Evidence map›Paper›PMID 34257744›Full record

Observational studyDisease markers2021

Classification of Left Atrial Diseased Tissue Burden Determined by Automated Voltage Analysis Predicts Outcomes after Ablation for Atrial Fibrillation.

Szilvia Herczeg, John J Keaney, Edward Keelan, Claire Howard, Katie Walsh, Laszlo Geller, Gabor Szeplaki, Joseph Galvin

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 3 institutions in 2 countries.

Szilvia HerczegHeart and Vascular Centre, Semmelweis University, 68 Varosmajor Street, Budapest, Hungary.ORCID https://orcid.org/0000-0002-0211-0399
John J KeaneyAtrial Fibrillation Institute, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
Edward KeelanAtrial Fibrillation Institute, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
Claire HowardAtrial Fibrillation Institute, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
Katie WalshAtrial Fibrillation Institute, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.
Laszlo GellerHeart and Vascular Centre, Semmelweis University, 68 Varosmajor Street, Budapest, Hungary.ORCID https://orcid.org/0000-0001-6802-6360
Gabor SzeplakiAtrial Fibrillation Institute, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.ORCID https://orcid.org/0000-0003-3795-1240
Joseph GalvinAtrial Fibrillation Institute, Mater Private Hospital, Eccles Street, Dublin 7, Ireland.ORCID https://orcid.org/0000-0002-3617-8738
Mater Misericordiae University Hospital · IESemmelweis University · HURoyal College of Surgeons in Ireland · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden and persistence of atrial fibrillation (AF) have been associated with the presence and extent of left atrial (LA) fibrosis. Recent reports have implicated an association between the extent of LA fibrosis and the outcome of pulmonary vein isolation (PVI). We aimed to analyse the value of an automated scar quantification method in the prediction of success following PVI.

methodsOne hundred and nine consecutive patients undergoing PVI for paroxysmal or persistent AF were included in our observational study with a 2-year follow-up. Prior to PVI, patients underwent high-definition LA electroanatomical mapping, and scar burden was quantified by automated software (Voltage Histogram Analysis, CARTO 3, Biosense Webster), then classified into 4 subgroups (Dublin Classes I-IV). Recurrence rates were analysed on and off antiarrhythmic drug therapy (AAD), respectively.

resultsThe overall success rate was 74% and 67% off AAD at 1- and 2-year follow-up, respectively. Patients with Dublin Class IV had significantly lower success rates (

conclusionsWe propose a classification of low voltage areas based on automated quantification by software during 3D mapping prior to PVI. Patients with high burden of low voltage areas (>31% of <0.5 mV, Dublin Class IV) have a higher risk of recurrence following PVI. Information gathered during electroanatomical mapping may have important prognostic value.

Indexed as

Catheter AblationClinical Decision RulesAdultAgedAged, 80 and overAtrial FibrillationComputed Tomography AngiographyEchocardiographyElectrocardiographyFemaleFibrosisFollow-Up StudiesHeart AtriaHumansKaplan-Meier EstimateMale

Identifiers

PMID34257744
PMCPMC8245248
OpenAlexW3175572276

What OpenQuestion holds

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LicenceCC BY
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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.