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European Stroke Journal|November 30, 2024
Acute treatment and secondary prevention for patients with minor stroke or transient ischemic attack: A Bayesian network meta-analysisSitong Guo, Shiran Qin, Dandan Xu, et al.European Stroke Journal|December 8, 2022
Near-infrared spectroscopy monitoring during endovascular treatment for acute ischaemic strokeSabine L Collette, Allart M Venema, Nick Eleveld, et al.European Stroke Journal|January 28, 2020
Women in the European Stroke Organisation: One, two, many… - A Top Down and Bottom Up approachElse Charlotte Sandset, Diana Aguiar de Sousa, Hanne Christensen, et al.European Stroke Journal|May 11, 2026
Sex-based differences in emergency department treatment times for acute ischaemic stroke: evidence from a large Italian cohortIrene Scala, Marcello Covino, Pier Andrea Rizzo, et al.European Stroke Journal|May 14, 2026
Lumbar drainage in intracerebral haemorrhage with intraventricular haemorrhage (DRAIN IVH): protocol for a multi-centre, randomised-controlled, two-arm, assessor-blinded trialMin Chen, Lukas D Sauer, Christian Herweh, et al.European Stroke Journal|May 27, 2026
Characterisation of patients with intracerebral haemorrhage with mixed location haemorrhages: clinical and imaging features, CSF neurodegeneration markers and recurrence riskJoão Pinho, Ana Sofia Costa, Iason Bartzokis, et al.European Stroke Journal|May 27, 2026
Cross-national differences in stroke management in the Baltic states: analysis within the Stroke Action Plan for Europe frameworkRytis Masiliūnas, Edgaras Zaboras, Vitalija Šumskienė, et al.European Stroke Journal|June 4, 2026
Oedema reduction mediates thrombectomy benefit in large core stroke: secondary analysis of the TENSION trialGabriel Broocks, Martin Bendszus, Claus Z Simonsen, et al.European Stroke Journal|June 16, 2026
The limited diagnostic and prognostic utility of brief cognitive screening tools in acute strokeRachael Gartly, Emma Elliott, Martin Taylor-Rowan, et al.European Stroke Journal|July 22, 2023
What would other emergency stroke teams do? Using explainable machine learning to understand variation in thrombolysis practiceKerry Pearn, Michael Allen, Anna Laws, et al.Pageof 94