Evidence map›Paper›PMID 42455151›Full record

ReviewHerzschrittmachertherapie & Elektrophysiologie2026

[Diagnostic and prognostic value of the resting ECG in structural heart disease].

Julian Wolfes, Christian Ellermann, Gerrit Frommeyer, Lars Eckardt

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Herzschrittmachertherapie & Elektrophysiologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Julian WolfesKlinik für Kardiologie II, Rhythmologie, Universitätsklinikum Münster, Albert-Schweitzer Campus 1, 48149, Münster, Deutschland. julian.wolfes@ukmuenster.de.
Christian EllermannKlinik für Kardiologie II, Rhythmologie, Universitätsklinikum Münster, Albert-Schweitzer Campus 1, 48149, Münster, Deutschland.
Gerrit FrommeyerKlinik für Kardiologie II, Rhythmologie, Universitätsklinikum Münster, Albert-Schweitzer Campus 1, 48149, Münster, Deutschland.
Lars EckardtKlinik für Kardiologie II, Rhythmologie, Universitätsklinikum Münster, Albert-Schweitzer Campus 1, 48149, Münster, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 12-lead resting electrocardiogram (ECG) remains a central tool in the diagnosis and risk stratification of structural heart disease despite significant advances in cardiac imaging. This review highlights the role of the resting ECG in ischemic cardiomyopathy, hypertrophic cardiomyopathy (HCM), arrhythmogenic right ventricular cardiomyopathy (ARVC), including its differentiation from cardiac sarcoidosis, as well as in genetically determined forms of dilated cardiomyopathy (DCM) and nondilated left ventricular cardiomyopathy (NDLVC). Characteristic electrocardiographic patterns not only facilitate identification of the underlying myocardial substrate but also provide prognostically relevant information regarding arrhythmic events and sudden cardiac death. Particularly in genetic cardiomyopathies, electrical abnormalities may precede overt structural manifestations, thereby enabling early phenotypic characterization. Despite the limited sensitivity of individual parameters, the resting ECG remains a widely available, cost-effective, and clinically highly relevant instrument that constitutes an integral component of contemporary guideline recommendations.

Indexed as

CardiomyopathiesElectrocardiographyDeath, Sudden, CardiacDiagnosis, DifferentialEvidence-Based MedicineHumansPrognosisReproducibility of ResultsSensitivity and SpecificityCardiomyopathyElectrocardiographyRisk predictionSudden cardiac deathVentricular tachycardia

Identifiers

What OpenQuestion holds

Textmetadata
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.