Evidence map›Paper›PMID 33519522›Full record

ArticleFrontiers in physiology2020

M/M/Infinity Birth-Death Processes - A Quantitative Representational Framework to Summarize and Explain Phase Singularity and Wavelet Dynamics in Atrial Fibrillation.

Dhani Dharmaprani, Evan Jenkins, Martin Aguilar, Jing X Quah, Anandaroop Lahiri, Kathryn Tiver, Lewis Mitchell, Pawel Kuklik, Christian Meyer, Stephan Willems and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  5. Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrence.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

15 authors at 9 institutions in 5 countries.

Dhani DharmapraniCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Evan JenkinsCollege of Science and Engineering, Flinders University, Adelaide, SA, Australia.
Martin AguilarThe Research Center, Montréal Heart Institute and Université de Montréal, Montréal, QC, Canada.
Jing X QuahCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Anandaroop LahiriDepartment of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, SA, Australia.
Kathryn TiverDepartment of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, SA, Australia.
Lewis MitchellSchool of Mathematical Sciences, University of Adelaide, Adelaide, SA, Australia.
Pawel KuklikAsklepios Klinik, Hamburg, Germany.
Christian MeyerAsklepios Klinik, Hamburg, Germany.
Stephan WillemsUniversity Medical Centre, Hamburg, Germany.
Richard ClaytonInsigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.
Martyn NashBioengineering Institute, University of Auckland, Auckland, New Zealand.
Stanley NattelThe Research Center, Montréal Heart Institute and Université de Montréal, Montréal, QC, Canada.
Andrew D McGaviganCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Anand N GanesanCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Flinders University · AUAsklepios Kliniken Hamburg · DEFlinders Medical Centre · AUInsigneo · GBMontreal Heart Institute · CAUniversité de Montréal · CAUniversity Medical Center Hamburg-Eppendorf · DEUniversity of Adelaide · AUUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleA quantitative framework to summarize and explain the quasi-stationary population dynamics of unstable phase singularities (PS) and wavelets in human atrial fibrillation (AF) is at present lacking. Building on recent evidence showing that the formation and destruction of PS and wavelets in AF can be represented as renewal processes, we sought to establish such a quantitative framework, which could also potentially provide insight into the mechanisms of spontaneous AF termination.

objectivesHere, we hypothesized that the observed number of PS or wavelets in AF could be governed by a common set of renewal rate constants λ METHODS AND

resultsAF was studied in in a multimodality, multispecies study in humans, animal experimental models (rats and sheep) and Ramirez-Nattel-Courtemanche model computer simulations. We demonstrated: (i) that λ

conclusionM/M/∞ birth-death processes provide an accurate quantitative representational architecture to characterize PS and wavelet population dynamics in AF, by providing governing equations to understand the regeneration of PS and wavelets during sustained AF, as well as providing insight into the mechanism of spontaneous AF termination.

Indexed as

atrial fibrillationbirth–death processMarkov modelphase singularitywavelet

Identifiers

PMID33519522
PMCPMC7841497
OpenAlexW3119090381

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.