Evidence map›Paper›PMID 39779792›Full record

ArticleScientific reports2025

Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion.

F Plesinger, S Hassouna, Z Carna, J Vesela, R Smisek, E Vargova, V Sobota, Z Koscova, P Nejedly, I Viscor and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Prediction of Sinus Rhythm Maintenance After Electrical Cardioversion Using Spectral and Vector Cardiographic ECG Analysis.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

14 authors.

F PlesingerInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic. fplesinger@isibrno.cz.
S HassounaCardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic.
Z CarnaCardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic.
J VeselaCardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic.
R SmisekInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
E VargovaInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
V SobotaIHU-LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.
Z KoscovaInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
P NejedlyInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
I ViscorInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
F W PrinzenDepartment of Cardiology, Maastricht University Medical Center, Maastricht, The Netherlands.
P JurakInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
J HalamekInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
P OsmancikCardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic.

Funding

Agence Nationale de la Recherche ANR-10-IAHU-04Akademie Věd České Republiky RVO:68081731Ministerstvo Školství, Mládeže a Tělovýchovy LX22NPO5104Univerzita Karlova v Praze Cooperatio - Cardiovascular Science
6 · The paper itself

Abstract

Electrical cardioversion presents one of the treatment options for atrial fibrillation (AF). However, the early recurrence rate is high, reaching ~40% three months after the procedure. Features based on vectorcardiographic signals were explored to find association with early recurrence of AF. Eighty-four patients with non-paroxysmal AF referred to electrical cardioversion were prospectively studied; early AF recurrence was present in 40 (47.6%). Patients underwent 24-h Holter ECG monitoring three months after the procedure to assess AF recurrence. Pre-procedural 12-lead ECGs (10 s, 1 kHz) were recorded and automatically analyzed. We explored associations of VCG-based features with early AF recurrence. Two features were strongly associated with AF recurrence: (1) a mean VCG (y-axis) signal slope in a window starting 145 ms before QRS center, lasting for 190 ms (AUC 0.778, p < 0.001), and (2) a mean VCG (z-axis) signal slope in a window starting 60 ms after QRS center, lasting for 465 ms (AUC 0.744, p < 0.001). These features showed higher association to the outcome than eighteen baseline clinical features. Our approach revealed features based on a slope of vectorcardiographic signals. This work also suggests that state of ventricles strongly affects the AF recurrence after electrical cardioversion.

Indexed as

Atrial FibrillationElectric CountershockRecurrenceVectorcardiographyAgedElectrocardiography, AmbulatoryFemaleHumansMaleMiddle AgedProspective StudiesTreatment OutcomeAtrial fibrillationCardioversionECGSignal processingVCG

Identifiers

PMID39779792
PMCPMC11711394

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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.