Skip to main content
. 2022 May 19;41:24–34. doi: 10.1016/j.euros.2022.04.011

Table 3.

The ability of various combinations of preoperative parameters of interest to predict BCR and metastatic recurrence, in a multivariable analysisa

Variable SHR (95% CI) p value AIC C-index (95% CI)
BCR Model 1 %GP4/5 <0.0001 1512 0.77 (0.72–0.82)
 0–20 1.00 (Ref.)
 30–75 5.03 (3.31–7.63) <0.0001
 100 7.11 (4.08–12.37) <0.0001
Diameter (mm) 1.03 (1.01–1.05) 0.003
Model 2 %GP4/5 <0.0001 1505 0.78 (0.73–0.82)
 0–20 1.00 (Ref.)
 30–75 4.66 (3.05–7.10) <0.0001
 100 6.02 (3.34–10.85) <0.0001
Diameter (mm) 1.02 (1.00–1.05) 0.031
PSA density (ng/ml/ml) log 1.45 (1.11–1.89) 0.006
Model 3 %GP4/5 <0.0001 1500 0.77 (0.73–0.82)
 0–20 1.00 (Ref.)
 30–75 4.39 (2.88–6.69) <0.0001
 100 7.01 (4.87–11.79) <0.0001
MCCL (mm) 1.14 (1.08–1.20) <0.0001
Model 4 %GP4/5 <0.0001 1493 0.78 (0.74–0.83)
 0–20 1.00 (Ref.)
 30–75 4.05 (2.64–6.19) <0.0001
 100 5.83 (3.34–10.18) <0.0001
MCCL (mm) 1.12 (1.06–1.19) <0.0001
PSA density (ng/ml/ml) log 1.46 (1.12–1.89) 0.004
Metastatic recurrence Model 5 %GP4/5 <0.0001 512 0.86 (0.79–0.91)
 0–30 1.00 (Ref.)
 40–75 11.10 (4.64–26.56) <0.0001
 100 12.20 (4.16–35.72) <0.0001
Diameter (mm) 1.05 (1.02–1.08) <0.0001
Model 6 %GP4/5 <0.0001 513 0.86 (0.80–0.92)
 0–30 1.00 (Ref.)
 40–75 10.68 (4.44–25.62) <0.0001
 100 11.42 (3.80–34.32) <0.0001
Diameter (mm) 1.05 (1.02–1.08) 0.0004
PSA density (ng/ml/ml) log 1.18 (0.81–1.71) 0.37
Model 7 %GP4/5 <0.0001 511 0.85 (0.78–0.91)
 0–30 1.00 (Ref.)
 40–75 9.70 (4.08–23.06) <0.0001
 100 14.02 (5.22–37.63) <0.0001
MCCL (mm) 1.20 (1.10–1.30) <0.0001
Model 8 %GP4/5 <0.0001 512 0.85 (0.79–0.92)
 0–30 1.00 (Ref.)
 40–75 9.06 (3.78–21.66) <0.0001
 100 12.63 (4.59–34.74) <0.0001
MCCL (mm) 1.19 (1.09–1.29) <0.0001
PSA density (ng/ml/ml) log 1.29 (0.92–1.80) 0.13

AIC = Akaike information criterion; BCR = biochemical recurrence; CI = confidence interval; %GP4/5 = percentage of Gleason pattern 4 or 5; MCCL = maximum cancer core length; PSAD = prostate-specific antigen density; Ref. = reference; SHR = subhazard ratio.

a

Several multivariable models were tested, including PSAD (as a continuous variable, after log transformation), a tumor size variable (either diameter or, after log transformation, the MCCL), and/or %GP4/5 (using the best threshold value from the univariate analysis). The AIC and Harrell's C-index are reported as a guide to the models’ respective performances: the lower the AIC and the higher the C-index, the better the prediction.