Evidence map›Paper›PMID 31694402›Full record

ReviewCirculation2019

Subclinical and Device-Detected Atrial Fibrillation: Pondering the Knowledge Gap: A Scientific Statement From the American Heart Association.

Peter A Noseworthy, Elizabeth S Kaufman, Lin Y Chen, Mina K Chung, Mitchell S V Elkind, José A Joglar, Miguel A Leal, Pamela J McCabe, Sean D Pokorney, Xiaoxi Yao and 1 more

Abstract readReview
In one paragraph

Review in Circulation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

86 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Pooled it
  6. Article
  7. Dynamic Risk Assessment for the Development of Persistent Atrial Fibrillation Using Statistical and Machine Learning Approaches.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
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26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Peter A Noseworthy
Elizabeth S Kaufman
Lin Y Chen
Mina K Chung
Mitchell S V Elkind
José A Joglar
Miguel A Leal
Pamela J McCabe
Sean D Pokorney
Xiaoxi Yao
American Heart Association Council on Clinical Cardiology Electrocardiography and Arrhythmias Committee; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular and Stroke Nursing; and Stroke Council

Funding

Functional Genomics of Atrial Fibrillation in Human AtriaR01HL111314 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI BARNARD, JOHN, CHUNG, MINA KAY · 2012 to 2019
$6.1M
NHLBI NIH HHS R01 HL111314
6 · The paper itself

Abstract

The widespread use of cardiac implantable electronic devices and wearable monitors has led to the detection of subclinical atrial fibrillation in a substantial proportion of patients. There is evidence that these asymptomatic arrhythmias are associated with increased risk of stroke. Thus, detection of subclinical atrial fibrillation may offer an opportunity to reduce stroke risk by initiating anticoagulation. However, it is unknown whether long-term anticoagulation is warranted and in what populations. This scientific statement explores the existing data on the prevalence, clinical significance, and management of subclinical atrial fibrillation and identifies current gaps in knowledge and areas of controversy and consensus.

Indexed as

American Heart AssociationHealth Knowledge, Attitudes, PracticeAtrial FibrillationDefibrillators, ImplantableHumansPacemaker, ArtificialRisk FactorsUnited StatesWearable Electronic DevicesAHA Scientific Statementsambulatory monitoringatrial fibrillationcardiac arrhythmiacardiac pacingcerebrovascular strokepacemaker

Identifiers

PMID31694402
PMCPMC8438789

What OpenQuestion holds

Textmetadata
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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.