Evidence map›Paper›PMID 31165967›Full record

ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2020

Quantitative assessment of left atrial scar using high-density voltage mapping and a novel automated voltage analysis tool.

Szilvia Herczeg, Katie Walsh, John J Keaney, Edward Keelan, John Travers, Gabor Szeplaki, Joseph Galvin

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Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Serum-Soluble ST2 Is a Novel Biomarker for Evaluating Left Atrial Low-Voltage Zone in Paroxysmal Atrial Fibrillation.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

7 authors at 2 institutions in 3 countries.

Szilvia HerczegHeart and Vascular Center, Semmelweis University, 68 Varosmajor Street, Budapest, 1122, Hungary.
Katie WalshHeart and Vascular Centre, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
John J KeaneyHeart and Vascular Centre, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
Edward KeelanHeart and Vascular Centre, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
John TraversHeart and Vascular Centre, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
Gabor SzeplakiHeart and Vascular Centre, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
Joseph GalvinHeart and Vascular Centre, Mater Private Hospital, Eccles Street, Dublin 7, Ireland. jgalvin@materprivate.ie.ORCID http://orcid.org/0000-0002-3617-8738
Mater Misericordiae University Hospital · IESemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLeft atrial (LA) fibrosis plays an important role in the pathogenesis and perpetuation of atrial fibrillation (AF). It may be identified by bipolar voltage (BiV) mapping, but quantification of fibrosis which previously relied on visual estimation of scar has been shown to be inaccurate. Our aim was to use a novel automated voltage histogram analysis (VHA) tool to quantify LA scar burden accurately in patients with AF.

methodsLA voltage was assessed in 100 consecutive patients undergoing first pulmonary vein isolation (PVI) for paroxysmal or persistent AF using a circular multielectrode catheter to create high-density LA BiV maps which were analysed using the VHA tool after the procedure.

resultsHigh-density electro-anatomic maps took 10 min to create and contained a median of 1049 points. The VHA algorithm accurately quantified the burden of Diseased LA Tissue (≤ 0.5 mV) and Dense LA Scar (≤ 0.2 mV) with a median of 17.8% and 3.5% respectively. A quartile classification was applied based on diseased LA tissue burden. Patients in class IV with the highest diseased LA burden were older (p < 0.0001), more likely female (p = 0.0095), had higher CHA

conclusionsThe VHA algorithm is able to quantify percentage surface area voltage rapidly and according to preset ranges for the first time. The algorithm offers the potential for classification of patients undergoing AF ablation into different classes of diseased LA burden, which may have diagnostic, therapeutic and prognostic implications.

Indexed as

Atrial FibrillationCatheter AblationPulmonary VeinsCicatrixFemaleHeart AtriaHumansAtrial fibrillationElectroanatomical mappingFibrosisPulmonary vein isolationScarVoltage mapping

Identifiers

PMID31165967
OpenAlexW2958634790

What OpenQuestion holds

Textmetadata
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.