Evidence map›Paper›PMID 36691918›Full record

ArticleCirculation research2023

Apolipoprotein Proteomics for Residual Lipid-Related Risk in Coronary Heart Disease.

Robert Clarke, Adam Von Ende, Lukas E Schmidt, Xiaoke Yin, Michael Hill, Alun D Hughes, Raimund Pechlaner, Johann Willeit, Stefan Kiechl, Hugh Watkins and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Circulation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
12.7field-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

27 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
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  7. Proteomics profiling for cardiovascular risk prediction: transforming clinical care.European heart journal. Acute cardiovascular care · 2026
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  15. Frontiers in pharmacology · 2025
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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

14 authors at 6 institutions in 4 countries.

Robert ClarkeClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (R.C., A.V.E., M.H., J.C.H.).ORCID 0000-0002-9802-8241
Adam Von EndeClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (R.C., A.V.E., M.H., J.C.H.).ORCID 0000-0003-0000-5664
Lukas E SchmidtKing's British Heart Foundation Centre, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, United Kingdom (L.E.S., X.Y., K.T., M.M.).ORCID 0000-0001-7565-1455
Xiaoke YinKing's British Heart Foundation Centre, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, United Kingdom (L.E.S., X.Y., K.T., M.M.).ORCID 0000-0002-5172-0935
Michael HillClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (R.C., A.V.E., M.H., J.C.H.).ORCID 0000-0002-3861-6105
Alun D HughesMRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, United Kingdom (A.D.H.).ORCID 0000-0001-5432-5271
Raimund PechlanerDepartment of Neurology, Medical University of Innsbruck, Austria (R.P., J.W., S.K.).ORCID 0000-0001-9006-5606
Johann WilleitDepartment of Neurology, Medical University of Innsbruck, Austria (R.P., J.W., S.K.).
Stefan KiechlDepartment of Neurology, Medical University of Innsbruck, Austria (R.P., J.W., S.K.).ORCID 0000-0002-9836-2514
Hugh WatkinsDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, United Kingdom (H.W.).ORCID 0000-0002-5287-9016
Konstantinos TheofilatosKing's British Heart Foundation Centre, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, United Kingdom (L.E.S., X.Y., K.T., M.M.).ORCID 0000-0001-6799-0553
Jemma C Hopewell *Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (R.C., A.V.E., M.H., J.C.H.).ORCID 0000-0002-3870-8018
Manuel Mayr *King's British Heart Foundation Centre, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, United Kingdom (L.E.S., X.Y., K.T., M.M.).ORCID 0000-0002-0597-829X
PROCARDIS Consortium
British Heart Foundation · GBDepartamento de Epidemiología · GTInnsbruck Medical University · ATMRC Unit for Lifelong Health and Ageing · GBNuffield Health · GBUniversity of Oxford · GB

Funding

British Heart Foundation CH/16/3/32406British Heart Foundation CH/1996001/9454British Heart Foundation CS/13/1/30327British Heart Foundation FS/14/55/30806British Heart Foundation PG/20/10387British Heart Foundation RG/F/21/110053British Heart Foundation SP/19/2/34462
6 · The paper itself

Abstract

backgroundRecognition of the importance of conventional lipid measures and the advent of novel lipid-lowering medications have prompted the need for more comprehensive lipid panels to guide use of emerging treatments for the prevention of coronary heart disease (CHD). This report assessed the relevance of 13 apolipoproteins measured using a single mass-spectrometry assay for risk of CHD in the PROCARDIS case-control study of CHD (941 cases/975 controls).

methodsThe associations of apolipoproteins with CHD were assessed after adjustment for established risk factors and correction for statin use. Apolipoproteins were grouped into 4 lipid-related classes [lipoprotein(a), low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides] and their associations with CHD were adjusted for established CHD risk factors and conventional lipids. Analyses of these apolipoproteins in a subset of the ASCOT trial (Anglo-Scandinavian Cardiac Outcomes Trial) were used to assess their within-person variability and to estimate a correction for statin use. The findings in the PROCARDIS study were compared with those for incident cardiovascular disease in the Bruneck prospective study (n=688), including new measurements of Apo(a).

resultsTriglyceride-carrying apolipoproteins (ApoC1, ApoC3, and ApoE) were most strongly associated with the risk of CHD (2- to 3-fold higher odds ratios for top versus bottom quintile) independent of conventional lipid measures. Likewise, ApoB was independently associated with a 2-fold higher odds ratios of CHD. Lipoprotein(a) was measured using peptides from the Apo(a)-kringle repeat and Apo(a)-constant regions, but neither of these associations differed from the association with conventionally measured lipoprotein(a). Among HDL-related apolipoproteins, ApoA4 and ApoM were inversely related to CHD, independent of conventional lipid measures. The disease associations with all apolipoproteins were directionally consistent in the PROCARDIS and Bruneck studies, with the exception of ApoM.

conclusionsApolipoproteins were associated with CHD independent of conventional risk factors and lipids, suggesting apolipoproteins could help to identify patients with residual lipid-related risk and guide personalized approaches to CHD risk reduction.

Indexed as

Coronary DiseaseHydroxymethylglutaryl-CoA Reductase InhibitorsApolipoprotein A-IApolipoproteinsApolipoproteins BCase-Control StudiesCholesterol, HDLHumansLipoprotein(a)Prospective StudiesProteomicsRisk FactorsTriglyceridesApolipoprotein A-IApolipoproteinsApolipoproteins BCholesterol, HDLHydroxymethylglutaryl-CoA Reductase InhibitorsLipoprotein(a)Triglyceridesapolipoproteinscardiovascular diseasescoronary diseaselipidspeptides

Identifiers

PMID36691918
PMCPMC9930889
OpenAlexW4317830863

What OpenQuestion holds

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LicenceCC BY
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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.