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. 2018 Oct 11;123(5):826–833. doi: 10.1111/bju.14540

Table 2.

Univariate and multivariable analyses to assess the predictive value in prostate cancer detection and specificity at 95% and 90% sensitivity

Specificity (%) AUC P
Sensitivity 95%(CI) 90%(CI)
Training set
Univariate
tPSA 9 (5–17) 18 (11–26) 0.56 (0.49–0.63) 0.115
fPSA 8 (3–14) 12 (7–20) 0.58 (0.51–0.65) 0.036
%fPSA 1 (0–5) 20 (13–28) 0.66 (0.59–0.73) <0.001
CTSD 4 (1–9) 11 (6–19) 0.57 (0.49–0.64) 0.073
THBS1 31 (22–41) 53 (43–63) 0.81 (0.75–0.87) <0.001
Multivariable
THBS1 + CTSD 33 (24–43) 55 (45–65) 0.82 (0.76–0.87) <0.001
%fPSA + THBS1 + CTSD 32 (23–42) 53 (43–63) 0.83 (0.78–0.88) <0.001
Validation set
Univariate
tPSA 12 (7–19) 22 (14.9–29.8) 0.52 (0.45–0.6) 0.514
fPSA 11 (6–18) 34 (26–43) 0.59 (0.52–0.66) 0.019
%fPSA 11 (6–18) 23 (16–31) 0.64 (0.57–0.71) <0.001
CTSD 7 (3–13) 12 (7–19) 0.58 (0.5–0.65) 0.044
THBS1 35 (27–44) 50 (42–60) 0.84 (0.79–0.89) <0.001
Multivariable
THBS1 + CTSD 35 (27–44) 57 (48–65) 0.85 (0.8–0.9) <0.001
%fPSA + THBS1 + CTSD 34 (26–43) 62 (53–70) 0.86 (0.82–0.91) <0.001

%fPSA, percentage of free PSA to total PSA ratio; AUC, area under the curve; CTSD, cathepsin D; fPSA, free PSA; THBS1, thrombospondin 1; tPSA, total PSA.