Evidence map›Paper›PMID 35943062›Full record

ArticleJournal of the American Heart Association2022

Coronary Artery Calcium Score to Refine the Use of PCSK9i in Asymptomatic Individuals: A Multicohort Study.

Miguel Cainzos-Achirica, Renato Quispe, Reed Mszar, Ramzi Dudum, Mahmoud Al Rifai, Raimund Erbel, Andreas Stang, Karl-Heinz Jöckel, Nils Lehmann, Sara Schramm and 12 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

22 authors at 10 institutions in 2 countries.

Miguel Cainzos-AchiricaDivision of Cardiovascular Prevention and Wellness, Department of Cardiology Houston Methodist DeBakey Heart and Vascular Center Houston TX.ORCID 0000-0002-8073-2337
Renato QuispeJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins Medical Institutions Baltimore MD.
Reed MszarCenter for Outcomes Research Yale School of Medicine New Haven CT.ORCID 0000-0001-8152-8031
Ramzi DudumDivision of Cardiovascular Medicine Stanford University Stanford CA.
Mahmoud Al RifaiSection of Cardiology Baylor College of Medicine Houston TX.ORCID 0000-0002-6933-790X
Raimund ErbelInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen University Duisburg-Essen Essen Germany.
Andreas StangInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen University Duisburg-Essen Essen Germany.
Karl-Heinz JöckelInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen University Duisburg-Essen Essen Germany.
Nils LehmannInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen University Duisburg-Essen Essen Germany.ORCID 0000-0003-2395-8708
Sara SchrammInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen University Duisburg-Essen Essen Germany.ORCID 0000-0001-6493-6009
Börge SchmidtInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen University Duisburg-Essen Essen Germany.
Peter P TothJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins Medical Institutions Baltimore MD.ORCID 0000-0001-5810-5460
Jamal S RanaDivisions of Cardiology and Research Kaiser Permanente Northern California Oakland CA.
Joao A C LimaDivision of Cardiovascular Imaging Johns Hopkins Medical Institutions Baltimore MD.ORCID 0000-0001-8756-6995
Henrique Doria de VasconcellosDivision of Cardiovascular Imaging Johns Hopkins Medical Institutions Baltimore MD.ORCID 0000-0002-9758-2240
Donald Lloyd-JonesDepartments of Preventive Medicine and Medicine Northwestern University Feinberg School of Medicine Chicago IL.ORCID 0000-0003-0847-6110
Parag H JoshiDivision of Cardiology, Department of Internal Medicine UT Southwestern Medical Center Dallas TX.ORCID 0000-0001-7863-2794
Colby AyersDivision of Cardiology, Department of Internal Medicine UT Southwestern Medical Center Dallas TX.ORCID 0000-0003-2060-2263
Amit KheraDivision of Cardiology, Department of Internal Medicine UT Southwestern Medical Center Dallas TX.ORCID 0000-0001-7255-6874
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease Johns Hopkins Medical Institutions Baltimore MD.ORCID 0000-0001-5138-9683
Philip GreenlandDepartments of Preventive Medicine and Medicine Northwestern University Feinberg School of Medicine Chicago IL.ORCID 0000-0002-6327-2439
Khurram NasirDivision of Cardiovascular Prevention and Wellness, Department of Cardiology Houston Methodist DeBakey Heart and Vascular Center Houston TX.ORCID 0000-0001-5376-2269
Johns Hopkins University · USUniversity of Duisburg-Essen · DESouthwestern Medical Center · USHouston Methodist · USNorthwestern University · USBaylor College of Medicine · USBoston University · USKaiser Permanente · USStanford Medicine · USYale New Haven Hospital · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
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
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001105NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007I
6 · The paper itself

Abstract

Background The value of coronary artery calcium (CAC) in the allocation of PCSK9i (proprotein convertase subtilisin/kexin type 9 inhibitors) among individuals without clinically evident atherosclerotic cardiovascular disease (ASCVD) is unknown for indications that do not require confirmed familial hypercholesterolemia. We aimed to assess the ability of CAC to stratify ASCVD risk under 3 non-familial hypercholesterolemia PCSK9i allocation paradigms. Methods and Results We included participants without clinically evident ASCVD from MESA (Multi-Ethnic Study of Atherosclerosis), CARDIA (Coronary Artery Risk Development in Young Adults) study, DHS (Dallas Heart Study), and HNR (Heinz Nixdorf Recall) study. Three PCSK9i eligibility scenarios were defined: a broad scenario informed only by high low-density lipoprotein cholesterol levels (N=567), a restrictive one combining higher low-density lipoprotein cholesterol levels and presence of ≥2 additional risk factors (N=127), and a high-risk scenario where individuals with subclinical organ damage or high estimated risk would be treated to achieve low-density lipoprotein cholesterol <55 mg/dL (N=471). The high-risk scenario had the highest ASCVD event rates (27.8% at 10 years). CAC=0 was observed in 35% participants in the broad scenario, 25% in the restrictive scenario, and 16% in the high-risk scenario. In all, CAC=0 was associated with the lowest incident ASCVD rates at 5 and 10 years, and CAC burden was independently associated with ASCVD events adjusting for traditional risk factors. Conclusions CAC may be used to refine the allocation of PCSK9i, potentially leading to a more conservative use if CAC=0. The value of CAC testing is greater in scenarios that use low-density lipoprotein cholesterol levels and/or traditional risk factors to define PCSK9i eligibility (CAC=0 present in 1 of 3-4 patients), whereas its prevalence is lower when allocation is informed by presence of noncoronary subclinical organ damage.

Indexed as

AtherosclerosisCoronary Artery DiseaseHypercholesterolemiaHyperlipoproteinemia Type IIPCSK9 InhibitorsCalciumCholesterol, LDLHumansRisk AssessmentRisk FactorsCalciumCholesterol, LDLPCSK9 Inhibitorsatherosclerosiscardiovascular diseasecoronary artery calciumPCSK9iprimary preventionrisk

Identifiers

PMID35943062
PMCPMC9496288
OpenAlexW4292396870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.