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Additional Supporting Information may be found in the online version of this article.

FilenameFormatSizeDescription
IJC_23983_sm_suppinfofigure1a.tif342KSupporting Figure 1. – (a) Comparison of clinical total PSA values, and “laboratory” total PSA values measured in this study (entire group); r2 = 0.9540, slope = 1.22, intercept/constant = −0.49; y = −0.49 + 1.22x. The thick black line is the fitted linear regression line; for comparison, the perfect relationship (clinical tPSA = laboratory tPSA) is shown as the think black line. The concordance correlation coefficient was 0.94.
IJC_23983_sm_suppinfofigure1b.tif334KSupporting Figure 1. – (b) Comparison of clinical total PSA values, and “laboratory” total PSA values measured in this study; excluding 11 outliers with a total PSA >30 ng/ml; r2 = 0.8574, slope = 1.16, intercept/constant = −0.055; y = −0.055 + 1.16x. The thick black line is the fitted linear regression line; for comparison, the perfect relationship (clinical tPSA = laboratory tPSA) is shown as the think black line. The concordance correlation coefficient was 0.88.
IJC_23983_sm_suppinfotables1-4.doc122KSupporting Table 1. Clinical and pathological characteristics of cases and controls Supporting Table 2. Median tPSA, fPSA, and hK2 levels among all patients and among patients with tPSA ≤10 ng/ml Supporting Table 3. Multivariable results of conditional logistic regression for prediction of biochemical recurrence following radical prostatectomy among all patients and among patients with total PSA ≤10 ng/ml, controlling for pathologic tumor characteristics Supporting Table 4. Accuracy (defined in terms of the area under the ROC curve [AUC]) of a postoperative pathological prediction base model (including prostatectomy specimen Gleason score, ECE, SVI, LNI, SM, and total PSA), compared to this base model supplemented by free PSA and/or hK2 levels

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