External validation of nomogram predicting the probability of specimen-confined disease (pT2-3a, R0N0) in patients undergoing radical prostatectomy and pelvic lymph node dissection

Urol Int. 2014;93(3):262-8. doi: 10.1159/000354430. Epub 2013 Dec 14.

Abstract

Introduction: Before radical prostatectomy (RP), a nomogram [Briganti et al., Eur Urol 2012;61:584-592] permits to measure the probability of specimen-confined (SC) disease (pT2-pT3a, node negative with negative margins) in high-risk prostate cancer (PCa). The aim of our study was to perform an external validation of this nomogram.

Materials and methods: Between 2007 and 2011, 623 patients with high-risk PCa (prostate-specific antigen (PSA) >20 ng/ml and/or biopsy Gleason score ≥8 and/or clinical stage T3) underwent RP and pelvic lymph node dissection at tertiary referral centers. Multivariable logistic regression models predicting the presence of SC disease were built in; we then used the area under curve of the receiver operating characteristic analysis to quantify accuracy of the nomogram to predict SC disease. The extent of over- or underestimation was evaluated within calibration plots.

Results: 29% (181/623) of men had SC disease at RP. Preoperative PSA, biopsy Gleason score and stage differed significantly (all p < 0.001) between men with SC disease and those without. External validation of the nomogram showed an acceptable accuracy (area under curve: 66.3, 95% CI 62.4-70%) and a perfect calibration plot.

Conclusions: The external cohort validates the original nomogram, with perfect calibration characteristics. The adequate although reduced accuracy may reflect the wide spectrum and behavior of the so-called high-risk PCa.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Calibration
  • Cohort Studies
  • Humans
  • Lymph Node Excision / methods*
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Nomograms
  • Probability
  • Prostate-Specific Antigen / metabolism
  • Prostatectomy / methods*
  • Prostatic Neoplasms / diagnosis*
  • Prostatic Neoplasms / surgery*
  • ROC Curve
  • Regression Analysis
  • Reproducibility of Results
  • Risk Factors
  • Sensitivity and Specificity

Substances

  • Prostate-Specific Antigen