Evidence map›Paper›PMID 39739521›Full record

ArticleJournal of cardiovascular electrophysiology2025

Quantification of atrial cardiomyopathy disease severity by electroanatomic voltage mapping and cardiac magnetic resonance imaging.

Iain Sim, Jose Alonso Solis Lemus, Christopher O'Shea, Orod Razeghi, John Whitaker, Rahul Mukherjee, Daniel O'Hare, Noel Fitzpatrick, James Harrison, Ali Gharaviri and 12 more

Abstract read
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Effect of fibrosis regionality on atrial fibrillation recurrence: insights from DECAAF II.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 · 2023
    Trial
  2. Article
  3. Atrial electrophysiology in hypertrophic cardiomyopathy: current insights and knowledge gaps.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Review
  4. Assessment of Left Atrial Fibrosis With Cardiac MRI.Journal of magnetic resonance imaging : JMRI · 2025
    Article
  5. Article
  6. 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

22 authors.

Iain SimDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.ORCID 0000-0001-7090-4011
Jose Alonso Solis LemusDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Christopher O'SheaDepartment of Cardiovascular Scienes, University of Birmingham, Birmingham, UK.
Orod RazeghiDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.ORCID 0000-0003-4989-5565
John WhitakerDepartment of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Rahul MukherjeeDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Daniel O'HareDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Noel FitzpatrickDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
James HarrisonDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Ali GharaviriCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Louisa O'NeillDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.ORCID 0000-0002-7936-9577
Irum KotadiaDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Caroline H RoneyDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Neil GrubbCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
David E NewbyCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Marc R DweckCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Pier-Giorgio MasciDepartment of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Matthew WrightDepartment of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Amedeo ChiribiriDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Steven NiedererDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Mark O'NeillDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.ORCID 0000-0002-6070-7177
Steven E WilliamsCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.

Funding

British Heart Foundation FS/20/26/34952British Heart Foundation RG/16/10/32375Wellcome Trust
6 · The paper itself

Abstract

introductionAtrial late gadolinium enhancement (Atrial-LGE) and electroanatomic voltage mapping (Atrial-EAVM) quantify the anatomical and functional extent of atrial cardiomyopathy. We aimed to explore the relationships between, and outcomes from, these modalities in patients with atrial fibrillation undergoing ablation.

methodsPatients undergoing first-time ablation had disease severities quantified using both Atrial-LGE and Atrial-EAVM. Correlations between modalities and their relationships with clinical features and arrhythmia recurrence were assessed.

resultsIn 123 atrial fibrillation patients (60 ± 10 years), Atrial-EAVM was moderately correlated with Atrial-LGE (r = .34, p < .001), with a mean fibrosis burden of 47.2% ± 14.91%. Agreement was strongest in the highest tertile of fibrosis burden (mean of differences 16.8% (95% CI = -24.4% to 57.9%, p = .433). Fibrosis burden was greater for Atrial-LGE than Atrial-EAVM (50.7% ± 10.7% vs. 13.7% ± 7.13%, p < .005) for patients in the lowest tertile who were younger, had smaller atria and a greater frequency of paroxysmal atrial fibrillation. Both Atrial EAVM and Atrial LGE were associated with recurrence of arrhythmia following ablation (Atrial-LGE HR = 1.02 (95% CI = 1.01-1.04), p = .047; Atrial-EAVM HR = 1.02 (95% CI = 1.005-1.03), p = .007). A low fibrosis burden (<15%) by Atrial-EAVM identified patients with very low arrhythmia recurrence. In contrast, a much higher fibrosis burden (>66%) by Atrial-LGE identified patients failing to respond to ablation.

conclusionsWe demonstrate for the first time that the level of agreement between Atrial-EAVM and Atrial-LGE is dependent on the level of atrial cardiomyopathy disease severity. The functional consequences of atrial cardiomyopathy are most evident in patients with the highest anatomical extent of disease.

Indexed as

Action PotentialsAtrial FibrillationCardiomyopathiesElectrophysiologic Techniques, CardiacHeart AtriaMagnetic Resonance ImagingAgedCatheter AblationContrast MediaFemaleFibrosisHumansMaleMiddle AgedPredictive Value of TestsRecurrenceContrast Mediaatrial fibrillationbipolar voltagefibrosislate gadolinium enhancement

Identifiers

PMID39739521
PMCPMC11837893

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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.