Evidence map›Paper›PMID 36187938›Full record

ArticleFrontiers in network physiology2022

Stochastic termination of spiral wave dynamics in cardiac tissue.

Wouter-Jan Rappel, David E Krummen, Tina Baykaner, Junaid Zaman, Alan Donsky, Vijay Swarup, John M Miller, Sanjiv M Narayan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in network physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

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  12. Spatially Conserved Spiral Wave Activity During Human Atrial Fibrillation.Circulation. Arrhythmia and electrophysiology · 2024
    Article
  13. Article
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  17. The role of pulse timing in cardiac defibrillation.Frontiers in network physiology · 2022
    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

8 authors at 6 institutions in 1 country.

Wouter-Jan RappelDepartment of Physics, University of California, San Diego.
David E KrummenDepartment of Medicine, University of California, San Diego.
Tina BaykanerDepartment of Medicine and Cardiovascular Institute, Stanford University, Palo Alto, California.
Junaid ZamanDepartment of Medicine, Division of Cardiology, University of Southern California, Los Angeles, California.
Alan DonskyBaylor University, Dallas, Texas.
Vijay SwarupArizona Heart Rhythm Institute, Phoenix, Arizona.
John M MillerKrannert Institute, Indiana University, Indianapolis, Indiana.
Sanjiv M NarayanDepartment of Medicine and Cardiovascular Institute, Stanford University, Palo Alto, California.
Stanford University · USUniversity of California, San Diego · USArizona Heart Institute · USBaylor University Medical Center · USIndiana University – Purdue University Indianapolis · USUniversity of Southern California · US

Funding

The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Patient-Directed Computational Analysis of Atrial FibrillationR01HL122384 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOUTER-JAN RAPPEL · 2015 to 2026
$5.3M
Machine Learning in Atrial FibrillationR01HL149134 · NHLBI · STANFORD UNIVERSITY · PI NARAYAN, SANJIV M · 2020 to 2024
$3.8M
The Maintenance of Human Atrial FibrillationK24HL103800 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NARAYAN, SANJIV M · 2010 to 2019
$1.9M
Deep Neural Networks To Treat Atrial FibrillationK23HL145017 · NHLBI · STANFORD UNIVERSITY · PI BAYKANER, TINA · 2019 to 2023
$968k
Determining strength and temporal stability of rotational and focal sources during human atrial fibrillationR21HL145500 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RAPPEL, WOUTER-JAN · 2019 to 2020
$236k
NHLBI NIH HHS K23 HL145017NHLBI NIH HHS K24 HL103800NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL122384NHLBI NIH HHS R01 HL149134NHLBI NIH HHS R21 HL145500
6 · The paper itself

Abstract

Rotating spiral waves are self-organized features in spatially extended excitable media and may play an important role in cardiac arrhythmias including atrial fibrillation (AF). In homogeneous media, spiral wave dynamics are perpetuated through spiral wave breakup, leading to the continuous birth and death of spiral waves, but have a finite probability of termination. In non-homogeneous media, however, heterogeneities can act as anchoring sources that result in sustained spiral wave activity. It is thus unclear how and if AF may terminate following the removal of putative spiral wave sources in patients. Here, we address this question using computer simulations in which a stable spiral wave is trapped by an heterogeneity and is surrounded by spiral wave breakup. We show that, following ablation of spatial heterogeneity to render that region of the medium unexcitable, termination of spiral wave dynamics is stochastic and Poisson-distributed. Furthermore, we show that the dynamics can be accurately described by a master equation using birth and death rates. To validate these predictions

Identifiers

PMID36187938
PMCPMC9524168
OpenAlexW4210419588

What OpenQuestion 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 OpenQuestion graph.