Evidence map›Paper›PMID 35691846›Full record

Observational studyJournal of atherosclerosis and thrombosis2023

Evaluating the Potential Pathology and Short-Term Outcomes of Cryptogenic Stroke Using the Etiological Classification System.

Takahiro Shimizu, Yuji Ueno, Yohei Tateishi, Ryosuke Doijiri, Ayako Kuriki, Muneaki Kikuno, Hidehiro Takekawa, Yoshiaki Shimada, Kodai Kanemaru, Yuki Kamiya and 8 more

Open access · diamondAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of atherosclerosis and thrombosis, 2023. 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
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

18 authors at 9 institutions in 1 country.

Takahiro ShimizuDepartment of Neurology, St. Marianna University School of Medicine.
Yuji UenoDepartment of Neurology, Juntendo University Faculty of Medicine.
Yohei TateishiDepartment of Neurology and Strokology, Nagasaki University Hospital.
Ryosuke DoijiriDepartment of Neurology, Iwate Prefectural Central Hospital.
Ayako KurikiDepartment of Neurology, Showa University Koto Toyosu Hospital.
Muneaki KikunoDepartment of Neurology, Tokyo Medical University.
Hidehiro TakekawaDepartment of Neurology, Dokkyo Medical University.
Yoshiaki ShimadaDepartment of Neurology, Juntendo University Urayasu Hospital.
Kodai KanemaruDepartment of Neurology, Tokyo Medical University.
Yuki KamiyaDepartment of Neurology, Showa University Koto Toyosu Hospital.
Eriko YamaguchiDepartment of Neurology, Iwate Prefectural Central Hospital.
Masatoshi KogaDepartment of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center.
Masafumi IharaDepartment of Neurology, National Cerebral and Cardiovascular Center.
Akira TsujinoDepartment of Neurology and Strokology, Nagasaki University Hospital.
Koichi HirataDepartment of Neurology, Dokkyo Medical University.
Yasuhiro HasegawaDepartment of Neurology, St. Marianna University School of Medicine.
Nobutaka HattoriDepartment of Neurology, Juntendo University Faculty of Medicine.
Takao UrabeDepartment of Neurology, Juntendo University Urayasu Hospital.
Dokkyo Medical University · JPIwate Prefectural Central Hospital · JPJuntendo University · JPJuntendo University Urayasu Hospital · JPNagasaki University Hospital · JPNational Cerebral and Cardiovascular Center · 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

aimVarious embolic sources and pathogenetic mechanisms underlie cryptogenic stroke (CS). We investigated the association of etiological diversity with short-term outcomes in patients with CS using a modified atherosclerosis (A), small-vessel disease (S), cardiac pathology (C), other causes (O), and dissection (D) (ASCOD) system.

methodsPatients with CS who underwent transesophageal echocardiography were registered in this multicenter, observational study. In the modified classification system, O and D were inapplicable and thus excluded. Instead, atherosclerosis, small-vessel disease, cardiac pathology-CS classification was specifically constructed for the etiological diagnosis of CS. We utilized this system to explore the mechanism of CS by grading each pathology and evaluated its association with poorer modified Rankin Scale scores of 3-6 at hospital discharge.

resultsA total of 672 patients (68.7±12.8 years, 220 females) were analyzed. In the multiple logistic regression model, female sex (odds ratio [OR], 1.87 [1.15-3.04]; P =0.012), body mass index (OR, 0.93 [0.88-0.99]; P =0.025), National Institute of Health Stroke Scale score (OR, 1.16 [1.12-1.21]; P＜0.001), CHADS

conclusionsThe coexistence of small-vessel disease and cardiac pathology might be associated with poor in-hospital functional outcome in CS.

Indexed as

AtherosclerosisIschemic StrokeStrokeCausalityFemaleHumansRisk FactorsCryptogenic strokeEmbolic stroke of undetermined sourceEtiologyTransesophageal echocardiography

Identifiers

PMID35691846
PMCPMC10067338
OpenAlexW4282934255

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.