Evidence map›Paper›PMID 35874529›Full record

ArticleFrontiers in physiology2022

Non-Contact Intracardiac Potential Mapping Using Mesh-Based and Meshless Inverse Solvers.

Shu Meng, Judit Chamorro-Servent, Nicholas Sunderland, Jichao Zhao, Laura R Bear, Nigel A Lever, Gregory B Sands, Ian J LeGrice, Anne M Gillis, David M Budgett and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 5 institutions in 5 countries.

Shu MengAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Judit Chamorro-ServentDepartment of Mathematics, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Nicholas SunderlandAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Jichao ZhaoAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Laura R BearHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.
Nigel A LeverAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Gregory B SandsAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Ian J LeGriceAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Anne M GillisLibin Cardiovascular Research Institute, Calgary University, Calgary, AB, Canada.
David M BudgettAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Bruce H SmaillAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
University of Auckland · NZAuckland City Hospital · NZInserm · FRLibin Cardiovascular Institute of Alberta · CAUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common cardiac dysrhythmia and percutaneous catheter ablation is widely used to treat it. Panoramic mapping with multi-electrode catheters has been used to identify ablation targets in persistent AF but is limited by poor contact and inadequate coverage of the left atrial cavity. In this paper, we investigate the accuracy with which atrial endocardial surface potentials can be reconstructed from electrograms recorded with non-contact catheters. An

Indexed as

atrial fibrillationendocardial potentialsinverse problemnon-contact mappingopen basket catheters

Identifiers

PMID35874529
PMCPMC9301455
OpenAlexW4284881515

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.