Evidence map›Paper›PMID 30448967›Full record

SynthesisJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2019

Genotype-phenotype associations in atrial fibrillation: meta-analysis.

Zhen Hu, Deling Zou

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2019. 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
0.5field-weighted citation impact, top 30% 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, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

2 authors at 2 institutions in 1 country.

Zhen HuDepartment of Cardiology, ShengJing Hospital of China Medical University, Shenyang, China.
Deling ZouDepartment of Cardiology, ShengJing Hospital of China Medical University, Shenyang, China. zoudl@sj-hospital.org.
China Medical University · CNSheng Jing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGenome-wide association studies have identified several single-nucleotide polymorphisms (SNPs) associated with atrial fibrillation (AF). The relationship between SNPs and the incidence of stroke, heart failure, and the recurrence rate of AF after cardioversion has been reported. This meta-analysis focuses on the genotype-phenotype associations in AF.

methodsWe searched PubMed/Medline and Embase for literature providing the phenotypic parameters and genotypes of RS10033464, RS13376333, RS2106261, RS2200733, and RS7193343. We selected literature published in English and reviewed the full text of included studies to perform a meta-analysis.

resultsFifteen papers, and 7034 patients with AF, were included. The mean risk gene frequency of the investigated variants was between 12 and 43%. The mean age of patients was between 50 and 70 and 70-80% of them were male. The stroke and heart failure frequencies in AF patients with RS2200733 were 10 and 7%, respectively. There was no significant difference in left ventricular ejection fraction and left ventricular end-diastolic diameter for all risk genotypes. For the AF recurrence after cardioversion treatment with direct current electric conversion, catheter ablation therapy, and anti-arrhythmic drugs. The early AF recurrence rate was 46% in RS10033464 and RS13376333 patients, and the late AF recurrence rate was 53% in RS2200733 patients.

conclusionsPooled analysis showed a significantly high prevalence of stroke (10%) in RS2200733 AF patients. AF patients with the studied SNPs had preserved left ventricular systolic function (i.e., ejection fraction greater than 50%). AF patients with RS10033464 presented larger left atrium diameter (44 mm (95% CI 42.02-45.98)) than those with other SNPs. The late AF recurrence rate was highest in RS2200733 patients (53% (95% CI 0.43-0.64)). This study aids our understanding of the existing genetic findings and the function-altering "strongest" SNPs.

Indexed as

Genetic Association StudiesAtrial FibrillationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideAtrial fibrillationGenotype-phenotype associationMeta-analysisSNPs

Identifiers

PMID30448967
OpenAlexW2900487307

What Socratic holds

Textmetadata
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 Socratic graph.