Evidence map›Paper›PMID 35177190›Full record

Observational studyJournal of the American College of Cardiology2022

Repeat Measures of Lipoprotein(a) Molar Concentration and Cardiovascular Risk.

Mark Trinder, Kaavya Paruchuri, Sara Haidermota, Rachel Bernardo, Seyedeh Maryam Zekavat, Thomas Gilliland, James Januzzi, Pradeep Natarajan

Erratum issuedOpen access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American College of Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
17.4field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 90 citations in OpenAlex.

  1. Temporal changes in lipoprotein(a) after acute coronary syndrome.American journal of preventive cardiology · 2027
    Article
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  17. Lipoprotein(a) at a "Tipping Point": case to move to universal screening.American journal of preventive cardiology · 2025
    Review
  18. Observational
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Mark TrinderCentre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada; Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard, Cambridge, Massachusetts, USA. Electronic address: https://twitter.com/marketrinder.
Kaavya ParuchuriProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard, Cambridge, Massachusetts, USA; Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Sara HaidermotaProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard, Cambridge, Massachusetts, USA; Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Rachel BernardoCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Seyedeh Maryam ZekavatProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard, Cambridge, Massachusetts, USA; Computational Biology and Bioinformatics Program, Yale University, New Haven, Connecticut, USA.
Thomas GillilandProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard, Cambridge, Massachusetts, USA; Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
James JanuzziDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Pradeep NatarajanProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard, Cambridge, Massachusetts, USA; Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA. Electronic address: pnatarajan@mgh.harvard.edu.
Broad Institute · USHarvard University · US

Funding

Medical Scientist Training ProgramT32GM136651 · NIGMS · YALE UNIVERSITY · PI BARBARA I KAZMIERCZAK · 2020 to 2026
$16.5M
MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
Using genetic variation to study biology of blood lipids & coronary heart diseaseR01HL127564 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Pradeep Natarajan, Gina Marie Peloso · 2015 to 2026
$7.3M
Clonal hematopoiesis in the Womens Health Initiative Memory StudyR01HL148565 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ALEXANDER P REINER, Eric A. Whitsel · 2019 to 2026
$5.9M
Clonal hematopoiesis in humans: determinants of development and progressionR01HL148050 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, NATARAJAN, PRADEEP · 2019 to 2022
$5.9M
Multidisciplinary Training Program in Cardiovascular EpidemiologyT32HL125232 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Matthew G. Nayor, Vanessa Xanthakis · 2016 to 2026
$5.0M
Whole genome sequences in individuals to comprehensively characterize the genetic mechanisms of dyslipidemiasR01HL142711 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Satoshi Koyama, Gina Marie Peloso · 2019 to 2026
$4.7M
Dissecting the impact of clonal hematopoiesis on atherosclerosis using multiscale 'omicsF30HL149180 · NHLBI · YALE UNIVERSITY · PI ZEKAVAT, SEYEDEH MARYAM · 2019 to 2021
$138k
NHLBI NIH HHS F30 HL149180NHLBI NIH HHS R01 HL127564NHLBI NIH HHS R01 HL142711NHLBI NIH HHS R01 HL148050NHLBI NIH HHS R01 HL148565NHLBI NIH HHS T32 HL007208NHLBI NIH HHS T32 HL125232NIGMS NIH HHS T32 GM136651
6 · The paper itself

Abstract

backgroundWhen indicated, guidelines recommend measurement of lipoprotein(a) for cardiovascular risk assessment. However, temporal variability in lipoprotein(a) is not well understood, and it is unclear if repeat testing may help refine risk prediction of coronary artery disease (CAD).

objectivesThe authors examined the stability of repeat lipoprotein(a) measurements and the association between instability in lipoprotein(a) molar concentration with incident CAD.

methodsThe authors assessed the correlation between baseline and first follow-up measurements of lipoprotein(a) in the UK Biobank (n = 16,017 unrelated individuals). The association between change in lipoprotein(a) molar concentration and incident CAD was assessed among 15,432 participants using Cox proportional hazards models.

resultsBaseline and follow-up lipoprotein(a) molar concentration were significantly correlated over a median of 4.42 years (IQR: 3.69-4.93 years; Spearman rho = 0.96; P < 0.0001). The correlation between baseline and follow-up lipoprotein(a) molar concentration were stable across time between measurements of <3 (rho = 0.96), 3-4 (rho = 0.97), 4-5 (rho = 0.96), and >5 years (rho = 0.96). Although there were negligible-to-modest associations between statin use and changes in lipoprotein(a) molar concentration, statin usage was associated with a significant increase in lipoprotein(a) among individuals with baseline levels ≥70 nmol/L. Follow-up lipoprotein(a) molar concentration was significantly associated with risk of incident CAD (HR per 120 nmol/L: 1.32 [95% CI: 1.16-1.50]; P = 0.0002). However, the delta between follow-up and baseline lipoprotein(a) molar concentration was not significantly associated with incident CAD independent of follow-up lipoprotein(a) (P = 0.98).

conclusionsThese findings suggest that, in the absence of therapies substantially altering lipoprotein(a), a single accurate measurement of lipoprotein(a) molar concentration is an efficient method to inform CAD risk.

Indexed as

Heart Disease Risk FactorsAdultAgedBiomarkersCardiovascular DiseasesCohort StudiesFemaleFollow-Up StudiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLipoprotein(a)MaleMiddle AgedProspective StudiesBiomarkersHydroxymethylglutaryl-CoA Reductase InhibitorsLipoprotein(a)coronary artery diseaselipoprotein(a)longitudinalLp(a)repeat testing

Identifiers

PMID35177190
PMCPMC8863206
OpenAlexW4213030116

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
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.