Evidence map›Paper›PMID 36966040›Full record

ReviewJournal of cardiovascular computed tomography

State of the art paper: Cardiac computed tomography of the left atrium in atrial fibrillation.

Neil Bodagh, Michelle C Williams, Keeran Vickneson, Ali Gharaviri, Steven Niederer, Steven E Williams

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of cardiovascular computed tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  9. Cardiac CT for electrophysiological interventions.The international journal of cardiovascular imaging · 2025
    Review
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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

6 authors at 2 institutions in 1 country.

Neil BodaghSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. Electronic address: neil.bodagh@kcl.ac.uk.
Michelle C WilliamsCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Keeran VicknesonCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Ali GharaviriCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Steven NiedererSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Steven E WilliamsSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
King's College London · GBUniversity of Edinburgh · GB

Funding

British Heart Foundation FS/ICRF/20/26002
6 · The paper itself

Abstract

The clinical spectrum of atrial fibrillation means that a patient-individualized approach is required to ensure optimal treatment. Cardiac computed tomography can accurately delineate atrial structure and function and could contribute to a personalized care pathway for atrial fibrillation patients. The imaging modality offers excellent spatial resolution and has been utilised in pre-, peri- and post-procedural care for patients with atrial fibrillation. Advances in temporal resolution, acquisition times and analysis techniques suggest potential expanding roles for cardiac computed tomography in the future management of patients with atrial fibrillation. The aim of the current review is to discuss the use of cardiac computed tomography in atrial fibrillation in pre-, peri- and post-procedural settings. Potential future applications of cardiac computed tomography including atrial wall thickness assessment and epicardial fat volume quantification are discussed together with emerging analysis techniques including computational modelling and machine learning with attention paid to how these developments may contribute to a personalized approach to atrial fibrillation management.

Indexed as

Atrial FibrillationCatheter AblationHeart AtriaHumansPericardiumPredictive Value of TestsTomography, X-Ray ComputedTreatment OutcomeAtrial fibrillationCatheter ablationCritical pathwaysMachine learningX-ray computed tomography

Identifiers

PMID36966040
PMCPMC10689253
OpenAlexW4360612686

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.