Evidence map›Paper›PMID 33761057›Full record

ReviewThe international journal of cardiovascular imaging2021

Electroanatomic voltage mapping and characterisation imaging for "right ventricle arrhythmic syndromes" beyond the arrhythmia definition: a comprehensive review.

Franco Zoppo, Giulia Gagno, Luca Perazza, Andrea Cocciolo, Giacomo Mugnai, Diego Vaccari, Vittorio Calzolari

Abstract readReview
PubMed Publisher
In one paragraph

Review in The international journal of cardiovascular imaging, 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Franco ZoppoElettrofisiologia, U.O.C. Di Cardiologia, Ospedale Civile Gorizia, Gorizia, Italy. francozoppo@gmail.com.ORCID http://orcid.org/0000-0001-5480-6550
Giulia GagnoAzienda Sanitaria Universitaria Giuliano Isontina - Dipartimento di Cardiologia Trieste, Trieste, Italy.
Luca PerazzaElettrofisiologia, U.O.C. Di Cardiologia, Ospedale Civile Gorizia, Gorizia, Italy.
Andrea CoccioloElettrofisiologia, U.O.C. Di Cardiologia, Ospedale Civile Gorizia, Gorizia, Italy.
Giacomo MugnaiElettrofisiologia, U.O.C Di Cardiologia, Ospedale Civile Arzignano, Vicenza, Italy.
Diego VaccariElettrofisiologia, U.O.C Di Cardiologia, Ospedale Civile Feltre, Belluno, Italy.
Vittorio CalzolariElettrofisiologia, U.O.C Di Cardiologia, Ospedale Civile Treviso, Treviso, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) reconstruction by means of electroanatomic mapping (EAM) systems, allows for the understanding of the mechanism of focal or re-entrant arrhythmic circuits along with pacing techniques. However, besides this conventional use, EAM may offer helpful anatomical and functional information. Data regarding electromechanical scar detection in ischaemic (and nonischaemic) cardiomyopathy are mostly consolidated, while emerging results are becoming available in contexts such as arrhythmogenic right ventricular dysplasia (ARVC/D) definition and Brugada syndrome. As part of an invasive procedure, EAM has not yet been widely adopted as a stand-alone tool in the diagnostic path. We aim to review the current literature regarding the use of 3D EAM systems for right ventricle (RV) functional characterisation beyond the definition of arrhythmia.

Indexed as

Arrhythmogenic Right Ventricular DysplasiaHeart VentriclesArrhythmias, CardiacHumansImaging, Three-DimensionalPredictive Value of TestsSyndromeCharacterisationElectroanatomicMapping for right ventricle

Identifiers

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Registered trials

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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.