Evidence map›Paper›PMID 40726610›Full record

ArticleEuropean heart journal. Case reports2025

Optimizing cardioneuroablation candidate selection: a case report using tilt-table testing with Russo's Fast Italian Protocol.

Dorina Stangl, Veronica Buia, Janusch Walaschek, Dirk Bastian, Laura Vitali-Serdoz

Abstract readCase Reports
In one paragraph

Article in European heart journal. Case reports, 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

5 authors.

Dorina StanglMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, Fürth 90766, Germany.ORCID https://orcid.org/0009-0006-1347-6739
Veronica BuiaMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, Fürth 90766, Germany.
Janusch WalaschekMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, Fürth 90766, Germany.
Dirk BastianMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, Fürth 90766, Germany.
Laura Vitali-SerdozMedizinische Klinik I, Klinikum Fürth, Academic Teaching Hospital of the Friedrich-Alexander-University Erlangen-Nürnberg, Jakob-Henle Str. 1, Fürth 90766, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardioneuroablation (CNA) has emerged as a promising therapeutic alternative to conventional pacing therapy for vasovagal syncope (VVS). Accurate patient selection and diagnosis are crucial for achieving optimal outcomes. The lack of a universally accepted protocol specifically tailored for selecting patients for CNA presents a gap in the current guidelines. Case summary: This case is about a 44-year-old male with recurrent severe syncope. Head-up tilt-table testing utilizing the newly established Fast Italian Protocol (FIP) by Russo Discussion: This case highlights the utility of tilt testing and the efficacy of the FIP as an efficient diagnostic tool for evaluating cardioinhibitory vagal responses. It supports its role in patient selection for CNA and additionally presents a promising option for a non-invasive follow-up assessment, though further investigation is needed. Its simplicity and efficiency position it as a promising candidate for standardization as the primary diagnostic tool in CNA workflows.

Indexed as

CardioneuroablationCase reportFast Italian Protocol (FIP)Head-up tilt-table test (HUTT)

Identifiers

PMID40726610
PMCPMC12301619

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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.