Evidence map›Paper›PMID 39724231›Full record

ReviewActa neurologica Belgica2025

The potential role of cardiac CT in ischemic stroke: bridging cardiovascular and cerebrovascular health.

Jianwei Wang, Tingxia Zhang, Huan Zhou, Shenqiang Yan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Acta neurologica Belgica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

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

4 authors.

Jianwei WangDepartment of Neurology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Tingxia ZhangDepartment of Neurology, School of Medicine, The 2nd Affiliated Hospital of Zhejiang University, #88 Jiefang Road, Hangzhou, China.
Huan ZhouDepartment of Neurology, School of Medicine, The 2nd Affiliated Hospital of Zhejiang University, #88 Jiefang Road, Hangzhou, China.
Shenqiang YanDepartment of Neurology, School of Medicine, The 2nd Affiliated Hospital of Zhejiang University, #88 Jiefang Road, Hangzhou, China. shenqiangyan@zju.edu.cn.ORCID http://orcid.org/0000-0001-6425-0672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic stroke, accounting for approximately 80% of all stroke cases, remains a leading cause of death and disability worldwide. Effective management of ischemic stroke is heavily influenced by its etiology, which can range from large-artery atherosclerosis and cardiac embolism to cerebral small-vessel occlusions and cryptogenic strokes. Cardioembolic stroke, which makes up about 30% of ischemic strokes, often leads to more severe symptoms and worse outcomes, necessitating anticoagulation therapy for prevention. Cryptogenic strokes, comprising over 25% of ischemic strokes, pose significant challenges for treatment and prevention due to their elusive nature. Thorough investigation of cardioembolic sources during the acute phase of stroke is crucial. While transthoracic and transesophageal echocardiography are traditional methods for detecting intracardiac thrombi and patent foramen ovale (PFO), cardiac CT has emerged as a non-invasive, efficient alternative. Cardiac CT can effectively visualize intracardiac thrombi, PFO, valvular abnormalities, tumors, and complex aortic plaques. This review discusses the potential applications of cardiac CT in ischemic stroke, emphasizing its role in identifying stroke etiology, predicting stroke risk, and assessing patient prognosis. The integration of advanced imaging technologies and artificial intelligence further enhances its diagnostic accuracy and clinical utility, promising to improve outcomes and reduce the healthcare burden associated with ischemic stroke.

Indexed as

Ischemic StrokeTomography, X-Ray ComputedHumansCardiac CTCardioembolic sourcesEtiologyIschemic strokeRisk prediction

Identifiers

PMID39724231

What OpenQuestion holds

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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.