Evidence map›Paper›PMID 34559949›Full record

ArticleCNS neuroscience & therapeutics2022

Identification of embolic stroke in patients with large vessel occlusion: The Chinese embolic stroke score, CHESS.

Lan Hong, Longting Lin, Gang Li, Jianhong Yang, Yu Geng, Min Lou, Mark Parsons, Xin Cheng, Qiang Dong

Open access · goldAbstract read
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Article in CNS neuroscience & therapeutics, 2022. 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
0.6field-weighted citation impact, top 31% 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, 7 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

9 authors at 6 institutions in 2 countries.

Lan HongDepartment of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China.ORCID 0000-0002-4002-4627
Longting LinSouth Western Sydney Clinical School, University of New South Wales, Liverpool, Australia.
Gang LiDepartment of Neurology, Shanghai East Hospital, Tongji University, Shanghai, China.
Jianhong YangDepartment of Neurology, Ningbo First Hospital, Ningbo, China.
Yu GengDepartment of Neurology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.
Min LouDepartment of Neurology, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Mark ParsonsSouth Western Sydney Clinical School, University of New South Wales, Liverpool, Australia.
Xin ChengDepartment of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China.ORCID 0000-0001-7816-0547
Qiang DongDepartment of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China.
Fudan University · CNUNSW Sydney · AUNingbo First Hospital · CNSecond Affiliated Hospital of Zhejiang University · CNShanghai East Hospital · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of the study was to develop a simple and objective score using clinical variables and quantified perfusion measures to identify embolic stroke with large vessel occlusions.

methodsEligible patients from five centers participating in the International Stroke Perfusion Imaging Registry were included in this study. Patients were split into a derivation cohort (n = 213) and a validation cohort (n = 116). A score was developed according to the coefficients of independent predictors of embolic stroke from stepwise logistic regression model in the derivation cohort. The performance of the score was validated by assessing its discrimination and calibration.

resultsThe independent predictors of embolic stroke made up the Chinese Embolic Stroke Score (CHESS). There were: history of atrial fibrillation (3 points), non-hypertension history (2 points), and delay time>6 s volume/delay time>3 s volume on perfusion imaging ≥0.23 (2 points). The AUC of CHESS in the derivation cohort and validation cohort were 0.87 and 0.79, respectively. Patients with a CHESS of 0 could be identified as low-risk of embolic stroke, with a CHESS of 2-4 could be identified as medium-risk and with a CHESS of 5-7 could be regarded as high-risk. The observed rate of embolic stroke of each risk group was well-calibrated with the predicted rate.

conclusionCHESS could reliably and independently identify embolic stroke as the cause of large vessel occlusion.

Indexed as

Embolic StrokeStrokeChinaHumansRegistriesRisk FactorsThrombectomyangioplastyembolic strokeperfusion imagingthrombectomy

Identifiers

PMID34559949
PMCPMC8928917
OpenAlexW3201413577

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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.