Evidence map›Paper›PMID 36712155›Full record

ReviewEuropean heart journal. Digital health2022

ESC Working Group on e-Cardiology Position Paper: accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke patients

Polychronis E Dilaveris, Christos Konstantinos Antoniou, Enrico G Caiani, Ruben Casado-Arroyo, Andreu Μ Climent, Matthijs Cluitmans, Martin R Cowie, Wolfram Doehner, Federico Guerra, Magnus T Jensen and 8 more

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in European heart journal. Digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Identifying patients at low risk for atrial fibrillation after cryptogenic stroke: the PAVA score.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 · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 16 institutions in 12 countries.

Polychronis E DilaverisFirst Department of Cardiology, Hippokration Hospital, National and Kapodistrian University of Athens, 114 Vas. Sofias Avenue, 11527 Athens, Greece.ORCID https://orcid.org/0000-0003-0399-4111
Christos Konstantinos AntoniouFirst Department of Cardiology, Hippokration Hospital, National and Kapodistrian University of Athens, 114 Vas. Sofias Avenue, 11527 Athens, Greece.ORCID https://orcid.org/0000-0003-4861-2404
Enrico G CaianiPolitecnico di Milano, Department of Electronics, Information and Biomedical Engineering, Milan, Italy.
Ruben Casado-ArroyoDepartment of Cardiology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Andreu Μ ClimentITACA Institute, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain.
Matthijs CluitmansCARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands.
Martin R CowieDepartment of Cardiology, Royal Brompton Hospital, London, United Kingdom.
Wolfram DoehnerBerlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Center for Regenerative Therapies (BCRT), Charitéplatz 1, 10117 Berlin, Germany.
Federico GuerraCardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital 'Ospedali Riuniti Umberto I-Lancisi-Salesi', Ancona, Italy.ORCID https://orcid.org/0000-0001-5394-1312
Magnus T JensenDepartment of Cardiology, Copenhagen University Hospital Amager & Hvidovre, Denmark.
Zbigniew KalarusDMS in Zabrze, Department of Cardiology, Medical University of Silesia, Katowice, Poland.
Emanuela Teresa LocatiArrhythmology & Electrophysiology Department, IRCCS Policlinico San Donato, Milan, Italy.
Pyotr PlatonovDepartment of Cardiology, Clinical Sciences, Lund University Hospital, Lund, Sweden.
Iana SimovaCardiology Clinic, Heart and Brain Centre of Excellence-University Hospital, Medical University Pleven, Pleven, Bulgaria.
Renate B SchnabelDepartment of Cardiology, University Heart and Vascular Centre Hamburg-Eppendorf, Hamburg, Germany.
Mark SchuuringDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-2843-1852
Georgios TsivgoulisSecond Department of Neurology, 'Attikon' University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Joost LumensCARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0001-8129-7384
Maastricht University Medical Centre · NLNational and Kapodistrian University of Athens · GRAmager Hospital · DKAmsterdam University Medical Centers · NLGerman Centre for Cardiovascular Research · DEInstitute of Electronics, Computer and Telecommunication Engineering · ITIRCCS Policlinico San Donato · ITLund University · SEMarche Polytechnic University · ITMedical University of Silesia · PLMedical University Pleven · BGRoyal Brompton Hospital · GBUniversität Hamburg · DEUniversitat Politècnica de València · ESUniversité Libre de Bruxelles · BEUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of subclinical atrial fibrillation as a cause of cryptogenic stroke is unambiguously established. Long-term electrocardiogram (ECG) monitoring remains the sole method for determining its presence following a negative initial workup. This position paper of the European Society of Cardiology Working Group on e-Cardiology first presents the definition, epidemiology, and clinical impact of cryptogenic ischaemic stroke, as well as its aetiopathogenic association with occult atrial fibrillation. Then, classification methods for ischaemic stroke will be discussed, along with their value in providing meaningful guidance for further diagnostic efforts, given disappointing findings of studies based on the embolic stroke of unknown significance construct. Patient selection criteria for long-term ECG monitoring, crucial for determining pre-test probability of subclinical atrial fibrillation, will also be discussed. Subsequently, the two major classes of long-term ECG monitoring tools (non-invasive and invasive) will be presented, with a discussion of each method's pitfalls and related algorithms to improve diagnostic yield and accuracy. Although novel mobile health (mHealth) devices, including smartphones and smartwatches, have dramatically increased atrial fibrillation detection post ischaemic stroke, the latest evidence appears to favour implantable cardiac monitors as the modality of choice; however, the answer to whether they should constitute the

Indexed as

Atrial fibrillation detectionCardiac rhythm monitoringCryptogenic strokeECG monitoringImplantable cardiac monitorsmHealthRemote monitoring

Identifiers

PMID36712155
PMCPMC9707962
OpenAlexW4293078248

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.