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. 2023 Oct 12;65:102271. doi: 10.1016/j.eclinm.2023.102271

Table 2.

Prediction performance of DERBY and DERBY+ model.

Training cohort (N = 103) Internal validation cohort (N = 65) Histology cohort (N = 82) External validation cohort (N = 102) Negative validation cohort (N = 37)
DERBY model
AUC (95% CI) 0.92 (0.87–0.97) 0.84 (0.74–0.93) 0.77 (0.67–0.87) 0.53 (0.34–0.73)
Sensitivity (95% CI) 0.84 (0.69–0.93) 0.67 (0.48–0.81) 0.68 (0.54–0.80) 0.31 (0.12–0.59)
Specificity (95% CI) 0.80 (0.67–0.88) 0.84 (0.66–0.94) 0.80 (0.65–0.89) 0.67 (0.43–0.85)
PPV (95% CI) 0.75 (0.60–0.86) 0.81 (0.61–0.93) 0.78 (0.63–0.89) 0.42 (0.16–0.71)
NPV (95% CI) 0.87 (0.75–0.94) 0.71 (0.54–0.84) 0.70 (0.56–0.81) 0.56 (0.35–0.75)
DERBY+ model
AUC (95% CI) 0.95 (0.91–1.00) 0.83 (0.75–0.92) 0.58 (0.39–0.76)
Sensitivity (95% CI) 0.96 (0.85–0.99) 0.80 (0.66–0.90) 0.40 (0.17–0.67)
Specificity (95% CI) 0.85 (0.68–0.94) 0.77 (0.63–0.87) 0.73 (0.50–0.88)
PPV (95% CI) 0.90 (0.78–0.96) 0.74 (0.59–0.85) 0.50 (0.22–0.78)
NPV (95% CI) 0.94 (0.77–0.99) 0.83 (0.69–0.91) 0.64 (0.42–0.81)

Abbreviation: AUC, area under curve; PPV, positive predictive value; NPV, negative predictive value; CI, confidence interval.