Evidence map›Paper›PMID 39076394›Full record

ReviewReviews in cardiovascular medicine2023

The Role of Cardiovascular Magnetic Resonance Imaging in Patients with Cardiac Arrhythmias.

Chrysovalantou Nikolaidou, Julian O M Ormerod, Antonios Ziakas, Stefan Neubauer, Theodoros D Karamitsos

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

5 authors.

Chrysovalantou NikolaidouOxford Centre for Clinical Magnetic Resonance Research, University of Oxford, John Radcliffe Hospital, Headington, OX3 9DU Oxford, UK.
Julian O M OrmerodDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, OX3 9DU Oxford, UK.
Antonios ZiakasFirst Department of Cardiology, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece.
Stefan NeubauerOxford Centre for Clinical Magnetic Resonance Research, University of Oxford, John Radcliffe Hospital, Headington, OX3 9DU Oxford, UK.
Theodoros D KaramitsosOxford Centre for Clinical Magnetic Resonance Research, University of Oxford, John Radcliffe Hospital, Headington, OX3 9DU Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac arrhythmias are associated with significant morbidity, mortality and poor quality of life. Cardiovascular magnetic resonance (CMR) imaging, with its unsurpassed capability of non-invasive tissue characterisation, high accuracy, and reproducibility of measurements, plays an integral role in determining the underlying aetiology of cardiac arrhytmias. CMR can reliably diagnose previous myocardial infarction, non-ischemic cardiomyopathy, characterise congenital heart disease and valvular pathologies, and also detect the underlying substrate concealed on conventional investigations in a significant proportion of patients with arrhythmias. Determining the underlying substrate of arrhythmia is of paramount importance for treatment planning and prognosis. However, CMR imaging in patients with irregular heart rates can be problematic. Understanding the different ways to overcome the limitations of CMR in arrhythmia is essential for providing high-quality imaging, comprehensive information, and definitive answers in this diverse group of patients.

Indexed as

cardiac arrhythmiascardiomyopathyCardiovascular magnetic resonancehigh-quality CMR imaging

Identifiers

PMID39076394
PMCPMC11262447

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.