Evidence map›Paper›PMID 35314732›Full record

ArticleScientific reports2022

Spectral characterisation of ventricular intracardiac potentials in human post-ischaemic bipolar electrograms.

Giulia Baldazzi, Marco Orrù, Giuliana Solinas, Mirko Matraxia, Graziana Viola, Danilo Pani

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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. Article
  2. Near-field detection and peak frequency metric for substrate and activation mapping of ventricular tachycardias in two- and three-dimensional circuits.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    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

6 authors.

Giulia BaldazziDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova, Genova, Italy. giulia.baldazzi@unica.it.
Marco OrrùDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, Cagliari, Italy.
Giuliana SolinasDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Mirko MatraxiaMedical Concept Lab, Sassari, Italy.
Graziana ViolaDivision of Cardiology, San Francesco Hospital, Nuoro, Italy.
Danilo PaniDepartment of Electrical and Electronic Engineering (DIEE), University of Cagliari, Cagliari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal ventricular potentials (AVPs) are frequently referred to as high-frequency deflections in intracardiac electrograms (EGMs). However, no scientific study performed a deep spectral characterisation of AVPs and physiological potentials in real bipolar intracardiac recordings across the entire frequency range imposed by their sampling frequency. In this work, the power contributions of post-ischaemic physiological potentials and AVPs, along with some spectral features, were evaluated in the frequency domain and then statistically compared to highlight specific spectral signatures for these signals. To this end, 450 bipolar EGMs from seven patients affected by post-ischaemic ventricular tachycardia were retrospectively annotated by an experienced cardiologist. Given the high variability of the morphologies observed, three different sub-classes of AVPs and two sub-categories of post-ischaemic physiological potentials were considered. All signals were acquired by the CARTO

Indexed as

Catheter AblationTachycardia, VentricularElectrocardiographyElectrophysiologic Techniques, CardiacHeart VentriclesHumansRetrospective Studies

Identifiers

PMID35314732
PMCPMC8938475

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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.