Evidence map›Paper›PMID 35143253›Full record

ArticleCirculation. Genomic and precision medicine2022

Coronary Artery Disease Risk of Familial Hypercholesterolemia Genetic Variants Independent of Clinically Observed Longitudinal Cholesterol Exposure.

Shoa L Clarke, Catherine Tcheandjieu, Austin T Hilliard, Kyung Min Lee, Julie Lynch, Kyong-Mi Chang, Donald Miller, Joshua W Knowles, Christopher O'Donnell, Philip S Tsao and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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

16 authors at 10 institutions in 1 country.

Shoa L ClarkeVA Palo Alto Health Care system, CA (S.L.C., C.T., A.T.H., P.S.T., T.L.A.).ORCID 0000-0002-6592-1172
Catherine TcheandjieuVA Palo Alto Health Care system, CA (S.L.C., C.T., A.T.H., P.S.T., T.L.A.).ORCID 0000-0001-9559-4339
Austin T HilliardVA Palo Alto Health Care system, CA (S.L.C., C.T., A.T.H., P.S.T., T.L.A.).ORCID 0000-0002-1289-4377
Kyung Min LeeVA Informatics & Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT (K.M.L., J.L.).ORCID 0000-0001-8995-0448
Julie LynchVA Informatics & Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT (K.M.L., J.L.).ORCID 0000-0003-0108-2127
Kyong-Mi ChangCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (K.-M.C.).ORCID 0000-0001-6811-9364
Donald MillerEdith Nourse Rogers Memorial VA Hospital, Bedford, MA (D.M.).
Joshua W KnowlesDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (S.L.C., C.T., A.T.H., J.W.K., P.S.T., T.L.A.).ORCID 0000-0003-1922-7240
Christopher O'DonnellVA Boston Healthcare System, Boston, MA (C.O., J.M.G.).ORCID 0000-0002-2667-8624
Philip S TsaoVA Palo Alto Health Care system, CA (S.L.C., C.T., A.T.H., P.S.T., T.L.A.).ORCID 0000-0001-7274-9318
Daniel J RaderDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia (K.-M.C., D.J.R.).ORCID 0000-0002-9245-9876
Peter W WilsonAtlanta VA Medical Center, Decatur, GA (P.W.W., Y.V.S.).ORCID 0000-0002-5653-7056
Yan V SunAtlanta VA Medical Center, Decatur, GA (P.W.W., Y.V.S.).ORCID 0000-0002-2838-1824
J Michael GazianoVA Boston Healthcare System, Boston, MA (C.O., J.M.G.).
Themistocles L AssimesVA Palo Alto Health Care system, CA (S.L.C., C.T., A.T.H., P.S.T., T.L.A.).ORCID 0000-0003-2349-0009
VA Million Veteran Program
VA Palo Alto Health Care System · USEmory University · USCardiovascular Institute of the South · USEdith Nourse Rogers Memorial Veterans Hospital · USHarvard University · USMassachusetts College of Pharmacy and Health Sciences · USPhiladelphia VA Medical Center · USUniversity of Pennsylvania · USVA Boston Healthcare System · USVA Salt Lake City Healthcare System · US

Funding

Genetics of Cardiometabolic Diseases in the VA PopulationI01BX003362 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI Kyong-Mi Chang, Philip S Tsao · 2017 to 2026
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Cardiovascular Disease Risk Factors, Cardiovascular Disease Risk Prediction, and Genetics in the Million Veteran ProgramI01BX004821 · VA · VETERANS HEALTH ADMINISTRATION · PI PETER WYMAN WILSON · 2020 to 2026
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BLRD VA I01 BX003362BLRD VA I01 BX004821
6 · The paper itself

Abstract

backgroundFamilial hypercholesterolemia (FH) genetic variants confer risk for coronary artery disease independent of LDL-C (low-density lipoprotein cholesterol) when considering a single measurement. In real clinical settings, longitudinal LDL-C data are often available through the electronic health record. It is unknown whether genetic testing for FH variants provides additional risk-stratifying information once longitudinal LDL-C is considered.

methodsWe used the extensive electronic health record data available through the Million Veteran Program to conduct a nested case-control study. The primary outcome was coronary artery disease, derived from electronic health record codes for acute myocardial infarction and coronary revascularization. Incidence density sampling was used to match case/control exposure windows, defined by the date of the first LDL-C measurement to the date of the first coronary artery disease code of the index case. Adjustments for the first, maximum, or mean LDL-C were analyzed. FH variants in

resultsIn a cohort of 23 091 predominantly prevalent cases at enrollment and 230 910 matched controls, FH variant carriers had an increased risk for coronary artery disease (odds ratio [OR], 1.53 [95% CI, 1.24-1.89]). Adjusting for mean LDL-C led to the greatest attenuation of the risk estimate, but significant risk remained (odds ratio, 1.33 [95% CI, 1.08-1.64]). The degree of attenuation was not affected by the number and the spread of LDL-C measures available.

conclusionsThe risk associated with carrying an FH variant cannot be fully captured by the LDL-C data available in the electronic health record, even when considering multiple LDL-C measurements spanning more than a decade.

Indexed as

Coronary Artery DiseaseHyperlipoproteinemia Type IICase-Control StudiesCholesterol, LDLHumansProprotein Convertase 9Receptors, LDLCholesterol, LDLPCSK9 protein, humanProprotein Convertase 9Receptors, LDLcholesterolcoronary artery diseaseelectronic health recordhypercholesterolemiarisk

Identifiers

PMID35143253
PMCPMC10593360
OpenAlexW4210965475

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.