Evidence map›Paper›PMID 32564329›Full record

ReviewHeart failure reviews2022

Arrhythmic risk stratification by cardiac magnetic resonance tissue characterization: disclosing the arrhythmic substrate within the heart muscle.

Aldostefano Porcari, Antonio De Luca, Chrysanthos Grigoratos, Federico Biondi, Giorgio Faganello, Giancarlo Vitrella, Gaetano Nucifora, Giovanni Donato Aquaro, Marco Merlo, Gianfranco Sinagra

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The Arrhythmic Phenotype in Cardiomyopathy.Heart failure clinics · 2022
    Review
  5. Review
  6. Review
  7. 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

10 authors at 4 institutions in 2 countries.

Aldostefano PorcariCardiovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, Via Pietro Valdoni 7, 34149, Trieste, Italy.
Antonio De LucaCardiovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, Via Pietro Valdoni 7, 34149, Trieste, Italy.
Chrysanthos GrigoratosFondazione CNR - Regione Toscana "G. Monasterio", Pisa, Italy.
Federico BiondiCardiovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, Via Pietro Valdoni 7, 34149, Trieste, Italy.
Giorgio FaganelloCardiovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, Via Pietro Valdoni 7, 34149, Trieste, Italy.
Giancarlo VitrellaCardiovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, Via Pietro Valdoni 7, 34149, Trieste, Italy.
Gaetano NuciforaNorthWest Cardiac Imaging Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Giovanni Donato AquaroFondazione CNR - Regione Toscana "G. Monasterio", Pisa, Italy.
Marco MerloCardiovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, Via Pietro Valdoni 7, 34149, Trieste, Italy. marco.merlo79@gmail.com.
Gianfranco SinagraCardiovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, Via Pietro Valdoni 7, 34149, Trieste, Italy.
University of Trieste · ITAzienda Sanitaria Universitaria Integrata di Trieste · ITFondazione Toscana Gabriele Monasterio · ITManchester University NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden cardiac death (SCD) is a pivotal health problem worldwide. The identification of subjects at increased risk of SCD is crucial for the accurate selection of candidates for implantable cardioverter defibrillator (ICD) therapy. Current strategies for arrhythmic stratification largely rely on left ventricular (LV) ejection fraction (EF), mostly measured by echocardiography, and New York Heart Association functional status for heart failure with reduced EF. For specific diseases, such as hypertrophic and arrhythmogenic cardiomyopathy, some risk scores have been proposed; however, these scores take into account some parameters that are a partial reflection of the global arrhythmic risk and show a suboptimal accuracy. Thanks to a more comprehensive evaluation, cardiac magnetic resonance (CMR) provides insights into the heart muscle (the so-called tissue characterization) identifying cardiac fibrosis as an arrhythmic substrate. Combining sequences before and after administration of contrast media and mapping techniques, CMR is able to characterize the myocardial tissue composition, shedding light on both intracellular and extracellular alterations. Over time, late gadolinium enhancement (LGE) emerged as solid prognostic marker, strongly associated with major arrhythmic events regardless of LVEF, adding incremental value over current strategy in ischemic heart disease and non-ischemic cardiomyopathies. The evidence on a potential prognostic role of mapping imaging is promising. However, mapping techniques require further investigation and standardization. Disclosing the arrhythmic substrate within the myocardium, CMR should be considered as part of a multiparametric approach to personalized arrhythmic stratification.

Indexed as

Contrast MediaGadoliniumDeath, Sudden, CardiacHumansMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyMyocardiumPredictive Value of TestsRisk AssessmentRisk FactorsContrast MediaGadoliniumArrhythmic stratificationCardiac magnetic resonanceCardiomyopathiesLate gadolinium enhancementMapping imagingSudden cardiac death

Identifiers

PMID32564329
OpenAlexW3036385724

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.