Evidence map›Paper›PMID 35583136›Full record

ArticleJournal of the American Heart Association2022

Estimated Yield of Screening for Heterozygous Familial Hypercholesterolemia With and Without Genetic Testing in US Adults.

Brandon K Bellows, Amit V Khera, Yiyi Zhang, Natalia Ruiz-Negrón, Henry M Stoddard, John B Wong, Dhruv S Kazi, Sarah D de Ferranti, Andrew E Moran

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 17 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

9 authors at 6 institutions in 1 country.

Brandon K BellowsDepartment of Medicine Columbia University New York NY.ORCID 0000-0003-1395-6047
Amit V KheraCenter for Genomic Medicine Massachusetts General Hospital Boston MA.ORCID 0000-0001-6535-5839
Yiyi ZhangDepartment of Medicine Columbia University New York NY.ORCID 0000-0002-8663-5001
Natalia Ruiz-NegrónDepartment of Pharmacotherapy University of Utah Salt Lake City UT.
Henry M StoddardDepartment of Medicine Columbia University New York NY.
John B WongDepartment of Medicine Tufts Medical Center Boston MA.ORCID 0000-0003-4203-9010
Dhruv S KaziDepartment of Medicine Harvard Medical School Boston MA.ORCID 0000-0002-9510-2979
Sarah D de FerrantiDepartment of Pediatrics Harvard Medical School Boston MA.
Andrew E MoranDepartment of Medicine Columbia University New York NY.
Columbia University · USBeth Israel Deaconess Medical Center · USBoston Children's Hospital · USBroad Institute · USTufts Medical Center · USUniversity of Utah · US

Funding

Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
Familial hypercholesterolemia screening in children: population impact of phenotype, genotype, and cascade approachesR01HL141823 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DE FERRANTI, SARAH D, MORAN, ANDREW EDWARD · 2019 to 2022
$3.3M
Polygenic prediction of common, complex diseasesK08HG010155 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI KHERA, AMIT VIKRAM · 2018 to 2021
$1.1M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS K08 HG010155NHGRI NIH HHS U01 HG011719NHLBI NIH HHS R01 HL141823
6 · The paper itself

Abstract

Background Heterozygous familial hypercholesterolemia (FH) is a common genetic disorder causing premature cardiovascular disease. Despite this, there is no national screening program in the United States to identify individuals with FH or likely pathogenic FH genetic variants. Methods and Results The clinical characteristics and FH variant status of 49 738 UK Biobank participants were used to develop a regression model to predict the probability of having any FH variants. The regression model and modified Dutch Lipid Clinic Network criteria were applied to 39 790 adult participants (aged ≥20 years) in the National Health and Nutrition Examination Survey to estimate the yield of FH screening programs using Dutch Lipid Clinic Network clinical criteria alone (excluding genetic variant status), genetic testing alone, or combining clinical criteria with genetic testing. The regression model accurately predicted FH variant status in UK Biobank participants (observed prevalence, 0.27%; predicted, 0.26%; area under the receiver-operator characteristic curve, 0.88). In the National Health and Nutrition Examination Survey, the estimated yield per 1000 individuals screened (95% CI) was 3.7 (3.0-4.6) FH cases with the Dutch Lipid Clinic Network clinical criteria alone, 3.8 (2.7-5.1) cases with genetic testing alone, and 6.6 (5.3-8.0) cases by combining clinical criteria with genetic testing. In young adults aged 20 to 39 years, using clinical criteria alone was estimated to yield 1.3 (95% CI, 0.6-2.5) FH cases per 1000 individuals screened, which was estimated to increase to 4.2 (95% CI, 2.6-6.4) FH cases when combining clinical criteria with genetic testing. Conclusions Screening for FH using a combination of clinical criteria with genetic testing may increase identification and the opportunity for early treatment of individuals with FH.

Indexed as

Hyperlipoproteinemia Type IIGenetic TestingHumansLipidsMass ScreeningNutrition SurveysYoung AdultLipidscardiovascular diseasediagnostic screeningfamilial hypercholesterolemialipids

Identifiers

PMID35583136
PMCPMC9238728
OpenAlexW4280507817

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.