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. 2016 Sep 8;16(1):168. doi: 10.1186/s12883-016-0695-z

Table 6.

Diagnostic performance of ROSIER, FAST, LAPSS and GZSS

Scale Optimal cut-off Sensitivity (95 % CI) P Specificity (95 % CI) P PLR (95 % CI) NLR (95 % CI) PPV (95 % CI) NPV (95 % CI) Diagnostic accuracy (%)
ROSIER 0 77.7 (73.0–81.9) 0.031 70.7 (57.3–81.9) 0.754 2.65 (1.8–4.0) 0.32 (0.2–0.4) 94.2 (90.9–96.6) 33.9 (25.5–43.1) 76.68
FAST 0 76.0 (71.2–80.3) 0.004 63.8 (50.1–76.0) 0.210 2.1 (1.5–3.0) 0.38 (0.3–0.5) 92.8 (89.2–95.5) 30.1 (22.1–39.0) 74.28
LAPSS 0 56.4 (51.1–61.6) <0.001 87.9 (76.7–95.0) 0.008 4.68 (2.3–9.4) 0.50 (0.4–0.6) 96.7 (93.2–98.6) 24.6 (18.9–31.1) 60.82
GZSS 1.5 83.2 (79.0–87.0) Reference 74.1 (61.0–84.7) Reference 3.22 (2.1–5.0) 0.23 (0.2–0.3) 95.2 (92.2–97.3) 41.7 (32.1–51.9) 81.97

ROSIER Recognition of Stroke in the Emergency Room scale, FAST Face Arm Speech Test, LAPSS Los Angeles Pre-Hospital Stroke Screen, GZSS Guangzhou Stroke Scale, PLR positive likelihood ratio, NLR negative likelihood ratio, PPV positive predictive value, NPV negative predictive value