.26 nmol/L (95% CI -1.97, +2.41). Bland-Altman analysis identified no statistically significant mean difference (serum minus plasma: +7.7 nmol/L [95% CI -16.7, +32.0]).

conclusionWe demonstrated excellent agreement between serum and plasma Lp(a), supporting the use of either specimen for Lp(a) measurement and pooling data from both sources.

Indexed as

Lipoprotein(a)AtherosclerosisFemaleHumansMaleMiddle AgedLipoprotein(a)atherosclerosis risk in communitiesBland–AltmanDeming regressionLipoprotein(a)plasmaserum

Identifiers

PMID42264991
PMCPMC13340751

What OpenQuestion holds

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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.