Evidence map›Paper›PMID 22934047›Full record

ArticleFrontiers in physiology2012

An introduction to murine models of atrial fibrillation.

Genna Riley, Fahima Syeda, Paulus Kirchhof, Larissa Fabritz

Abstract read
In one paragraph

Article in Frontiers in physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. A Mechanistic Clinical Trial Using (Circulation. Arrhythmia and electrophysiology · 2022
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Molecular Pathways and Animal Models of Arrhythmias.Advances in experimental medicine and biology · 2024
    Article
  7. Advances in basic and translational research in atrial fibrillation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  8. Article
  9. Article
  10. Effects of genetic background, sex, and age on murine atrial electrophysiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2021
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Ion Channel and Structural Remodeling in Obesity-Mediated Atrial Fibrillation.Circulation. Arrhythmia and electrophysiology · 2020
    Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors.

Genna RileyCentre for Cardiovascular Sciences, School of Clinical and Experimental Medicine, University of Birmingham Birmingham, UK.
Fahima Syeda
Paulus Kirchhof
Larissa Fabritz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanism of re-entrant arrhythmias in the past 30 years has allowed the development of almost curative therapies for many rhythm disturbances. The complex, polymorphic arrhythmias of atrial fibrillation (AF) and sudden death are, unfortunately, not yet well understood, and hence still in need of adequate therapy. AF contributes markedly to morbidity and mortality in aging Western populations. In the past decade, many genetically altered murine models have been described and characterized. Here, we review genetically altered murine models of AF; powerful tools that will enable a better understanding of the mechanisms of AF and the assessment of novel therapeutic interventions.

Indexed as

atrial fibrillationatrial tachycardiacardiac functionelectrocardiogramelectrophysiologymouse heartmurine modelsick sinus syndrome

Identifiers

PMID22934047
PMCPMC3429067

What OpenQuestion holds

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LicenceCC BY
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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.