Evidence map›Paper›PMID 20602552›Full record

ArticleExpert review of cardiovascular therapy2010

Novel insights into the cellular basis of atrial fibrillation.

Vickas V Patel

Open access · greenAbstract read
In one paragraph

Article in Expert review of cardiovascular therapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Isolating primary melanocyte-like cells from the mouse heart.Journal of visualized experiments : JoVE · 2014
    Article
  4. Article
  5. 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

1 author at 1 institution in 1 country.

Vickas V PatelPenn Cardiovascular Institute and Division of Cardiovascular Medicine, 905 BRB II/III, 421 Curie Boulevard, University of Pennsylvania, Philadelphia, PA 19104-6160, USA. patelv@mail.med.upenn.edu
University of Pennsylvania · US

Funding

Arrhythmia Mechanisms of the Metabolic Sensor AMP KinaseK08HL074108 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PATEL, VICKAS V · 2004 to 2008
$666k
NHLBI NIH HHS K08 HL074108NHLBI NIH HHS K08-HL074108-05
6 · The paper itself

Abstract

Atrial fibrillation is the most common clinical cardiac arrhythmia. It is often initiated by ectopic beats arising from the pulmonary veins and atria. While pulmonary vein myocytes most likely contribute to atrial ectopic beats initiating atrial fibrillation, emerging evidence suggests the existence of other cell populations that may also contribute to atrial arrhythmias. In addition to sinus node-like and intestinal Cajal-like cells, we recently characterized a novel, melanocyte-like cell population in murine and human hearts that may contribute to atrial arrhythmogenic triggers in mice. Murine cardiac melanocyte-like cells are electrically excitable, and express adrenergic and muscarinic receptors. Adult mice lacking the gene encoding dopachrome tautomerase (Dct) are susceptible to atrial arrhythmias, and Dct is expressed by both murine and human cardiac melanocytes. While Dct-expressing cells are present in human hearts in regions from which atrial arrhythmias often arise, the contribution of these cells to clinical atrial arrhythmias remains to be determined.

Indexed as

AnimalsAtrial FibrillationAutonomic Nervous SystemElectrophysiological PhenomenaGene DeletionGenetic Predisposition to DiseaseHeart AtriaHumansIntramolecular OxidoreductasesMelanocytesMyocardiumMyocytes, CardiacPulmonary VeinsSinoatrial NodeThoraxVeinsdopachrome isomeraseIntramolecular Oxidoreductases

Identifiers

PMID20602552
PMCPMC2924633
OpenAlexW2103498646

What OpenQuestion holds

Textmetadata
LicenceTDM
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.