Evidence map›Paper›PMID 33336876›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2021

T-wave and its association with myocardial fibrosis on cardiovascular magnetic resonance examination.

Karolina M Zareba, Vien T Truong, Wojciech Mazur, Suzanne M Smart, Xiaojuan Xia, Jean-Philippe Couderc, Subha V Raman

Open access · goldAbstract read
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
  2. Article
  3. T-wave and its association with myocardial fibrosis on cardiovascular magnetic resonance examination.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
    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

7 authors at 4 institutions in 1 country.

Karolina M ZarebaDivision of Cardiovascular Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.ORCID 0000-0002-4891-4106
Vien T TruongDivision of Cardiology, The Christ Hospital Health Network, Cincinnati, OH, USA.
Wojciech MazurDivision of Cardiology, The Christ Hospital Health Network, Cincinnati, OH, USA.
Suzanne M SmartDivision of Cardiovascular Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Xiaojuan XiaHeart Research Follow-Up Program, University of Rochester Medical Center, Rochester, NY, USA.
Jean-Philippe CoudercHeart Research Follow-Up Program, University of Rochester Medical Center, Rochester, NY, USA.
Subha V RamanDivision of Cardiology, Indiana University School of Medicine, Indianapolis, IN, USA.
Health Net · USThe Ohio State University Wexner Medical Center · USUniversity of Rochester Medical Center · USIndiana University School of Medicine

Funding

NIH Clinical Center NIH 1L30HL134084-01
6 · The paper itself

Abstract

backgroundRisk stratification in non-ischemic myocardial disease poses a challenge. While cardiovascular magnetic resonance (CMR) is a comprehensive tool, the electrocardiogram (ECG) provides quick impactful clinical information. Studying the relationships between CMR and ECG can provide much-needed risk stratification. We evaluated the electrocardiographic signature of myocardial fibrosis defined as presence of late gadolinium enhancement (LGE) or extracellular volume fraction (ECV) ≥29%.

methodsWe evaluated 240 consecutive patients (51% female, 47.1 ± 16.6 years) referred for a clinical CMR who underwent 12-lead ECGs within 90 days. ECG parameters studied to determine association with myocardial fibrosis included heart rate, QRS amplitude/duration, T-wave amplitude, corrected QT and QT peak, and Tpeak-Tend. Abnormal T-wave was defined as low T-wave amplitude ≤200 µV or a negative T wave, both in leads II and V5.

resultsOf the 147 (61.3%) patients with myocardial fibrosis, 67 (28.2%) had ECV ≥ 29%, and 132 (54.6%) had non-ischemic LGE. An abnormal T-wave was more prevalent in patients with versus without myocardial fibrosis (66% versus 42%, p < .001). Multivariable analysis demonstrated that abnormal T-wave (OR 1.95, 95% CI 1.09-3.49, p = .03) was associated with myocardial fibrosis (ECV ≥ 29% or LGE) after adjustment for clinical covariates (age, gender, history of hypertension, and heart failure). Dynamic nomogram for predicting myocardial fibrosis using clinical parameters and the T-wave was developed: https://normogram.shinyapps.io/CMR_Fibrosis/.

conclusionLow T-wave amplitude ≤ 200 µV or negative T-waves are independently associated with myocardial fibrosis. Prospective evaluation of T-wave amplitude may identify patients with a high probability of myocardial fibrosis and guide further indication for CMR.

Indexed as

CardiomyopathiesContrast MediaElectrocardiographyFemaleFibrosisGadoliniumHeartHumansImage EnhancementMagnetic Resonance Imaging, CineMaleMiddle AgedMyocardiumProspective StudiesRetrospective StudiesContrast MediaGadoliniumelectrocardiographylate gadolinium enhancementmyocardial fibrosisT1 mapping

Identifiers

PMID33336876
PMCPMC7935103
OpenAlexW3113881623

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.