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. 2019 May 14;19:440. doi: 10.1186/s12885-019-5645-x

Table 3.

Conditional and post-test probability performance of the IHC based prediction model in the training and validation cohort

Training cohort Validation cohort Responder: PR Validation cohort Responder: PR + SD
Prevalence (responder) 63.3 (49.9–75.4) 26.1 (10.2–48.4) 56.5 (34.5–76.8)
Sensitivity 86.8 (71.9–95.6) 33.3 (4.3–77.7) 15.4 (1.9–45.5)
Specificity 63.6 (40.7–82.8) 82.4 (56.6–96-2) 70.0 (34.6–93.3)
LR+ (weighted by prevalence) 2.39 (1.36–4.21) 1.89 (0.41–8.71) 0.51 (0.10–2.51)
LR- (weighted by prevalence) 0.21 (0.09–0.50) 0.81 (0.44–1.49) 1.21 (0.76–1.93)
PPV 80.5 (70.1–87.9) 40.0 (12.6–75.5) 40.0 (12.0–76.5)
NPV 73.7 (53.8–87.1) 77.8 (65.6–86.5) 38.9 (28.5–50.4)

Data are expressed as percentages, except LR+ and LR- (odds), with 95% confidence intervals. Abbreviations: LR+ positive likelihood ratio, LR- negative likelihood ratio, PPV positive predictive value, NPV negative predictive value