Evidence map›Paper›PMID 41969689›Full record

ArticleFrontiers in cardiovascular medicine2026

Optimizing cardiac monitoring strategies: patient characteristics associated with different methods of atrial fibrillation detection after stroke.

Kwanju Song, Sujin Koo, Hyun Sun Oh, Jeong Yoon Song, Wookjin Yang, Dong-Wha Kang, Sun U Kwon, Bum Joon Kim

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Kwanju SongDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sujin KooDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Hyun Sun OhDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jeong Yoon SongDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Wookjin YangDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Dong-Wha KangDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sun U KwonDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Bum Joon KimDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A variety of cardiac monitoring strategies are currently available, including patch-type monitoring devices and implantable loop recorders (ILR). Identifying patient characteristics associated with atrial fibrillation (AF) detection through different monitoring methods may help inform cardiac monitoring strategies in embolic stroke of undetermined source (ESUS). Methods: Patients with ESUS who were subsequently diagnosed with AF through continuous stroke-unit electrocardiography monitoring (CEM), Holter monitoring, or ILR were included in the study. Patients were categorized into two groups: short-term monitoring (CEM and Holter monitoring) and long-term monitoring (ILR). Factors associated with the detection of AF through short-term monitoring were investigated. Results: Among 182 patients with ESUS who were newly diagnosed with AF, AF was detected through CEM ( Discussion: Patients with ESUS who have large LAD or elevated WBC counts were more likely to have AF detected during short-term monitoring compared to ILR. Patch-type monitoring devices may be an alternative for these patients prior to the use of ILR.

Indexed as

atrial fibrillationcardiac monitoringelectrocardiographyembolic strokeembolic stroke of undermined source (ESUS)

Identifiers

PMID41969689
PMCPMC13061690

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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.