Evidence mapPaperPMID 31177816Full record

ArticleCirculation. Cardiovascular imaging2019

Periatrial Fat Quality Predicts Atrial Fibrillation Ablation Outcome.

Luisa Ciuffo, Hieu Nguyen, Mateus Diniz Marques, Konstantinos N Aronis, Bhradeev Sivasambu, Henrique D de Vasconcelos, Susumu Tao, David D Spragg, Joseph E Marine, Ronald D Berger and 3 more

2 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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.

NCT07178145 phase4recruitingstarted 2025, after this paper: background citation

MRI of Epicardial Adipose Tissue Composition: Development of Methods and Application to Heart Failure With Preserved Ejection Fraction

Ran2025Enrolled192Registered outcomes6Posted comparisons0ConditionsEpicardial Adipose Tissue, Heart Failure Preserved Ejection FractionArmsGLP-1RA
Open the trial in the graph
NCT04186169 naterminatednot on this mapstarted 2021, after this paper: background citation

Preliminary Studies to Evaluate the Impact of Peri-Atrial Inflammatory Fat Tissue on Atrial Fibrillation Using Ultra-High Resolution CT

TypeinterventionalSponsorJohns Hopkins UniversityRan2021 to 2024Enrolled4ConditionsAtrial FibrillationArmsCatheter ablation
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Esophageal injury, perforation, and fistula formation following atrial fibrillation ablation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024
    Pooled it
  2. Relationships between three-dimensional fibrosis distribution, atrial adiposity, and voltage abnormalities associated with persistent atrial fibrillation.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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  17. How to ablate the septo-pulmonary bundle: a case-based review of percutaneous ablation strategies to achieve roof line block.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
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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

13 authors at 1 institution in 1 country.

Luisa CiuffoDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Hieu NguyenDepartment of Biomedical Engineering (H.N., R.D.B.), Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.
Mateus Diniz MarquesDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Konstantinos N AronisDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Bhradeev SivasambuDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Henrique D de VasconcelosDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Susumu TaoDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
David D SpraggDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Joseph E MarineDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Ronald D BergerDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Joao A C LimaDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Hugh CalkinsDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Hiroshi AshikagaDepartment of Cardiology, Cardiac Arrhythmia Service (L.C., M.D.M., K.N.A., B.S., H.D.d.V., S.T., D.D.S., J.E.M., R.D.B., J.A.C.L., H.C.), Johns Hopkins University School of Medicine, Baltimore, MD.
Johns Hopkins University · US

Funding

PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · JOHNS HOPKINS UNIVERSITY · 1985 to 2025
$4.3M
NHLBI NIH HHS R56 HL138429NHLBI NIH HHS T32 HL007227
6 · The paper itself

Abstract

Background Previous studies showed that the quantity of the left atrial (LA) periatrial fat tissue predicts recurrence after catheter ablation of atrial fibrillation (AF). We hypothesized that the quality of the LA periatrial fat tissue, measured by the mean computed tomography attenuation, predicts recurrence after AF ablation independent of the quantity of the LA periatrial fat tissue. Methods We included 143 consecutive patients with drug-refractory AF referred for the first catheter ablation of AF (62.2±10 years, 40% nonparoxysmal AF). All participants had a preablation cardiac computed tomography. We measured the quantity of the LA periatrial fat tissue by the area (millimeter square) and the quality by the mean computed tomography attenuation (Hounsfield units) in a standard 4-chamber view. Results Patients with AF recurrence after ablation (n=57) had a significantly larger fat area (167.6 [interquartile range, 124.1-255] versus 145.4 [95.6-229.3] mm

Indexed as

Adipose TissueAtrial FibrillationCatheter AblationFemaleHeart AtriaHumansMaleMiddle AgedPredictive Value of TestsRecurrenceTomography, X-Ray ComputedTreatment Outcomeatrial fibrillationbody mass indexcatheter ablationpatient selectionrisk factors

Identifiers

PMID31177816
PMCPMC6559378
OpenAlexW2950442027

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.