Evidence map›Paper›PMID 34160828›Full record

ArticleClinical cardiology2021

Defibrillation threshold of internal cardioversion prior to ablation predicts atrial fibrillation recurrence.

Kohei Sawasaki, Yasuya Inden, Natsuko Hosoya, Masahiro Muto, Toyoaki Murohara

Open access · goldAbstract read
In one paragraph

Article in Clinical cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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

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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, 3 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Kohei SawasakiDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.ORCID https://orcid.org/0000-0003-4981-9765
Yasuya IndenDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Natsuko HosoyaDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Masahiro MutoDepartment of Cardiology, Hamamatsu Medical Center, Hamamatsu, Japan.
Toyoaki MuroharaDepartment of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hamamatsu Medical Center · JPNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany studies have reported the predictors of atrial fibrillation (AF) recurrence after persistent AF (peAF) ablation. However, the correlation between the atrial defibrillation threshold (DFT) for internal cardioversion (IC) and AF recurrence rate is unknown. Here we investigated the relationship between the DFT prior to catheter ablation for peAF and AF recurrence. HYPOTHESIS: DFT prior to ablation was the predictive factor for AF recurrence after peAF ablation.

methodsFrom June 2016 to May 2019, we enrolled 82 consecutive patients (mean age, 65.0 ± 12.4 years), including 45 with peAF and 37 with long-standing peAF, at Hamamatsu Medical Center. To assess the DFT, we performed IC with gradually increasing energy prior to radiofrequency application.

resultsForty-nine and 33 patients showed DFT values less than or equal to 10 J (group A) and greater than 10 J or unsuccessful defibrillation (group B). During the mean follow-up duration of 20.5 ± 13.1 months, patients in group B showed significantly higher AF recurrence rates than those in group A after the ablation procedure (p = .017). Multivariate analysis revealed that DFT was the only predictive factor for AF recurrence (odds ratio, 1.07; 95% CI, 1.00-1.13, p = .047).

conclusionsThe DFT for IC was among the strongest prognostic factors in the peAF ablation procedure.

Indexed as

Atrial FibrillationCatheter AblationAgedElectric CountershockFollow-Up StudiesHumansRecurrenceTime FactorsTreatment Outcomeatrial defibrillation thresholdcatheter ablationpersistent atrial fibrillation

Identifiers

PMID34160828
PMCPMC8364735
OpenAlexW3174913130

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Registered trials

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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.