Table 7.
Sensitivity, specificity, predictive values and likelihood ratios for different cutoff values
Metric (95% CI) | Cutoff 10 | Cutoff 11 | Cutoff 12 | Cutoff 13 |
---|---|---|---|---|
Sensitivity | 0.91 (0.81, 0.97) | 0.86 (0.76, 0.94) | 0.76 (0.64, 0.85) | 0.68 (0.56, 0.79) |
Specificity | 0.49 (0.33, 0.65) | 0.60 (0.44, 0.75) | 0.79 (0.64, 0.90) | 0.84 (0.69, 0.93) |
Positive predictive value | 0.73 (0.62, 0.82) | 0.77 (0.66, 0.86) | 0.85 (0.73, 0.93) | 0.87 (0.74, 0.94) |
Negative predictive value | 0.78 (0.58, 0.91) | 0.74 (0.57, 0.88) | 0.68 (0.53, 0.80) | 0.63 (0.49, 0.76) |
Positive likelihood ratio | 1.78 (1.31, 2.40) | 2.18 (1.49, 3.20) | 3.62 (1.99, 6.57) | 4.19 (2.08, 8.41) |
Negative likelihood ratio | 0.19 (0.08, 0.42) | 0.23 (0.12, 0.43) | 0.31 (0.19, 0.48) | 0.38 (0.26, 0.55) |