Thresholdsa | Methods | App prev | True prev | Sensitivity | Specificity | Accuracy | DOR | NND | Youden index | PPV | NPV | LR+ | LR− |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
VAT area | |||||||||||||
 174.0 (137.7–181.5) | Youden index | 47.3 (40.3–54.4) | 40.9 (34.0–48.0) | 0.723 (0.614–0.815) | 0.700 (0.610–0.780) | 0.709 (0.642–0.770) | 6.02 (3.28–11.31) | 2.36 (1.68–4.48) | 0.423 (0.223–0.596) | 0.625 (0.520–0.722) | 0.785 (0.695–0.859) | 2.41 (1.78–3.27) | 0.40 (0.27–0.57) |
 175.50 (154.6–180.1) | CTL | 47.8 (40.7–54.9) | 40.9 (34.0–48.0) | 0.735 (0.627–0.826) | 0.700 (0.610–0.780) | 0.714 (0.647–0.775) | 6.47 (3.46–12.08) | 2.30 (1.65–4.23) | 0.435 (0.236–0.606) | 0.629 (0.525–0.725) | 0.792 (0.703–0.865) | 2.45 (1.81–3.31) | 0.38 (0.26–0.55) |
WC | |||||||||||||
 94.40 (89.7–102.3) | Youden index | 36.4 (29.8–43.5) | 40.9 (34.0–48.0) | 0.614 (0.501–0.719) | 0.808 (0.726–0.874) | 0.729 (0.662–0.789) | 6.72 (3.56–12.67) | 2.36 (1.68–4.39) | 0.423 (0.228–0.594) | 0.689 (0.571–0.792) | 0.752 (0.668–0.824) | 3.21 (2.14–4.81) | 0.48 (0.36–0.63) |
 94.40 (93.3–101.2) | CTL | 36.4 (29.8–43.5) | 40.9 (34.0–48.0) | 0.614 (0.501–0.719) | 0.808 (0.726–0.874) | 0.729 (0.662–0.789) | 6.72 (3.56–12.67) | 2.36 (1.68–4.39) | 0.423 (0.228–0.594) | 0.689 (0.571–0.792) | 0.752 (0.668–0.824) | 3.21 (2.14–4.81) | 0.48 (0.36–0.63) |
 80b |  | 10.8 (6.9–15.9) | 40.9 (34.0–48.0) | 0.205 (0.124–0.307) | 0.958 (0.905––0.986) | 0.650 (0.580–0.716) | 5.92 (2.09–16.79) | 6.13 (3.40–33.87) | 0.163 (0.029–0.294) | 0.773 (0.546–0.922) | 0.635 (0.561–0.705) | 4.92 (1.89–12.80) | 0.83 (0.74–0.93) |
 90b |  | 26.1 (20.2–32.7) | 40.9 (34.0–48.0) | 0.482 (0.371–0.594) | 0.892 (0.822–0.941) | 0.724 (0.657–0.784) | 7.66 (3.73–15.71) | 2.68 (1.87–5.19) | 0.374 (0.193–0.535) | 0.755 (0.617–0.862) | 0.713 (0.634–0.784) | 4.45 (2.54–7.78) | 0.58 (0.47–0.72) |