Evidence map›Paper›PMID 38974684›Full record

ArticleFrontiers in neurology2024

CT perfusion for predicting intracranial atherosclerotic middle cerebral artery occlusion.

Zigao Wang, Abudoukeyoumu Yasheng, Yifeng Ling, Hongchen Zhao, Yiting Mao, Shilin Yang, Wenjie Cao

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2024. 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

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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

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

7 authors.

Zigao Wang *Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Abudoukeyoumu Yasheng *Department of Neurology, Kashi Prefecture Second People's Hospital, Kashi, China.
Yifeng LingDepartment of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Hongchen ZhaoDepartment of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Yiting MaoDepartment of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Shilin YangDepartment of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Wenjie CaoDepartment of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Backgrounds and purpose: Identifying the underlying cause of acute middle cerebral artery occlusion (MCAO) as intracranial atherosclerotic stenosis (ICAS) or embolism is essential for determining the optimal treatment strategy before endovascular thrombectomy. We aimed to evaluate whether baseline computed tomography perfusion (CTP) characteristics could differentiate ICAS-related MCAO from embolic MCAO. Methods: We conducted a retrospective analysis of the clinical and baseline CTP data from patients who underwent endovascular thrombectomy for acute MCAO between January 2018 and December 2022. Core volume growth rate was defined as core volume on CTP divided by onset to CTP time. Multivariate logistic analysis was utilized to identify independent predictors for ICAS-related acute MCAO, and the diagnostic performance of these predictors was evaluated using receiver operating characteristic curve analysis. Results: Among the 97 patients included (median age, 71 years; 60% male), 31 (32%) were diagnosed with ICAS-related MCAO, and 66 (68%) had embolism-related MCAO. The ICAS group was younger ( Conclusion: Slow core volume growth rate identified on baseline CTP can predict ICAS-related MCAO. Further prospective studies are warranted to confirm and validate these findings.

Indexed as

computed tomography perfusioncore volume growth rateembolismintracranial atherosclerotic stenosismiddle cerebral artery occlusion

Identifiers

PMID38974684
PMCPMC11224468

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