Evidence map›Paper›PMID 34207123›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Cardiac Magnetic Resonance to Detect the Underlying Substrate in Patients with Frequent Idiopathic Ventricular Arrhythmias.

Chrysovalantou Nikolaidou, Christos P Kotanidis, Rohan Wijesurendra, Joana Leal-Pelado, Konstantinos Kouskouras, Vassilios P Vassilikos, Haralambos Karvounis, Ntobeko Ntusi, Charalambos Antoniades, Stefan Neubauer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Predictors of Myocardial Fibrosis Detected by CMR in Patients With Idiopathic PVCs.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2024
    Article
  4. Article
  5. Review
  6. Strain Imaging and Ventricular Arrhythmia.Diagnostics (Basel, Switzerland) · 2023
    Review
  7. 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

11 authors at 3 institutions in 3 countries.

Chrysovalantou NikolaidouOxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, UK.
Christos P KotanidisRadcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford OX3 9DU, UK.
Rohan WijesurendraOxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, UK.
Joana Leal-PeladoOxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, UK.
Konstantinos KouskourasDepartment of Radiology, AHEPA Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.
Vassilios P VassilikosThird Department of Cardiology, Hippokration Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 43 Thessaloniki, Greece.ORCID 0000-0003-0885-9170
Haralambos KarvounisFirst Department of Cardiology, AHEPA Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.
Ntobeko NtusiDepartment of Medicine, University of Cape Town and Groote Schuur Hospital, 7925 Cape Town, South Africa.
Charalambos AntoniadesRadcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford OX3 9DU, UK.
Stefan NeubauerOxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, UK.
Theodoros D KaramitsosFirst Department of Cardiology, AHEPA Hospital, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.ORCID 0000-0002-4658-5273
Aristotle University of Thessaloniki · GRUniversity of Oxford · GBUniversity of Cape Town · ZA

Funding

British Heart Foundation CH/F/21/90009British Heart Foundation RG/F/21/110040British Heart Foundation TG/16/3/32687
6 · The paper itself

Abstract

backgroundA routine diagnostic work-up does not identify structural abnormalities in a substantial proportion of patients with idiopathic ventricular arrhythmias (VAs). We investigated the added value of cardiac magnetic resonance (CMR) imaging in this group of patients.

methodsA single-centre prospective study was undertaken of 72 patients (mean age 46 ± 16 years; 53% females) with frequent premature ventricular contractions (PVCs ≥ 500/24 h) and/or non-sustained ventricular tachycardia (NSVT), an otherwise normal electrocardiogram, normal echocardiography and no coronary artery disease.

resultsCMR provided an additional diagnostic yield in 54.2% of patients. The most prevalent diagnosis was previous myocarditis (23.6%) followed by possible PVC-related cardiomyopathy (20.8%), non-ischaemic cardiomyopathy (8.3%) and ischaemic heart disease (1.4%). The predictors of abnormal CMR findings were male gender, age and PVCs/NSVT non-outflow tract-related or with multiple morphologies. Patients with VAs had an impaired peak left ventricular (LV) global radial strain (GRS) compared with the controls (28.88% (IQR: 25.87% to 33.97%) vs. 36.65% (IQR: 33.19% to 40.2%),

conclusionCMR reveals abnormalities in a significant proportion of patients with frequent idiopathic VAs. Male gender, age and non-outflow tract PVC origin can be clinical indicators for CMR referral.

Indexed as

cardiac magnetic resonancefeature-tracking CMRmyocardial strainpremature ventricular contractionsventricular arrhythmia

Identifiers

PMID34207123
PMCPMC8233842
OpenAlexW3176735138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.