Evidence map›Paper›PMID 37607461›Full record

ArticleAtherosclerosis2023

Lipoprotein(a) and the pooled cohort equations for ASCVD risk prediction: The Multi-Ethnic Study of Atherosclerosis.

Harpreet S Bhatia, Rishi Rikhi, Tara S Allen, Calvin Yeang, Weihua Guan, Parveen K Garg, Michael Y Tsai, Michael H Criqui, Michael D Shapiro, Sotirios Tsimikas

Open access · bronzeAbstract read
In one paragraph

Article in Atherosclerosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
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  8. Article
  9. Article
  10. Lipoprotein (a) in primary cardiovascular disease prevention is actionable today.American heart journal plus : cardiology research and practice · 2025
    Review
  11. Observational
  12. Article
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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

10 authors at 5 institutions in 1 country.

Harpreet S BhatiaDivision of Cardiology, Department of Medicine, University of California San Diego, La Jolla, CA, USA.
Rishi RikhiSection on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Tara S AllenDivision of Preventive Medicine, Department of Family Medicine, University of California, San Diego, La Jolla, CA, USA.
Calvin YeangDivision of Cardiology, Department of Medicine, University of California San Diego, La Jolla, CA, USA.
Weihua GuanDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Parveen K GargDivision of Cardiology, Department of Medicine, University of Southern California, Los Angeles, CA, USA.
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Michael H CriquiDivision of Cardiology, Department of Medicine, University of California San Diego, La Jolla, CA, USA; Division of Preventive Medicine, Department of Family Medicine, University of California, San Diego, La Jolla, CA, USA.
Michael D ShapiroSection on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Sotirios TsimikasDivision of Cardiology, Department of Medicine, University of California San Diego, La Jolla, CA, USA. Electronic address: stsimikas@health.ucsd.edu.
University of California San Diego · USUniversity of Minnesota · USWake Forest University · USUC San Diego Health System · USUniversity of Southern California · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
UC San Diego Clinical and Translational Research InstituteKL2TR001444 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2024
$15.4M
CVD Epidemiology Training ProgramT32HL076132 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAVID McLeod HERRINGTON · 2004 to 2026
$8.4M
UCSD Integrated Cardiovascular Epidemiology FellowshipT32HL079891 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Matthew A Allison · 2007 to 2026
$6.7M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
TO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
$4.5M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI PANKOW, JAMES S · 2020 to 2025
$4.4M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00003 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY S · 2020 to 2025
$3.8M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00007 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BERTONI, ALAIN GERALD · 2020 to 2025
$3.5M
NCATS NIH HHS KL2 TR001444NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS K08 HL166962NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL159156NHLBI NIH HHS T32 HL076132NHLBI NIH HHS T32 HL079891
6 · The paper itself

Abstract

BACKGROUND AND

aimsLipoprotein(a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD) but is not included in the Pooled Cohort Equations (PCE). We aimed to assess how well the PCE predict 10-year event rates in individuals with elevated Lp(a), and whether the addition of Lp(a) improves risk prediction.

methodsWe compared observed versus PCE-predicted 10-year ASCVD event rates, stratified by Lp(a) level and ASCVD risk category using Poisson regression, and evaluated the association between Lp(a) > 50 mg/dL and ASCVD risk using Cox proportional hazards models in the Multi-Ethnic Study of Atherosclerosis (MESA). We evaluated the C-index and net reclassification improvement (NRI) with addition of Lp(a) to the PCE.

resultsThe study population included 6639 individuals (20%, n = 1325 with elevated Lp(a)). The PCE accurately predicted 10-year event rates for individuals with elevated Lp(a) with observed event rates falling within predicted limits. Elevated Lp(a) was associated with increased risk of CVD events overall (HR 1.27, 95% CI 1.00-1.60), particularly in low (HR 2.45, 95% CI 1.40-4.31), and high-risk (HR 1.41, 95% CI 1.02-1.96) individuals. Continuous NRI (95% CI) with the addition of Lp(a) to the PCE for CVD was 0.0963 (0.0158-0.1953) overall, and 0.2999 (0.0876, 0.5525) among low-risk individuals.

conclusionsThe PCE performs well for event rate prediction in individuals with elevated Lp(a). However, Lp(a) is associated with increased CVD risk, and the addition of Lp(a) to the PCE improves risk prediction, particularly among low-risk individuals. These results lend support for increasing use of Lp(a) testing for risk assessment.

Indexed as

AtherosclerosisLipoprotein(a)HumansRisk AssessmentRisk FactorsLipoprotein(a)ASCVDCardiovascular diseaseLipoprotein(a)PCERisk prediction

Identifiers

PMID37607461
PMCPMC10659123
OpenAlexW4385708452

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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.