Evidence map›Paper›PMID 27919356›Full record

Trial reportJournal of clinical lipidology

Lipoprotein(a)-cholesterol levels estimated by vertical auto profile correlate poorly with Lp(a) mass in hyperlipidemic subjects: Implications for clinical practice interpretation of Lp(a)-mediated risk.

Calvin Yeang, Paul C Clopton, Sotirios Tsimikas

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical lipidology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Review
  3. Lp(a) in the Horizon of Diagnostics and Therapy.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Does Elevated High-Density Lipoprotein Cholesterol Protect Against Cardiovascular Disease?The Journal of clinical endocrinology and metabolism · 2024
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Elevated Lipoprotein(a) Levels Lower ABCA1 Cholesterol Efflux Capacity.The Journal of clinical endocrinology and metabolism · 2019
    Article
  14. Article
  15. Article
  16. Review
  17. 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 at 1 institution in 1 country.

Calvin YeangDivision of Cardiovascular Diseases, Department of Medicine, Sulpizio Cardiovascular Center, University of California, La Jolla, CA, USA.
Paul C CloptonSan Diego Veteran's Administration Medical Center, La Jolla, CA, USA.
Sotirios TsimikasDivision of Cardiovascular Diseases, Department of Medicine, Sulpizio Cardiovascular Center, University of California, La Jolla, CA, USA. Electronic address: stsimikas@ucsd.edu.
University of California, San Diego · US

Funding

Blood Cells in Hemostasis and ThrombosisT32HL086344 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GINSBERG, MARK HOWARD · 2008 to 2023
$4.4M
Defining the Role of Lipoprotein(a) and its Oxidized Phospholipids in the Development and Progression of Calcific Aortic Valve Disease Using Unique Transgenic Mouse ModelsK08HL150271 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI YEANG, CALVIN · 2020 to 2024
$888k
NHLBI NIH HHS K08 HL150271
6 · The paper itself

Abstract

backgroundLipoprotein(a) [Lp(a)] is generally measured as total mass of the entire particle or as apolipoprotein(a) particle number.

objectiveThe cholesterol content of Lp(a) [Lp(a)-C)] can be estimated by the vertical auto profile (VAP) method. We assessed whether this is an accurate surrogate measurement of Lp(a) mass.

methodsVAP-Lp(a)-C and VAP-high density lipoprotein cholesterol (HDL-C) estimated by the VAP technique, Lp(a) mass, oxidized phospholipids on apolipoprotein B-100 (OxPL-apoB) that primarily reflect OxPL on Lp(a), and HDL-C measured by enzymatic methods were measured in 552 hypercholesterolemic patients at baseline and 24 weeks after therapy with niacin monotherapy (N = 118), ezetimibe/simvastatin monotherapy (n = 155), or ezetimibe/simvastatin (10/20 mg) + niacin (to 2 g) (N = 279) in a randomized, double-blind trial.

resultsVAP-Lp(a)-C correlated only modestly with Lp(a) mass at baseline (r = 0.56, P < .001) and 24 weeks (r = 0.56, P < .001), explaining only 31% of the association. VAP-Lp(a)-C correlated with HDL-C at baseline (r = 0.34, P < .001) and 24 weeks (r = 0.30, P < .001) and with VAP-HDL-C at baseline (r = 39, P < .001) and 24 weeks (r = 0.33, P < .001). In contrast, Lp(a) mass did not correlate with HDL-C at baseline (r = 0.06, P = .12) and 24 weeks (r = -0.01 P = .91). Lp(a) mass correlated strongly with oxidized phospholipids on apolipoprotein B-100 at baseline (r = 0.81, P < .001) and 24 weeks (r = 0.79, P < .001). VAP-Lp(a)-C levels increased linearly with HDL-C and VAP-HDL-C quartiles (P < .001 for both) but Lp(a) mass did not. Quantitating the percent of cholesterol present on Lp(a) by dividing VAP-Lp(a)-C by Lp(a) mass revealed that 25% of patients had a percentage >100, which is not possible.

conclusionsVAP-Lp(a)-C is a poor estimate for Lp(a) mass and likely reflects the content of HDL-C in the overlapping density spectrum of Lp(a) and HDL. These data suggest that patients with prior VAP-Lp(a)-C measurements may have misclassification of Lp(a)-related risk.

Indexed as

AdolescentAdultAgedAnticholesteremic AgentsApolipoprotein B-100Cholesterol, HDLDouble-Blind MethodDrug Therapy, CombinationEzetimibeFemaleHumansHyperlipoproteinemiasLipoprotein(a)MaleMiddle AgedNiacinAnticholesteremic AgentsApolipoprotein B-100Cholesterol, HDLEzetimibeLipoprotein(a)NiacinPhospholipidsSimvastatinTriglyceridesHDL-CholesterolLipoprotein(a)Lipoprotein(a)-cholesterolNiacinOxidized phospholipidsVAP

Identifiers

PMID27919356
PMCPMC8545497
OpenAlexW2523978462

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.