Recognition of Stroke in the Emergency Room (ROSIER) Scale in Identifying Strokes and Transient Ischemic Attacks (TIAs); a Systematic Review and Meta-Analysis

Abstract

Introduction: A range of screening tools has been developed to assist emergency healthcare providers in rapidly and accurately diagnosing strokes. In this study, we investigated the diagnostic value of the Recognition of Stroke in the Emergency Room (ROSIER) scale in identifying individuals with stroke and transient ischemic attack (TIA). Methods: We conducted a systematic search across online databases of PubMed, Embase, Scopus, and Web of Science until June 12th, 2023, aiming to identify studies that assessed the diagnostic performance of the ROSIER scale in detecting strokes and TIAs among individuals with suspected stroke symptoms. Results: Data extracted from 34 studies were analyzed, demonstrating that the ROSIER score, with a cut-off value of ≥ 1, has sensitivity of 0.89 (95% confidence interval (CI): 0.86–0.92), specificity of 0.76 (95% CI: 0.69–0.81), diagnostic odds ratio (DOR) of 25.41 (95% CI: 17.2–37.54), and area under the curve (AUC) of 0.91 (95% CI: 0.85–0.90) in detection of strokes and TIAs. Meta-regression subgroup analysis revealed variations in sensitivity and specificity based on different settings and assessors. Sensitivity was higher in pre-hospital settings when the test was administered by emergency medical services (EMS) and emergency department (ED) paramedic staff, whereas specificity was higher in emergency department settings and when physicians and neurologists conducted the test. Conclusion: A moderate level of evidence shows that the ROSIER scale is considered an excellent tool for identifying strokes and TIAs. As a valid method for identifying strokes, it holds applicability across diverse settings and can be effectively used by assessors with different specialties.

Keywords

• Stroke
• Diagnosis
• Diagnostic techniques and procedures
• Systematic review
• Meta-analysis