Evidence map›Paper›PMID 29848496›Full record

ArticleJournal of the American Heart Association2018

Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block.

Morten W Skov, Jonas Ghouse, Jørgen T Kühl, Pyotr G Platonov, Claus Graff, Andreas Fuchs, Peter V Rasmussen, Adrian Pietersen, Børge G Nordestgaard, Christian Torp-Pedersen and 9 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05084495 (Can Global Peak Longitudinal Strain Measurements in Combination With Non-invasive ECG Parameters Predict the Success or Failure of Flecainide Treatment for Atrial Fibrillation Patients?), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% 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.

NCT05084495 completednot on this mapstarted 2022, after this paper: background citation

Can Global Peak Longitudinal Strain Measurements in Combination With Non-invasive ECG Parameters Predict the Success or Failure of Flecainide Treatment for Atrial Fibrillation Patients?

TypeobservationalSponsorLund UniversityRan2022 to 2025Enrolled50ConditionsAtrial FibrillationArmsGlobal peak atrial longitudinal strain and ECG
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Electrocardiographic Predictors of Atrial Fibrillation.Medical sciences (Basel, Switzerland) · 2023
    Pooled it
  3. Article
  4. Observational
  5. The Effect of Iron Deficiency Anemia on the Morphology-Voltage-P Wave Duration (MVP) Risk Score.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
    Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Electrocardiographic markers of subclinical atrial fibrillation detected by implantable loop recorder: insights from the LOOP Study.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 · 2023
    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

19 authors at 7 institutions in 3 countries.

Morten W SkovLaboratory for Molecular Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Jonas GhouseLaboratory for Molecular Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Jørgen T KühlDepartment of Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Pyotr G PlatonovCenter for Integrative Electrocardiography at Lund University and Arrhythmia Clinic, Skåne University Hospital, Lund, Sweden.
Claus GraffDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Andreas FuchsDepartment of Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Peter V RasmussenLaboratory for Molecular Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Adrian PietersenCopenhagen General Practitioners' Laboratory, Copenhagen, Denmark.
Børge G NordestgaardDepartment of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital University of Copenhagen, Denmark.
Christian Torp-PedersenDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Steen M HansenDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Morten S OlesenLaboratory for Molecular Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Stig HaunsøLaboratory for Molecular Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Lars KøberDepartment of Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Thomas A GerdsDepartment of Biostatistics, University of Copenhagen, Denmark.
Klaus F KofoedDepartment of Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Jesper H SvendsenLaboratory for Molecular Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Anders G HolstLaboratory for Molecular Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark.
Jonas B NielsenLaboratory for Molecular Cardiology, The Heart Center, Rigshospitalet University of Copenhagen, Denmark jonas.bille.nielsen@gmail.com.
University of Copenhagen · DKRigshospitalet · DKAalborg University · DKAalborg University Hospital · DKDanish College of General Practitioners · DKSkåne University Hospital · SEUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe electrocardiographic interatrial block (IAB) has been associated with atrial fibrillation (AF). We aimed to test whether IAB can improve risk prediction of AF for the individual person. METHODS AND

resultsDigital ECGs of 152 759 primary care patients aged 50 to 90 years were collected from 2001 to 2011. We identified individuals with P-wave ≥120 ms and the presence of none, 1, 2, or 3 biphasic P-waves in inferior leads. Data on comorbidity, medication, and outcomes were obtained from nationwide registries. We observed a dose-response relationship between the number of biphasic P-waves in inferior leads and the hazard of AF during follow-up. Discrimination of the 10-year outcome of AF, measured by time-dependent area under the curve, was increased by 1.09% (95% confidence interval 0.43-1.74%) for individuals with cardiovascular disease at baseline (CVD) and 1.01% (95% confidence interval 0.40-1.62%) for individuals without CVD, when IAB was added to a conventional risk model for AF. The highest effect of IAB on the absolute risk of AF was observed in individuals aged 60 to 70 years with CVD. In this subgroup, the 10-year risk of AF was 50% in those with advanced IAB compared with 10% in those with a normal P-wave. In general, individuals with advanced IAB and no CVD had a higher risk of AF than patients with CVD and no IAB.

conclusionsIAB improves risk prediction of AF when added to a conventional risk model. Clinicians may consider monitoring patients with IAB more closely for the occurrence of AF, especially for high-risk subgroups.

Indexed as

ElectrocardiographyHeart RateAction PotentialsAgedAged, 80 and overAtrial FibrillationBrain IschemiaFemaleHeart Conduction SystemHumansInteratrial BlockMaleMiddle AgedPredictive Value of TestsPrognosisReproducibility of Resultsatrial fibrillationECGepidemiologyinteratrialinteratrial blockischemic strokerisk prediction

Identifiers

PMID29848496
PMCPMC6015370
OpenAlexW2805185631

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.