Evidence map›Paper›PMID 41766681›Full record

SynthesisThe Cochrane database of systematic reviews2026

Artificial intelligence-enabled electrocardiography to predict impending episodes of ventricular tachycardia in individuals under continuous heart rhythm monitoring.

Panteleimon Pantelidis, Evangelos Oikonomou, Theodoros G Papaioannou, Panagiotis Papapetrou, Maria Bampa, Ioanna Miliou, Athina Gkoliopoulou, Ioannis Gialamas, Michael Spartalis, Polychronis Dilaveris and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2026. 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

11 authors.

Panteleimon PantelidisThird Department of Cardiology, Sotiria Chest Disease Hospital, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0001-5394-832X
Evangelos OikonomouThird Department of Cardiology, Sotiria Chest Disease Hospital, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0001-8079-0599
Theodoros G PapaioannouFirst Department of Cardiology, Ippokrateio General Hospital, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-1552-3168
Panagiotis PapapetrouDepartment of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-4632-4815
Maria BampaDepartment of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.ORCID 0000-0003-0927-8239
Ioanna MiliouDepartment of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-1357-1967
Athina GkoliopoulouThird Department of Cardiology, Sotiria Chest Disease Hospital, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0001-8137-700X
Ioannis GialamasThird Department of Cardiology, Sotiria Chest Disease Hospital, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0009-0003-1700-8244
Michael SpartalisThird Department of Cardiology, Sotiria Chest Disease Hospital, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-7442-838X
Polychronis DilaverisFirst Department of Cardiology, Ippokrateio General Hospital, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0003-0399-4111
Gerasimos SiasosThird Department of Cardiology, Sotiria Chest Disease Hospital, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0001-7601-8870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis is a protocol for a Cochrane Review (prognosis). The objectives are as follows: To identify and evaluate AI-based prognostic models, in development and external validation studies, which predict impending episodes of ventricular tachycardia from continuous surface electrocardiogram (ECG) recordings in individuals at elevated risk for ventricular arrhythmias due to any relevant underlying condition.

Indexed as

Artificial IntelligenceElectrocardiographyTachycardia, VentricularHumansPrognosis

Identifiers

PMID41766681
PMCPMC12951566

What OpenQuestion holds

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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.