Evidence map›Paper›PMID 38398330›Full record

ReviewJournal of clinical medicine2024

Current Insights and Novel Cardiovascular Magnetic Resonance-Based Techniques in the Prognosis of Non-Ischemic Dilated Cardiomyopathy.

Francesco Perone, Ilaria Dentamaro, Lucia La Mura, Angeliki Alifragki, Maria Marketou, Elena Cavarretta, Michael Papadakis, Emmanuel Androulakis

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Late gadolinium-enhanced cardiovascular magnetic resonance for predicting left ventricular reverse remodeling in dilated cardiomyopathy: A comprehensive review and meta-analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Pooled it
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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

8 authors.

Francesco PeroneCardiac Rehabilitation Unit, Rehabilitation Clinic "Villa delle Magnolie", 81020 Castel Morrone, Italy.ORCID 0000-0002-1418-7908
Ilaria DentamaroCardiology Department, Hospital of Policlinico of Bari, 70124 Bari, Italy.
Lucia La MuraDepartment of Advanced Biomedical Sciences, University Federico II of Naples, 80133 Naples, Italy.ORCID 0000-0003-4648-0460
Angeliki AlifragkiDepartment of Cardiology, University General Hospital of Heraklion, 71500 Crete, Greece.
Maria MarketouDepartment of Cardiology, University General Hospital of Heraklion, 71500 Crete, Greece.ORCID 0000-0003-1888-3430
Elena CavarrettaDepartment of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Corso Della Repubblica, 79, 04100 Latina, Italy.ORCID 0000-0003-0221-6000
Michael PapadakisDepartment of Cardiology, St George's University, London SW170QT, UK.
Emmanuel AndroulakisDepartment of Cardiology, St George's University, London SW170QT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac magnetic resonance (CMR) imaging has an important emerging role in the evaluation and management of patients with cardiomyopathies, especially in patients with dilated cardiomyopathy (DCM). It allows a non-invasive characterization of myocardial tissue, thus assisting early diagnosis and precise phenotyping of the different cardiomyopathies, which is an essential step for early and individualized treatment of patients. Using imaging techniques such as late gadolinium enhancement (LGE), standard and advanced quantification as well as quantitative mapping parameters, CMR-based tissue characterization is useful in the differential diagnosis of DCM and risk stratification. The purpose of this article is to review the utility of CMR in the diagnosis and management of idiopathic DCM, as well as risk prediction and prognosis based on standard and emerging CMR contrast and non-contrast techniques. This is consistent with current evidence and guidance moving beyond traditional prognostic markers such as ejection fraction.

Indexed as

cardiac magnetic resonancedilated cardiomyopathyextracellular volumegray zone fibrosismyocardial fibrosisparametric mapping

Identifiers

PMID38398330
PMCPMC10889760

What OpenQuestion holds

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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.