Evidence map›Paper›PMID 39817081›Full record

ArticleJACC. Advances2024

Electrical Heterogeneity in Hispanic Background Subpopulations: The HCHS/SOL.

Larisa G Tereshchenko, Kazi T Haq, Stacey J Howell, Evan C Mitchell, Jessica Hyde, Jesús Martínez, Cassandra A Ahmed, Genesis Briceno, Hetal Patel, Jose Pena and 9 more

Abstract read
In one paragraph

Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Larisa G TereshchenkoQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Kazi T HaqDepartment of Medicine, Children's National Hospital, Washington, Washington D.C., USA.
Stacey J HowellSection of Electrophysiology, Division of Cardiology, University of California-San Francisco, San Francisco, California, USA.
Evan C MitchellDepartment of Medicine, Brown University School of Medicine, Rhode Island, Rhode Island, USA.
Jessica HydeSchool of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Jesús MartínezSchool of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Cassandra A AhmedSchool of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Genesis BricenoSchool of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Hetal PatelChicago Medical School at Rosalind Franklin University, North Chicago, Illinois, USA.
Jose PenaSchool of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Akram KhanSchool of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Elsayed Z SolimanEpidemiological Cardiology Research Center, Division of Public Health Sciences and Department of Medicine, Cardiology Section, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
João A C LimaCardiovascular Division, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Samir R KapadiaHeart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Anita D Misra-HebertQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Michael W KattanQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Mayank M KansalDepartment of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Martha L DaviglusDepartment of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Robert KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, New York, USA.

Funding

Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Novel ECG Measures and Risk of Sudden Cardiac DeathR01HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2013 to 2016
$1.5M
Novel ECG measures and risk of sudden cardiac deathR56HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2018 to 2018
$396k
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
American Heart Association-American Stroke Association 23IPA1054947American Heart Association-American Stroke Association 23TPA1141088NCATS NIH HHS UM1 TR004528NHGRI NIH HHS HHSN268201300003CNHLBI NIH HHS HHSN268201300001CNHLBI NIH HHS HHSN268201300003INHLBI NIH HHS HHSN268201300004CNHLBI NIH HHS HHSN268201300005CNHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS R01 HL118277NHLBI NIH HHS R56 HL118277
6 · The paper itself

Abstract

Background: The Hispanic/Latino population is not uniform. Prevalence and clinical outcomes of cardiac arrhythmias in ethnic background subgroups are variable, but the reasons for differences are unclear. Vectorcardiographic Global Electrical Heterogeneity (GEH) has been shown to be associated with adverse cardiovascular outcomes. Objectives: The purpose of this study was to compare GEH in Hispanic/Latino background subpopulations. We hypothesized that ethnicity category moderates an association of prevalent cardiovascular disease (CVD) with GEH. Methods: Cross-sectional analysis of the HCHS/SOL (Hispanic Community Health Study/Study of Latinos) included 15,684 participants (mean age 41 years; 38% Mexican, 20% Cuban, 16% Puerto Rican, 10% Dominican, 7% Central American, 5% South American, 4% mixed Hispanic/Latino background). Acculturation and socioeconomic data were collected. GEH was measured as spatial QRS-T angle, spatial ventricular gradient (SVG) azimuth, SVG elevation, SVG magnitude, and sum absolute QRST integral. Linear regression models included interaction terms of ethnic background category by CVD and were adjusted for age, sex, education attainment, hypertension, diabetes, smoking, dyslipidemia, obesity, chronic kidney disease, physical activity, diet quality, heart rate, and rhythm. Results: The adjusted spatial QRS-T angle was significantly ( Conclusions: In CVD-free Hispanic/Latino subpopulations, cardiovascular risk factors do not fully explain GEH differences across ethnic background categories, which likely reflect unmeasured health disparities.

Indexed as

cardiovascular diseaseECGhealth disparitieshealth equityHispanic/Latino ethnicityvectorcardiogram

Identifiers

PMID39817081
PMCPMC11733965

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.