ArticleJournal of the American Heart Association2021
Novel Prehospital Triage Scale for Detecting Large Vessel Occlusion and Its Cause.
Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03317639 (Improving In-hospital Stroke Service Utilisation), which is not on this map. Cited by 3 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.
Improving In-hospital Stroke Service Utilisation (MISSION) in China: A Cluster Randomised Trial of Interventions to Shorten Door to Needle Times
Who cites it
3 citing papers in PubMed.
- Updates in Intravenous Thrombolysis Treatment for Acute Ischemic Stroke in Asian Populations.Aging and disease · 2025Review
- Development and validation of a screening tool for sarcopenia in Chinese nursing home residents.iScience · 2024Article
- Optimization of Large Vessel Occlusion Detection in Acute Ischemic Stroke Using Machine Learning Methods.Life (Basel, Switzerland) · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Patients with large vessel occlusion stroke (LVOS) need to be rapidly identified and transferred to comprehensive stroke centers. However, current prehospital evaluation and strategies still remain challenging. Methods and Results We retrospectively reviewed our prospectively collected database of patients with acute ischemic stroke (AIS). Based on the items of National Institutes of Health Stroke Scale and medical history that had a strong association with LVOS, we designed the 4-item Stroke Scale (4I-SS) and validated it in multi-centers. The 4I-SS incorporated gaze, level of consciousness, arm weakness, and atrial fibrillation. Receiver operating characteristic analysis was used to compare the 4I-SS with previously established prehospital prediction scales. Finally, 1630 and 11 440 patients were included in the derivation and validation cohort, respectively. In the validation cohort, Youden Index, area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the 4I-SS≥4 to predict LVOS were 0.494, 0.800, 0.657, 0.837, 0.600, 0.868, and 0.788, respectively, and that of the 4I-SS≥7 to predict basilar artery occlusion were 0.200, 0.669, 0.229, 0.971, 0.066, 0.974, and 0.899, respectively. Youden Index and area under the curve were higher than previously published scales for predicting LVOS. Further analysis showed that for predicting whether cardiogenic embolism was the cause, its accuracy was 0.922 when the 4I-SS score, including atrial fibrillation, was ≥6, and its accuracy of predicting the occluded vessel was intracranial internal carotid artery or M1 segment of the middle cerebral artery when it was ≥7 was 0.590. Conclusions The 4I-SS is an effective and simple tool that can identify LVOS and its cause. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT03317639.
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