Evidence map›Paper›PMID 38939983›Full record

ArticleCirculation. Arrhythmia and electrophysiology2024

Observable Atrial and Ventricular Fibrillation Episode Durations Are Conformant With a Power Law Based on System Size and Spatial Synchronization.

Dhani Dharmaprani, Kathryn Tiver, Sobhan Salari Shahrbabaki, Evan V Jenkins, Darius Chapman, Campbell Strong, Jing X Quah, Ivaylo Tonchev, Luke O'Loughlin, Lewis Mitchell and 10 more

Abstract read
In one paragraph

Article in Circulation. Arrhythmia and electrophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Spatial Autocorrelation Dimension (Arrhythmia & electrophysiology review · 2026
    Review
  2. Article
  3. 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

20 authors.

Dhani DharmapraniCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
Kathryn TiverCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).ORCID 0000-0003-3340-2113
Sobhan Salari ShahrbabakiCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).ORCID 0000-0002-5426-6811
Evan V JenkinsCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
Darius ChapmanCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
Campbell StrongCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).ORCID 0009-0007-5623-2563
Jing X QuahCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
Ivaylo TonchevCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).ORCID 0000-0002-4405-4698
Luke O'LoughlinAustralian Institute for Machine Learning (D.D.).
Lewis MitchellAustralian Institute for Machine Learning (D.D.).ORCID 0000-0001-8191-1997
Matthew TungDepartment of Cardiovascular Medicine, Sunshine Coast University Hospital, Birtinya (M.T.).ORCID 0000-0002-7088-226X
Waheed AhmadDepartment of Cardiovascular Medicine, Princess Alexandra Hospital, Queensland (W.A.).ORCID 0000-0003-4407-7889
Nik StoyanovDepartment of Cardiology, Fiona Stanley Hospital, Perth, Western Australia, Australia (N.S.).ORCID 0009-0005-4588-3526
Martin AguilarDepartment of Medicine and Research Centre, Montréal Heart Institute, Canada (M.A., S.N.).
Steven A NiedererThe National Heart and Lung Institute, Imperial College London, Alan Turing Institute (S.A.N.).
Caroline H RoneySchool of Engineering and Material Science, Queen Mary University of London, United Kingdom (C.H.R.).
Martyn P NashAuckland Bioengineering Institute, University of Auckland, New Zealand (M.P.N.).ORCID 0000-0002-6466-4936
Richard H ClaytonInsigneo Institute for in-silico Medicine, Department of Computer Science, University of Sheffield, United Kingdom (R.C.).ORCID 0000-0002-8438-7518
Stanley NattelDepartment of Medicine and Research Centre, Montréal Heart Institute, Canada (M.A., S.N.).ORCID 0000-0002-5565-3311
Anand N GanesanCollege of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).ORCID 0000-0002-2734-3025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) and ventricular fibrillation (VF) episodes exhibit varying durations, with some spontaneously ending quickly while others persist. A quantitative framework to explain episode durations remains elusive. We hypothesized that observable self-terminating AF and VF episode lengths, whereby durations are known, would conform with a power law based on the ratio of system size and correlation length ([Formula: see text].

methodsUsing data from computer simulations (2-dimensional sheet and 3-dimensional left-atrial), human ischemic VF recordings (256-electrode sock, n=12 patients), and human AF recordings (64-electrode basket-catheter, n=9 patients; 16-electrode high definition-grid catheter, n=42 patients), conformance with a power law was assessed using the Akaike information criterion, Bayesian information criterion, coefficient of determination (R

resultsIn all computer models, the relationship between episode durations and [Formula: see text] was conformant with a power law (Aliev-Panfilov R

conclusionsObservable fibrillation episode durations are conformant with a power law based on system size and correlation length.

Indexed as

Atrial FibrillationVentricular FibrillationAction PotentialsAgedBayes TheoremComputer SimulationElectrophysiologic Techniques, CardiacFemaleHeart Conduction SystemHeart RateHumansMaleMiddle AgedModels, CardiovascularTime FactorsAtrial fibrillationmechanismsterminationventricular fibrillation

Identifiers

PMID38939983
PMCPMC11254206

What OpenQuestion holds

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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 OpenQuestion graph.