Evidence map›Paper›PMID 39799285›Full record

ArticleBMC neurology2025

Factors associated with the detection of atrial fibrillation in patients with embolic stroke of undetermined source.

Jae-Han Bae, Jae-Chan Ryu, Sang Hee Ha, Min Soo Cho, Myung-Jin Cha, Jun Young Chang, Dong-Wha Kang, Sun U Kwon, Jong S Kim, Bum Joon Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

10 authors.

Jae-Han BaeDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, South Korea.
Jae-Chan RyuDepartment of Neurology, Gimcheon Jeil Hospital, Gimcheon, South Korea.
Sang Hee HaDepartment of Neurology, Gil Medical Center, Gachon University, Incheon, South Korea.
Min Soo ChoDepartment of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Myung-Jin ChaDepartment of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Jun Young ChangDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, South Korea.
Dong-Wha KangDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, South Korea.
Sun U KwonDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, South Korea.
Jong S KimDepartment of Neurology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, South Korea.
Bum Joon KimDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, South Korea. medicj80@hanmail.net.

Funding

Ministry of Science and ICT 2020R1A2C2100077Ministry of Science and ICT, South Korea 2020M3E5D2A0108457
6 · The paper itself

Abstract

backgroundDetection of atrial fibrillation (AF) in patients with embolic stroke of undetermined source (ESUS) is important for the secondary prevention of stroke. We investigated the factors associated with the detection of newly diagnosed AF in ESUS patients during follow-up.

methodsPatients with acute ischemic stroke classified as ESUS were included. All patients underwent transthoracic echocardiography and Holter to detect the source of embolism. Structural, electrophysiological markers of left atrial cardiopathy (i.e., left atrial enlargement [LAE], non-sustained tachycardia [NSAT]) as well as lesion patterns of ischemic stroke were examined. Implantable loop recorder (ILR) was implanted in selective patients. Sensitivity and positive predictive value analysis was used to assess the predictive value for AF detection.

resultsAmong 312 patients with ESUS, AF was detected in 24 (7.7%) patients during follow-up. Patients with AF had a higher prevalence of LAE, NSAT, and the imaging pattern of confluent plus additional lesions in a single vascular territory. Multivariable analysis showed that ILR implantation (hazards ratio 11.497 [95% confidence interval 3.795-34.818]), LAE (3.204 [1.096-9.370]), NSAT (4.070 [1.378-12.018]), and confluent plus additional lesions (4.977 [1.649-15.019]) were independent predictors of AF detection. The sensitivity of detecting AF in those with LAE, NSAT, or confluent plus additional lesions pattern was 91.7%. The positive predictive value of detecting AF in those with LAE, NSAT and confluent plus additional lesions pattern was 40.0%.

conclusionIn conclusion, patients with LAE, NSAT, or confluent plus additional lesions may benefit from ILR monitoring detecting new AF.

Indexed as

Atrial FibrillationEmbolic StrokeIschemic StrokeAgedAged, 80 and overEchocardiographyElectrocardiography, AmbulatoryFemaleFollow-Up StudiesHumansMaleMiddle AgedAtrial cardiopathyESUSImplantable loop recorderLeft atrial enlargement

Identifiers

PMID39799285
PMCPMC11724600

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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.