Evidence map›Paper›PMID 26523405›Full record

ReviewAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2016

Atrial Fibrillation Predictors: Importance of the Electrocardiogram.

David M German, Muammar M Kabir, Thomas A Dewland, Charles A Henrikson, Larisa G Tereshchenko

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.5field-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.

NCT03962166 active not recruitingnot on this mapstarted 2019, after this paper: background citation

Characterizing Patients With Post-operative Atrial Fibrillation in Relation to Cardiac Surgery by Signal Processed Surface Electrocardiogram (wavECG) and Transthoracic Echocardiography A LAACS-2 Sub-study

TypeobservationalSponsorHelena DOMINGUEZRan2019 to 2026Enrolled353ConditionsAtrial Fibrillation, Left Ventricular Diastolic Dysfunction
NCT06637748 nanot yet recruitingnot on this mapstarted 2024, after this paper: background citation

Echo and Electrocardiographic Findings in Children With Bronchial Asthma At Sohag University Hospital

TypeinterventionalSponsorSohag UniversityRan2024 to 2025Enrolled30ConditionsBronchial AsthmaArmsEchocardiography, Electrocardiography
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Electrocardiographic Predictors of Atrial Fibrillation.Medical sciences (Basel, Switzerland) · 2023
    Pooled it
  2. Predictive value of P wave terminal force in lead V1 for atrial fibrillation: A meta-analysis.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020
    Pooled it
  3. Article
  4. Article
  5. Review
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  7. [Prediction method of paroxysmal atrial fibrillation based on multimodal feature fusion].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  8. Article
  9. Atrial Cardiomyopathy: From Diagnosis to Treatment.Reviews in cardiovascular medicine · 2025
    Review
  10. Multifunctional Porous Soft Composites for Bimodal Wearable Cardiac Monitors.AIChE journal. American Institute of Chemical Engineers · 2024
    Article
  11. Atrial cardiomyopathy revisited-evolution of a concept: a clinical consensus statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), the Asian Pacific Heart Rhythm Society (APHRS), and the Latin American Heart Rhythm Society (LAHRS).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
    Article
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  13. Observational
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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

5 authors at 1 institution in 1 country.

David M GermanDepartment of Medicine, Oregon Health and Science University, Portland, OR.
Muammar M KabirDepartment of Medicine, The Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR.
Thomas A DewlandDepartment of Medicine, The Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR.
Charles A HenriksonDepartment of Medicine, The Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR.
Larisa G TereshchenkoDepartment of Medicine, The Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR.
Oregon Health & Science University · US

Funding

Novel ECG Measures and Risk of Sudden Cardiac DeathR01HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2013 to 2016
$1.5M
NHLBI NIH HHS 1R01HL118277NHLBI NIH HHS R01 HL118277
6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common arrhythmia in adults and is associated with significant morbidity and mortality. Substantial interest has developed in the primary prevention of AF, and thus the identification of individuals at risk for developing AF. The electrocardiogram (ECG) provides a wealth of information, which is of value in predicting incident AF. The PR interval and P wave indices (including P wave duration, P wave terminal force, P wave axis, and other measures of P wave morphology) are discussed with regard to their ability to predict and characterize AF risk in the general population. The predictive value of the QT interval, ECG criteria for left ventricular hypertrophy, and findings of atrial and ventricular ectopy are also discussed. Efforts are underway to develop models that predict AF incidence in the general population; however, at present, little information from the ECG is included in these models. The ECG provides a great deal of information on AF risk and has the potential to contribute substantially to AF risk estimation, but more research is needed.

Indexed as

ElectrocardiographyAtrial FibrillationHumansPredictive Value of TestsRisk Assessmentatrial fibrillationelectrocardiogramprimary preventionP wave indicesrisk stratification

Identifiers

PMID26523405
PMCPMC4728003
OpenAlexW1925204115

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.