Evidence map›Paper›PMID 38316891›Full record

ArticleScientific reports2024

Clinico-radiological features of intracranial atherosclerosis-related large vessel occlusion prior to endovascular treatment.

Marc Rodrigo-Gisbert, Alvaro García-Tornel, Manuel Requena, Isabel Vielba-Gómez, Saima Bashir, Marta Rubiera, Marta De Dios Lascuevas, Marta Olivé-Gadea, Carlos Piñana, Federica Rizzo and 10 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

20 authors.

Marc Rodrigo-GisbertStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Alvaro García-TornelStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Manuel RequenaStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Isabel Vielba-GómezStroke Unit, Department of Neurology, Hospital Universitari Dr. Josep Trueta, Girona, Spain.
Saima BashirStroke Unit, Department of Neurology, Hospital Universitari Dr. Josep Trueta, Girona, Spain.
Marta RubieraStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Marta De Dios LascuevasDepartment of Neuroradiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Marta Olivé-GadeaStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Carlos PiñanaDepartment of Neuroradiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Federica RizzoStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Marian MuchadaStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Noelia Rodriguez-VillatoroStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
David Rodríguez-LunaStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Jesus JuegaStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Jorge PagolaStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
David HernándezDepartment of Neuroradiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Carlos A MolinaStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Mikel TerceñoStroke Unit, Department of Neurology, Hospital Universitari Dr. Josep Trueta, Girona, Spain.
Alejandro TomaselloDepartament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain.
Marc RiboStroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Passeig de La Vall d'Hebron 119-129, 08035, Barcelona, Spain. marcriboj@hotmail.com.ORCID 0000-0001-6944-6383

Funding

Fundació Institut de Recerca Hospital Universitari Vall d'Hebron Carles Margarit, 2023 edition
6 · The paper itself

Abstract

The identification of large vessel occlusion with underlying intracranial atherosclerotic disease (ICAS-LVO) before endovascular treatment (EVT) continues to be a challenge. We aimed to analyze baseline clinical-radiological features associated with ICAS-LVO that could lead to a prompt identification. We performed a retrospective cross-sectional study of consecutive patients with stroke treated with EVT from January 2020 to April 2022. We included anterior LVO involving intracranial internal carotid artery and middle cerebral artery. We analyzed baseline clinical and radiological variables associated with ICAS-LVO and evaluated the diagnostic value of a multivariate logistic regression model to identify ICAS-LVO before EVT. ICAS-LVO was defined as presence of angiographic residual stenosis or a trend to re-occlusion during EVT procedure. A total of 338 patients were included in the study. Of them, 28 patients (8.3%) presented with ICAS-LVO. After adjusting for confounders, absence of atrial fibrillation (OR 9.33, 95% CI 1.11-78.42; p = 0.040), lower hypoperfusion intensity ratio (HIR [Tmax > 10 s/Tmax > 6 s ratio], (OR 0.69, 95% CI 0.50-0.95; p = 0.025), symptomatic intracranial artery calcification (IAC, OR .15, 95% CI 1.64-26.42, p = 0.006), a more proximal occlusion (ICA, MCA-M1: OR 4.00, 95% CI 1.23-13.03; p = 0.021), and smoking (OR 2.91, 95% CI 1.08-7.90; p = 0.035) were associated with ICAS-LVO. The clinico-radiological model showed an overall well capability to identify ICAS-LVO (AUC = 0.88, 95% CI 0.83-0.94; p < 0.001). In conclusion, a combination of clinical and radiological features available before EVT can help to identify an ICAS-LVO. This approach could be useful to perform a rapid assessment of underlying etiology and suggest specific pathophysiology-based measures. Prospective studies are needed to validate these findings in other populations.

Indexed as

Endovascular ProceduresIntracranial ArteriosclerosisStrokeCarotid Artery, InternalCross-Sectional StudiesHumansRetrospective Studies

Identifiers

PMID38316891
PMCPMC10844212

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