Evidence map›Paper›PMID 39001120›Full record

ArticleSensors (Basel, Switzerland)2024

A Novel Workflow for Electrophysiology Studies in Patients with Brugada Syndrome.

Valentina Hartwig, Maria Sole Morelli, Nicola Martini, Paolo Seghetti, Davide Tirabasso, Vincenzo Positano, Sara Latrofa, Giacomo Mansi, Andrea Rossi, Alberto Giannoni and 2 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Causal Relationship Between Electrocardiogram Parameters and Brugada Syndrome: A Bidirectional Mendelian Randomization Study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
    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

12 authors.

Valentina HartwigInstitute of Clinical Physiology (IFC), 56124 Pisa, Italy.ORCID 0000-0001-8453-5368
Maria Sole MorelliFondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy.
Nicola MartiniFondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy.
Paolo SeghettiInstitute of Clinical Physiology (IFC), 56124 Pisa, Italy.ORCID 0000-0001-5965-6539
Davide TirabassoDipartimento di Ingegneria dell'Informazione, University of Pisa, 56124 Pisa, Italy.
Vincenzo PositanoFondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy.ORCID 0000-0001-6955-9572
Sara LatrofaHealth Science Interdisciplinary Center, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.ORCID 0009-0004-3514-8774
Giacomo MansiHealth Science Interdisciplinary Center, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Andrea RossiFondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy.ORCID 0000-0003-4430-6821
Alberto GiannoniFondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy.
Alessandro TognettiDipartimento di Ingegneria dell'Informazione, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0001-9848-4071
Nicola VanelloDipartimento di Ingegneria dell'Informazione, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-2312-6699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brugada Syndrome (BrS) is a primary electrical epicardial disease characterized by ST-segment elevation followed by a negative T-wave in the right precordial leads on the surface electrocardiogram (ECG), also known as the 'type 1' ECG pattern. The risk stratification of asymptomatic individuals with spontaneous type 1 ECG pattern remains challenging. Clinical and electrocardiographic prognostic markers are known. As none of these predictors alone is highly reliable in terms of arrhythmic prognosis, several multi-factor risk scores have been proposed for this purpose. This article presents a new workflow for processing endocardial signals acquired with high-density RV electro-anatomical mapping (HDEAM) from BrS patients. The workflow, which relies solely on Matlab software, calculates various electrical parameters and creates multi-parametric maps of the right ventricle. The workflow, but it has already been employed in several research studies involving patients carried out by our group, showing its potential positive impact in clinical studies. Here, we will provide a technical description of its functionalities, along with the results obtained on a BrS patient who underwent an endocardial HDEAM.

Indexed as

Brugada SyndromeElectrocardiographyWorkflowHeart VentriclesHumansSignal Processing, Computer-AssistedSoftwareBrugada Syndrome (BrS)endocardial signals processingmulti-parametric mappingOpenEP

Identifiers

PMID39001120
PMCPMC11244551

What OpenQuestion holds

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LicenceCC BY
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.