Evidence map›Paper›PMID 27383079›Full record

ReviewNature reviews. Cardiology2016

Stroke risk assessment in atrial fibrillation: risk factors and markers of atrial myopathy.

Brandon W Calenda, Valentin Fuster, Jonathan L Halperin, Christopher B Granger

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04038944 (Anticoagulant and Antiarrhythmic Management Based on Continuous Rhythm Monitoring and Cardiac Imaging in Patients at Low Risk for Cardiovascular Events Following Direct Current Cardioversion for New Onset Atrial Fibrillation), which is not on this map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
7.2field-weighted citation impact, top 2% 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.

NCT04038944 unknown statusnot on this mapstarted 2019, after this paper: background citation

Anticoagulant and Antiarrhythmic Management Based on Continuous Rhythm Monitoring and Cardiac Imaging in Patients at Low Risk for Cardiovascular Events Following Direct Current Cardioversion for New Onset Atrial Fibrillation

TypeobservationalSponsorSt. Francis Hospital, New YorkRan2019 to 2023Enrolled250ConditionsNew Onset Atrial Fibrillation
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 114 citations in OpenAlex.

  1. Review
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  7. Review
  8. Impact of Sorbs2 dysfunction on cardiovascular diseases.Biochimica et biophysica acta. Molecular basis of disease · 2025
    Review
  9. Article
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  15. Article
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  19. The relationship between atrial cardiopathy biomarkers and prognosis of patients with acute ischemic stroke after endovascular treatment.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Article
  20. Article
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

4 authors at 2 institutions in 1 country.

Brandon W CalendaIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, BOX 1030, New York, New York 10029, USA.
Valentin FusterIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, BOX 1030, New York, New York 10029, USA.
Jonathan L HalperinIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, BOX 1030, New York, New York 10029, USA.
Christopher B GrangerDuke University Medical Center, 2400 Pratt Street, Durham, North Carolina 27705, USA.
Icahn School of Medicine at Mount Sinai · USDuke University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is a complex phenomenon associated with electrical, mechanical, and structural abnormalities of the atria. Ischaemic stroke in AF is only partially understood, but the mechanisms are known to be related to the atrial substrate as well as the atrial rhythm. The temporal dissociation between timing of AF and occurrence of stroke has led to the hypothesis that fibrotic, prothrombotic atrial tissue is an important cause of thrombus formation in patients with AF, independent of the atrial rhythm. Current stroke risk scores are practical, but limited in their capacity to predict stroke risk accurately in individual patients. Stroke prediction might be improved by the addition of emerging risk factors, many of which are expressions of atrial fibrosis. The use of novel parameters, including clinical criteria, biomarkers, and imaging data, might improve stroke risk prediction and inform on optimal treatment for patients with AF and perhaps individuals only at risk of AF.

Indexed as

Heart AtriaAtrial FibrillationAtrial RemodelingBiomarkersBlood CoagulationClinical Decision-MakingDecision Support TechniquesFibrosisHumansPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsStrokeBiomarkers

Identifiers

PMID27383079
OpenAlexW2464070050

What OpenQuestion holds

Textmetadata
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.