Evidence map›Paper›PMID 33782508›Full record

ArticleScientific reports2021

Different aspects of early and late development of atrial fibrillation during hospitalization in cryptogenic stroke.

Ryosuke Doijiri, Yuji Ueno, Muneaki Kikuno, Takahiro Shimizu, Yohei Tateishi, Ayako Kuriki, Hidehiro Takekawa, Yoshiaki Shimada, Kodai Kanemaru, Yuki Kamiya and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

19 authors at 9 institutions in 1 country.

Ryosuke DoijiriDepartment of Neurology, Iwate Prefectural Central Hospital, Iwate, Japan.
Yuji UenoDepartment of Neurology, Juntendo University School of Medicine, Tokyo, Japan. yuji-u@juntendo.ac.jp.
Muneaki KikunoDepartment of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan.
Takahiro ShimizuDepartment of Neurology, St. Marianna University School of Medicine, Kanagawa, Japan.
Yohei TateishiDepartment of Neurology and Strokology, Nagasaki University Hospital, Nagasaki, Japan.
Ayako KurikiDepartment of Neurology, Showa University Koto Toyosu Hospital, Tokyo, Japan.
Hidehiro TakekawaDepartment of Neurology, Dokkyo Medical University, Tochigi, Japan.
Yoshiaki ShimadaDepartment of Neurology, Juntendo University Urayasu Hospital, Chiba, Japan.
Kodai KanemaruDepartment of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan.
Yuki KamiyaDepartment of Neurology, Showa University Koto Toyosu Hospital, Tokyo, Japan.
Eriko YamaguchiDepartment of Neurology, Iwate Prefectural Central Hospital, Iwate, Japan.
Masatoshi KogaDepartment of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan.
Masafumi IharaDepartment of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan.
Akira TsujinoDepartment of Neurology and Strokology, Nagasaki University Hospital, Nagasaki, Japan.
Koichi HirataDepartment of Neurology, Dokkyo Medical University, Tochigi, Japan.
Yasuhiro HasegawaDepartment of Neurology, St. Marianna University School of Medicine, Kanagawa, Japan.
Takahiko KikuchiDepartment of Neurology, Iwate Prefectural Central Hospital, Iwate, Japan.
Nobutaka HattoriDepartment of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
Takao UrabeDepartment of Neurology, Juntendo University Urayasu Hospital, Chiba, Japan.
Iwate Prefectural Central Hospital · JPNational Cerebral and Cardiovascular Center · JPDokkyo Medical University · JPJuntendo University · JPJuntendo University Urayasu Hospital · JPNagasaki University Hospital · JPShowa University Koto Toyosu HospitalSt. Marianna University School of Medicine · JPTokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of underlying atrial fibrillation (AF) has become increasingly possible by insertable cardiac monitoring (ICM). During hospitalization for cryptogenic stroke, factors related to the early and late development of AF have not been studied. CHALLENGE ESUS/CS is a multicenter registry of cryptogenic stroke patients undergoing transesophageal echocardiography. Twelve-lead electrocardiogram, continuous cardiac monitoring, and 24-h Holter electrocardiogram were all used for the detection of AF. Early and late detection of AF was determined with an allocation ratio of 1:1 among patients with AF. A total of 677 patients (68.7 ± 12.8 years; 455 men) were enrolled, and 64 patients developed AF during hospitalization. Four days after admission was identified as the approximate median day to classify early and late phases to detect AF: ≤ 4 days, 37 patients; > 4 days, 27 patients. Multiple logistic regression analysis showed that spontaneous echo contrast (SEC) (OR 5.91; 95% CI 2.19-15.97; p < 0.001) was associated with AF ≤ 4 days, whereas a large infarction > 3 cm in diameter (OR 3.28; 95% CI 1.35-7.97; p = 0.009) was associated with AF > 4 days. SEC and large infarctions were important predictors of in-hospital AF detection, particularly in the early and late stages, respectively; thus, they could serve as indications for recommending ICM.

Indexed as

Atrial FibrillationHospitalizationAgedAged, 80 and overFemaleHumansMaleRisk FactorsStroke

Identifiers

PMID33782508
PMCPMC8007744
OpenAlexW3144830890

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.