Evidence map›Paper›PMID 29276556›Full record

ArticleThe Neurohospitalist2018

Atrial Fibrillation Predictors on Mobile Cardiac Telemetry in Cryptogenic Ischemic Stroke.

Omar Kass-Hout, Tareq Kass-Hout, Ankit Parikh, Michael Hoskins, Stephen D Clements, Srikant Rangaraju, Ali Reza Noorian, Lauren Ayala, Debra Blanke, Laura Bamford and 5 more

Open access · greenAbstract read
In one paragraph

Article in The Neurohospitalist, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Assessment of the ability of the CHABMC cardiovascular disorders · 2021
    Article
  5. Article
  6. Observational
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

15 authors at 1 institution in 1 country.

Omar Kass-HoutDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Tareq Kass-HoutDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Ankit ParikhDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Michael HoskinsDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Stephen D ClementsDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Srikant RangarajuDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Ali Reza NoorianDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Lauren AyalaDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Debra BlankeDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Laura BamfordDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Aaron AndersonDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Samir BelagajeDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Manuel YepesDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Michael FrankelDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Fadi NahabDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Emory University · US

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
NIH HHS P51 OD011132
6 · The paper itself

Abstract

background and purposeThe objective of our study was to evaluate magnetic resonance imaging (MRI) and echocardiographic characteristics that would identify patients with cryptogenic ischemic stroke (IS) and transient ischemic attack (TIA) who subsequently developed paroxysmal atrial fibrillation (PAF) on mobile cardiac outpatient telemetry (MCOT).

methodsAll patients with cryptogenic IS or TIA seen at the Emory University Hospital and Emory University Hospital Midtown from January 1, 2009, to June 30, 2013, who underwent MCOT were included in this analysis. Location (cortical, high subcortical, or neither) of current and prior strokes on MRI and left atrial (LA) functional and anatomical echocardiographic parameters were evaluated to determine their association with subsequent detection of PAF.

resultsOf 132 patients, 17 (13%) had evidence of newly diagnosed PAF on MCOT (mean duration of monitoring = 25 days). The presence (vs absence) of ≥1 cortical infarct on baseline MRI was a significant predictor of identifying PAF (odds ratio: 5.2, 95% confidence interval: 1.3-19;

conclusionAlthough the presence of cortical-based infarcts on MRI in patients with cryptogenic IS or TIA increases the likelihood of detecting PAF on MCOT, LA functional and anatomic parameters alone best predicted which patients subsequently had PAF.

Indexed as

atrial fibrillationatrial functionechocardiographymagnetic resonance imagingstroke

Identifiers

PMID29276556
PMCPMC5734506
OpenAlexW2624315977

What OpenQuestion holds

Textmetadata
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.