Evidence map›Paper›PMID 36191057›Full record

ArticleAnnals of clinical and translational neurology2022

Epicardial adipose tissue thickness assessed by CT is a marker of atrial fibrillation in stroke patients.

Fabian Edsen, Pardes Habib, Oliver Matz, Omid Nikoubashman, Martin Wiesmann, Michael Frick, Nikolaus Marx, Jörg B Schulz, Arno Reich, João Pinho

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Synergistic Effect of the CHATherapeutics and clinical risk management · 2025
    Article
  7. Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Fabian EdsenDepartment of Neurology, University Hospital, RWTH Aachen University, Aachen, Germany.
Pardes HabibDepartment of Neurology, University Hospital, RWTH Aachen University, Aachen, Germany.
Oliver MatzDepartment of Neurology, University Hospital, RWTH Aachen University, Aachen, Germany.
Omid NikoubashmanDepartment of Diagnostic and Interventional Neuroradiology, University Hospital, RWTH Aachen University, Aachen, Germany.ORCID 0000-0002-2055-4217
Martin WiesmannDepartment of Diagnostic and Interventional Neuroradiology, University Hospital, RWTH Aachen University, Aachen, Germany.ORCID 0000-0002-8261-5513
Michael FrickDepartment of Cardiology, University Hospital, RWTH Aachen University, Aachen, Germany.
Nikolaus MarxDepartment of Cardiology, University Hospital, RWTH Aachen University, Aachen, Germany.
Jörg B SchulzDepartment of Neurology, University Hospital, RWTH Aachen University, Aachen, Germany.ORCID 0000-0002-8903-0593
Arno ReichDepartment of Neurology, University Hospital, RWTH Aachen University, Aachen, Germany.ORCID 0000-0002-9439-7963
João PinhoDepartment of Neurology, University Hospital, RWTH Aachen University, Aachen, Germany.ORCID 0000-0002-3977-7146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epicardial adipose tissue is involved in the pathophysiology of atrial fibrillation (AF). This study aimed to analyze its relevance as a stroke etiology marker. A retrospective study of acute ischemic stroke patients with large vessel occlusion was conducted, periatrial epicardial adipose tissue thickness (pEATT) on admission computed tomography angiography was measured. One hundred and twenty-one patients with AF-related stroke and 94 patients with noncardioembolic stroke were included. Patients with AF-related stroke had increased pEATT. CT-measured left-sided pEATT was an independent predictor of AF-related stroke (adjusted odds ratio per 1 mm increase = 1.27, 95% CI = 1.05-1.53, p = 0.012). pEATT is an independent marker of AF-related stroke.

Indexed as

Atrial FibrillationIschemic StrokeStrokeAdipose TissueHeart AtriaHumansRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID36191057
PMCPMC9539378

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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.