Evidence map›Paper›PMID 36136132›Full record

ReviewHerzschrittmachertherapie & Elektrophysiologie2022

New concepts in atrial fibrillation pathophysiology.

Ben J M Hermans, Vanessa Weberndörfer, Geertruida P Bijvoet, Sevasti-Maria Chaldoupi, Dominik Linz

Open access · hybridAbstract readReview
In one paragraph

Review in Herzschrittmachertherapie & Elektrophysiologie, 2022. 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
0.8field-weighted citation impact, top 26% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. [Characterization of atrial fibrillation burden using wearables].Herzschrittmachertherapie & Elektrophysiologie · 2024
    Review
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 2 countries.

Ben J M HermansDepartment of Physiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht University Medical Center, Maastricht, The Netherlands.
Vanessa WeberndörferDepartment of Physiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht University Medical Center, Maastricht, The Netherlands.
Geertruida P BijvoetDepartment of Physiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht University Medical Center, Maastricht, The Netherlands.
Sevasti-Maria ChaldoupiDepartment of Cardiology, Maastricht University, Maastricht University Medical Center, 6202 AZ, Maastricht, The Netherlands.
Dominik LinzDepartment of Physiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht University Medical Center, Maastricht, The Netherlands. dominik.linz@mumc.nl.
University Medical Center · USMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current classification of atrial fibrillation (AF) is mainly focused on the clinical presentation according to the duration of AF episodes and the mode of termination, which incompletely reflect the severity and progressive nature of the underlying atrial disease. In this review article, "atrial cardiomyopathy" is discussed as a new concept in AF pathophysiology. Electrogram-, imaging-, and biomarker-derived measures and parameters to assess atrial cardiomyopathy, which will likely impact how AF is clinically classified and managed in the future, are presented.

Indexed as

Atrial FibrillationCatheter AblationHumansAtrial cardiomyopathyAtrial fibrillation pathophysiologyBiomarkersElectrogramImaging

Identifiers

PMID36136132
PMCPMC9691491
OpenAlexW4296614826

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.