Evidence map›Paper›PMID 40059433›Full record

ArticleFuture cardiology2025

First experience with a new tool for automatic mapping of fragmented signals in a case report of cardioneuroablation.

Helge Haarmann, Besir Hasan, Nibras Soubh, Eva Rasenack, Simon Schlögl, Markus Zabel, Leonard Bergau

Abstract readCase Reports
In one paragraph

Article in Future cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Helge HaarmannClinic for Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.ORCID 0009-0000-0566-5827
Besir HasanClinic for Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.
Nibras SoubhClinic for Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.
Eva RasenackClinic for Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.
Simon SchlöglClinic for Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.
Markus ZabelClinic for Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.
Leonard BergauClinic for Cardiology and Pneumology, University Medical Center Göttingen, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardioneuroablation is a treatment option for patients with recurrent vasovagal syncope (VVS). Ablation targets of parasympathetic ganglionated plexi (GP) adjacent to the right and left atrial walls and distal endocardial inputs of these GP can be identified both by their anatomical localization and by intracardiac mapping of fragmented electrogram signals. In this case of a successful cardioneuroablation of a 22-year-old patient suffering from recurrent VVS, a new algorithm for automatic mapping of fragmented signals (CARTO Elevate Module, Biosense Webster) was used to identify areas of GP. In this first experience, automatic tags of fragmented signals were matching well with anatomically guided ablation points. This new tool for automatic identification of fragmented signals may facilitate and improve cardioneuroablation procedures.

Indexed as

Catheter AblationSyncope, VasovagalAlgorithmsElectrocardiographyElectrophysiologic Techniques, CardiacHumansMaleYoung AdultCardioneuroablationCARTO elevatecase reportcomplex signalsradiofrequency ablationvasovagal syncope

Identifiers

PMID40059433
PMCPMC11980472

What OpenQuestion holds

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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.