Evidence map›Paper›PMID 30808078›Full record

ArticleKorean circulation journal2019

A Genetic Risk Score for Atrial Fibrillation Predicts the Response to Catheter Ablation.

Won Seok Choe, Jun Hyuk Kang, Eue Keun Choi, Seung Yong Shin, Steven A Lubitz, Patrick T Ellinor, Seil Oh, Hong Euy Lim

Open access · hybridAbstract read
In one paragraph

Article in Korean circulation journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Association BetweenFrontiers in cardiovascular medicine · 2020
    Pooled it
  2. Trial
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  5. Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?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 · 2024
    Review
  6. Article
  7. Genome and atrial fibrillation.Journal of arrhythmia · 2023
    Review
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  9. Article
  10. Article
  11. 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

8 authors at 6 institutions in 2 countries.

Won Seok Choe *Division of Cardiology, Department of Internal Medicine, Sejong Hospital, Bucheon, Korea.ORCID https://orcid.org/0000-0001-9581-045X
Jun Hyuk Kang *Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.
Eue Keun ChoiDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea. choiek17@snu.ac.kr.ORCID https://orcid.org/0000-0002-0411-6372
Seung Yong ShinDivision of Cardiology, Heart Research Institute, College of Medicine, Chung-Ang University, Seoul, Korea.ORCID https://orcid.org/0000-0002-3408-6899
Steven A LubitzCardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0002-9599-4866
Patrick T EllinorCardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0002-2067-0533
Seil OhDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-2504-9615
Hong Euy LimDivision of Cardiology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea. hongeuy1046@gmail.com.ORCID https://orcid.org/0000-0001-8102-8352
Broad Institute · USSeoul National University Hospital · KRChung-Ang University · KRHallym University Sacred Heart Hospital · KRKorea University Medical Center · KRSejong General Hospital · KR

Funding

National Research Foundation of Korea 2014R1A1A2A16055218Seoul National University Hospital 2520140060
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe association of susceptibility loci for atrial fibrillation (AF) with AF recurrence after ablation has been reported, although with controversial results. In this prospective cohort analysis, we aimed to investigate whether a genetic risk score (GRS) can predict the rhythm outcomes after catheter ablation of AF.

methodsWe determined the association between 20 AF-susceptible single nucleotide polymorphisms (SNPs) and AF recurrence after catheter ablation in 746 patients (74% males; age, 59±11 years; 56% paroxysmal AF). A GRS was calculated by summing the unweighted numbers of risk alleles of selected SNPs. A Cox proportional hazard model was used to identify the association between the GRS and risk of AF recurrence after catheter ablation.

resultsAF recurrences after catheter ablation occurred in 168 (22.5%) subjects with a median follow-up of 23 months. The GRS was calculated using 5 SNPs (rs1448818, rs2200733, rs6843082, rs6838973 at chromosome 4q25 [

conclusionsOur novel GRS using 5 AF-susceptible SNPs was strongly associated with AF recurrence after catheter ablation in Korean population, beyond clinical risk factors. Further efforts are warranted to construct a generalizable, robust genetic prediction model which can guide the optimal treatment strategies.

Indexed as

Atrial fibrillationCatheter ablationGeneticsRecurrence

Identifiers

PMID30808078
PMCPMC6428949
OpenAlexW2905197509

What Socratic holds

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LicenceCC BY-NC
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.