Evidence map›Paper›PMID 27486144›Full record

ArticleHeart (British Cardiac Society)2017

Left ventricular hypertrophy by ECG versus cardiac MRI as a predictor for heart failure.

Abdullahi O Oseni, Waqas T Qureshi, Mohamed F Almahmoud, Alain G Bertoni, David A Bluemke, William G Hundley, Joao A C Lima, David M Herrington, Elsayed Z Soliman

Open access · greenAbstract readComparative Study
In one paragraph

Article in Heart (British Cardiac Society), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
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  5. Deep learning assists early-detection of hypertension-mediated heart change on ECG signals.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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  11. The association between ECG criteria and Echo criteria for left ventricular hypertrophy in a general Chinese population.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
    Article
  12. Article
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  15. Article
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  18. Newly proposed electrocardiographic criteria for the diagnosis of left ventricular hypertrophy in a Chinese population.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2019
    Article
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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 3 institutions in 1 country.

Abdullahi O OseniDepartment of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Waqas T QureshiDepartment of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Mohamed F AlmahmoudDepartment of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Alain G BertoniDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
David A BluemkeRadiology and Imaging Sciences, NIH Clinical Center, Bethesda, Maryland, USA.
William G HundleyDepartment of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Joao A C LimaDepartment of Radiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
David M HerringtonDepartment of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Elsayed Z SolimanDepartment of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Wake Forest University · USJohns Hopkins University · USNational Institutes of Health Clinical Center · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
CVD Epidemiology Training ProgramT32HL076132 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAVID McLeod HERRINGTON · 2004 to 2026
$8.4M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095160 · HC · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SAAD, MOHAMMED F · 1999 to 2001
$592k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095164 · HC · NORTHWESTERN UNIVERSITY · PI LIU, KIANG JOHN · 1999 to 2001
$511k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095163 · HC · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FOLSOM, AARON R · 1999 to 2001
$443k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS T32 HL076132
6 · The paper itself

Abstract

objectiveTo determine if there is a significant difference in the predictive abilities of left ventricular hypertrophy (LVH) detected by ECG-LVH versus LVH ascertained by cardiac MRI-LVH in a model similar to the Framingham Heart Failure Risk Score (FHFRS).

methodsThis study included 4745 (mean age 61±10 years, 53.5% women, 61.7% non-whites) participants in the Multi-Ethnic Study of Atherosclerosis. ECG-LVH was defined using Cornell voltage product while MRI-LVH was derived from left ventricular mass. Cox proportional hazard regression was used to examine the association between ECG-LVH and MRI-LVH with incident heart failure (HF). Harrell's concordance C-index was used to estimate the predictive ability of the model when either ECG-LVH or MRI-LVH was included as one of its components.

resultsECG-LVH was present in 291 (6.1%), while MRI-LVH was present in 499 (10.5%) of the participants. Both ECG-LVH (HR 2.25, 95% CI 1.38 to 3.69) and MRI-LVH (HR 3.80, 95% CI 1.56 to 5.63) were predictive of HF. The absolute risk of developing HF was 8.81% for MRI-LVH versus 2.26% for absence of MRI-LVH with a relative risk of 3.9. With ECG-LVH, the absolute risk of developing HF 6.87% compared with 2.69% for absence of ECG-LVH with a relative risk of 2.55. The ability of the model to predict HF was better with MRI-LVH (C-index 0.871, 95% CI 0.842 to 0.899) than with ECG-LVH (C-index 0.860, 95% CI 0.833 to 0.888) (p<0.0001).

conclusionsECG-LVH and MRI-LVH are predictive of HF. Substituting MRI-LVH for ECG-LVH improves the predictive ability of a model similar to the FHFRS.

Indexed as

AgedAged, 80 and overElectrocardiographyFemaleHeart FailureHumansHypertrophy, Left VentricularIncidenceKaplan-Meier EstimateMagnetic Resonance ImagingMaleMiddle AgedModels, CardiovascularPredictive Value of TestsPrognosisRisk AssessmentECG/electrocardiogram

Identifiers

PMID27486144
PMCPMC5385704
OpenAlexW2496098242

What OpenQuestion holds

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LicenceTDM
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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.