Evidence map›Paper›PMID 32329134›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2020

How are ECG parameters related to cardiac magnetic resonance images? Electrocardiographic predictors of left ventricular hypertrophy and myocardial fibrosis in hypertrophic cardiomyopathy.

Zsofia Dohy, Andras Vereckei, Viktor Horvath, Csilla Czimbalmos, Liliana Szabo, Attila Toth, Ferenc I Suhai, Ibolya Csecs, David Becker, Bela Merkely and 1 more

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, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

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  10. Electro- and echocardiographic features of left ventricle hypertrophy in patients with hypertrophic cardiomyopathy.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2022
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  14. How are ECG parameters related to cardiac magnetic resonance images? Electrocardiographic predictors of left ventricular hypertrophy and myocardial fibrosis in hypertrophic cardiomyopathy.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020
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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

11 authors at 1 institution in 1 country.

Zsofia DohyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Andras Vereckei3rd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.
Viktor HorvathHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Csilla CzimbalmosHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Liliana SzaboHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Attila TothHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Ferenc I SuhaiHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Ibolya CsecsHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
David BeckerHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Bela MerkelyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Hajnalka VagoHeart and Vascular Center, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-3568-3572
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStructural myocardial changes in hypertrophic cardiomyopathy (HCM) are associated with different abnormalities on electrocardiographs (ECGs). The diagnostic value of the ECG voltage criteria used to screen for left ventricular hypertrophy (LVH) may depend on the presence and degree of myocardial fibrosis. Fibrosis can cause other changes in ECG parameters, such as pathological Q waves, fragmented QRS (fQRS), or repolarization abnormalities.

methodsWe investigated 146 patients with HCM and 35 healthy individuals who underwent cardiac magnetic resonance imaging (CMR; with late gadolinium enhancement [LGE] in HCM patients) and standard 12-lead ECGs. On the ECG, depolarization and repolarization abnormalities, the Sokolow-Lyon index, the Cornell index, and the Romhilt-Estes score were evaluated. The left ventricular ejection fraction, volumes, and myocardial mass (LVM) were quantified. Myocardial fibrosis was quantified on LGE images.

resultsThe sensitivity of the Romhilt-Estes score was the highest (75%), and this hypertrophy criterion had the strongest correlation with the LVM index (p < .0001; r = .41). The amount of fibrosis was negatively correlated with the Cornell index (p = .015; r = -.201) and the Sokolow-Lyon index (p = .005; r = -.23), and the Romhilt-Estes score was independent of fibrosis (p = .757; r = 0.026). fQRS and strain pattern predicted more fibrosis, while the Cornell index was a negative predictor of myocardial fibrosis (p < .0001). Among others, the strain pattern was an independent predictor of the LVM (p < .0001).

conclusionThe Romhilt-Estes score is the most sensitive ECG criterion for detecting LVH in HCM patients, as myocardial fibrosis does not affect this criterion. The presence of fQRS and strain pattern predicts myocardial fibrosis.

Indexed as

AdultCardiomyopathy, HypertrophicContrast MediaElectrocardiographyFemaleFibrosisGadoliniumHeart VentriclesHumansHypertrophy, Left VentricularImage EnhancementMagnetic Resonance ImagingMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityContrast MediaGadoliniumcardiac magnetic resonanceelectrocardiographyfragmented QRShypertrophic cardiomyopathymyocardial fibrosisstrain pattern

Identifiers

PMID32329134
PMCPMC7507346
OpenAlexW3018187334

What OpenQuestion holds

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LicenceCC BY
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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.