Evidence map›Paper›PMID 34194824›Full record

ArticleCardiology research and practice2021

The Electrophysiology of Atrial Fibrillation: From Basic Mechanisms to Catheter Ablation.

Panagiotis Ioannidis, Theodoros Zografos, Evangelia Christoforatou, Konstantinos Kouvelas, Andreas Tsoumeleas, Charalambos Vassilopoulos

Abstract read
In one paragraph

Article in Cardiology research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
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  6. Review
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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

6 authors.

Panagiotis IoannidisHeart Rhythm Center, Athens Bioclinic, Athens, Greece.ORCID https://orcid.org/0000-0002-3529-7882
Theodoros ZografosHeart Rhythm Center, Athens Bioclinic, Athens, Greece.ORCID https://orcid.org/0000-0003-2871-0066
Evangelia ChristoforatouHeart Rhythm Center, Athens Bioclinic, Athens, Greece.
Konstantinos KouvelasHeart Rhythm Center, Athens Bioclinic, Athens, Greece.
Andreas TsoumeleasHeart Rhythm Center, Athens Bioclinic, Athens, Greece.
Charalambos VassilopoulosHeart Rhythm Center, Athens Bioclinic, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electrophysiology of atrial fibrillation (AF) has always been a deep mystery in understanding this complex arrhythmia. The pathophysiological mechanisms of AF are complex and often remain unclear despite extensive research. Therefore, the implementation of basic science knowledge to clinical practice is challenging. After more than 20 years, pulmonary vein isolation (PVI) remains the cornerstone ablation strategy for maintaining the sinus rhythm (SR). However, there is no doubt that, in many cases, especially in persistent and long-standing persistent AF, PVI is not enough, and eventually, the restoration of SR occurs after additional intervention in the rest of the atrial myocardium. Substrate mapping is a modern challenge as it can reveal focal sources or rotational activities that may be responsible for maintaining AF. Whether these areas are actually the cause of the AF maintenance is unknown. If this really happens, then the targeted ablation may be the solution; otherwise, more rough techniques such as atrial compartmentalization may prove to be more effective. In this article, we attempt a broad review of the known pathophysiological mechanisms of AF, and we present the recent efforts of advanced technology initially to reveal the electrical impulse during AF and then to intervene effectively with ablation.

Identifiers

PMID34194824
PMCPMC8203364

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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.