ArticleFrontiers in neurology2022
Early diagnosis of intracranial atherosclerotic large vascular occlusion: A prediction model based on DIRECT-MT data.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03469206 (Parallel Group, Randomized Clinical Trial of Direct Intra-arterial Thrombectomy Versus Intravenous Thrombolysis With Intra-arterial Thrombectomy for Patients With Large Vessel Occlusion of the Anterior Circulation), which is not on this map. Cited by 4 papers.
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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.
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.
Parallel Group, Randomized Clinical Trial of Direct Intra-arterial Thrombectomy Versus Intravenous Thrombolysis With Intra-arterial Thrombectomy for Patients With Large Vessel Occlusion of the Anterior Circulation
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Hypoperfusion Intensity Ratio as a Predictive Marker in Pre-Endovascular Treatment Perfusion Magnetic Resonance Image for Acute Middle Cerebral Artery Occlusion with Intracranial Atherosclerosis.Cerebrovascular diseases extra · 2026Article
- Multiphase CTA Collateral Score to Identify Intracranial Atherosclerotic Stenosis-Related Large Vessel Occlusion.The neurologist · 2025Article
- Balloon angioplasty as first-choice recanalization strategy for intracranial atherosclerosis-related emergent large vessel occlusion with small clot burden.Neuroradiology · 2024Article
- Magnetic resonance imaging and clinical prediction of intracranial atherosclerotic large vessel occlusion in acute ischemic stroke treated with endovascular thrombectomy.Frontiers in neurologyArticle
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: This study aimed to build a prediction model to early diagnose intracranial atherosclerosis (ICAS)-related large vascular occlusion (LVO) in acute ischemic stroke patients before digital subtractive angiography. Methods: Patients enrolled in the DIRECT-MT trial (NCT03469206) were included in our secondary analysis and distributed into ICAS-LVO and non-ICAS-LVO groups. We also retrieved demographic data, medical histories, clinical characteristics, and pre-operative imaging data. Hypothesis testing was used to compare data of the two groups, and univariate logistic regression was used to identify the predictors of ICAS-LVO primarily. Then, we used multivariate logistic regression to determine the independent predictors and formulate the prediction model. Model efficacy was estimated by the area under the receiver operating characteristic (ROC) curve (AUC) and diagnostic parameters generated from internal and external validations. Results: The subgroup analysis included 45 cases in the ICAS-LVO group and 611 cases in the non-ICAS-LVO group. Variates with Conclusion: Our current prediction model based on clinical data of patients from the DIRECT-MT trial might be a promising tool for predicting ICAS-LVO.
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