Evidence map›Paper›PMID 38240206›Full record

ArticleJournal of the American Heart Association2024

Risk Prediction in Male Adolescents With Congenital Long QT Syndrome: Implications for Sex-Specific Risk Stratification in Potassium Channel-Mediated Long QT Syndrome.

Milica Bjelic, Ido Goldenberg, Arwa Younis, Anita Y Chen, David T Huang, Ayhan Yoruk, Mehmet K Aktas, Spencer Rosero, Kristina Cutter, Scott McNitt and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

17 authors at 7 institutions in 1 country.

Milica BjelicClinical Cardiovascular Research Center, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0003-0468-8511
Ido GoldenbergClinical Cardiovascular Research Center, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0001-8717-8298
Arwa YounisClinical Cardiovascular Research Center, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0002-2485-5025
Anita Y ChenDepartment of Biostatistics and Computational Biology University of Rochester Medical Center Rochester NY USA.
David T HuangDepartment of Medicine, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0002-9165-7643
Ayhan YorukDivision of Cardiology The University of California, San Francisco Medical Center San Francisco CA USA.
Mehmet K AktasDepartment of Medicine, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0002-9003-9384
Spencer RoseroDepartment of Medicine, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0001-9958-1172
Kristina CutterClinical Cardiovascular Research Center, Division of Cardiology University of Rochester Medical Center Rochester NY USA.
Scott McNittClinical Cardiovascular Research Center, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0001-5374-6322
Nona SotoodehniaDepartment of Medicine, Division of Cardiology University of Washington Seattle WA USA.ORCID 0000-0002-2705-6237
Peter J KudenchukDepartment of Medicine University of Washington Seattle WA USA.ORCID 0000-0003-1855-1102
Thomas D ReaDepartment of Medicine University of Washington Seattle WA USA.
Dan E ArkingThe McKusick-Nathans Institute, Department of Genetic Medicine John Hopkins University School of Medicine Baltimore MD USA.ORCID 0000-0001-8980-8695
Wojciech ZarebaClinical Cardiovascular Research Center, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0003-4146-420X
Michael J AckermanDepartments of Cardiovascular Medicine, Pediatric and Adolescent Medicine, and Molecular Pharmacology & Experimental Therapeutics, Divisions of Heart Rhythm Services and Pediatric Cardiology, Windland Smith Rice Genetic Heart Rhythm Clinic and Windland Smith Rice Sudden Death Genomics Laboratory Mayo Clinic Rochester MN USA.ORCID 0000-0002-8011-3333
Ilan GoldenbergClinical Cardiovascular Research Center, Division of Cardiology University of Rochester Medical Center Rochester NY USA.ORCID 0000-0002-5806-3325
University of Rochester Medical Center · USUniversity of Washington · USBoston University · USCleveland Clinic · USHeart Rhythm Society · USJohns Hopkins University · USUniversity of California San Francisco Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSex-specific risk management may improve outcomes in congenital long QT syndrome (LQTS). We recently developed a prediction score for cardiac events (CEs) and life-threatening events (LTEs) in postadolescent women with LQTS. In the present study, we aimed to develop personalized risk estimates for the burden of CEs and LTEs in male adolescents with potassium channel-mediated LQTS. METHODS AND

resultsThe prognostic model was derived from the LQTS Registry headquartered in Rochester, NY, comprising 611 LQT1 or LQT2 male adolescents from age 10 through 20 years, using the following variables: genotype/mutation location, QTc-specific thresholds, history of syncope, and β-blocker therapy. Anderson-Gill modeling was performed for the end point of CE burden (total number of syncope, aborted cardiac arrest, and appropriate defibrillator shocks). The applicability of the CE prediction model was tested for the end point of the first LTE (excluding syncope and adding sudden cardiac death) using Cox modeling. A total of 270 CEs occurred during follow-up. The genotype-phenotype risk prediction model identified low-, intermediate-, and high-risk groups, comprising 74%, 14%, and 12% of the study population, respectively. Compared with the low-risk group, high-risk male subjects experienced a pronounced 5.2-fold increased risk of recurrent CEs (

conclusionsPersonalized genotype-phenotype risk estimates can be used to guide sex-specific management in male adolescents with potassium channel-mediated LQTS.

Indexed as

Long QT SyndromePotassium ChannelsAdolescentAdultChildDeath, Sudden, CardiacElectrocardiographyFemaleGenotypeHumansMaleRisk AssessmentRisk FactorsSyncopeYoung AdultPotassium Channelsadolescencegeneticslong QT syndromemale sexQT intervalsudden cardiac deathsyncope

Identifiers

PMID38240206
PMCPMC11056131
OpenAlexW4391027835

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.