Evidence map›Paper›PMID 34646149›Full record

ArticleFrontiers in physiology2021

Time-Averaged Wavefront Analysis Demonstrates Preferential Pathways of Atrial Fibrillation, Predicting Pulmonary Vein Isolation Acute Response.

Caroline H Roney, Nicholas Child, Bradley Porter, Iain Sim, John Whitaker, Richard H Clayton, Jacob I Laughner, Allan Shuros, Petr Neuzil, Steven E Williams and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
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

17 authors at 6 institutions in 3 countries.

Caroline H RoneySchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Nicholas ChildSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Bradley PorterSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Iain SimSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
John WhitakerSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Richard H ClaytonINSIGNEO Institute for In Silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.
Jacob I LaughnerBoston Scientific Corp, St. Paul, MN, United States.
Allan ShurosBoston Scientific Corp, St. Paul, MN, United States.
Petr NeuzilDepartment of Cardiology, Na Holmolce Hospital, Prague, Czechia.
Steven E WilliamsSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Reza S RazaviSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Mark O'NeillSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Christopher A RinaldiDepartment of Cardiology, Guy's and St Thomas' Hospital, London, United Kingdom.
Peter TaggartInstitute of Cardiovascular Science, University College London, London, United Kingdom.
Matt WrightDepartment of Cardiology, Guy's and St Thomas' Hospital, London, United Kingdom.
Jaswinder S GillDepartment of Cardiology, Guy's and St Thomas' Hospital, London, United Kingdom.
Steven A NiedererSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
King's College London · GBSt Thomas' Hospital · GBBoston Scientific (United States) · USInsigneo · GBNa Homolce Hospital · CZUniversity College London · GB

Funding

British Heart Foundation FS/20/26/34952Medical Research Council MR/S015086/1Wellcome Trust
6 · The paper itself

Abstract

Electrical activation during atrial fibrillation (AF) appears chaotic and disorganised, which impedes characterisation of the underlying substrate and treatment planning. While globally chaotic, there may be local preferential activation pathways that represent potential ablation targets. This study aimed to identify preferential activation pathways during AF and predict the acute ablation response when these are targeted by pulmonary vein isolation (PVI). In patients with persistent AF (

Indexed as

atrial fibrillation mechanismscatheter ablationcomputational modellingpulmonary vein isolationsignal processing

Identifiers

PMID34646149
PMCPMC8503618
OpenAlexW3202417385

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.