Lughezzani G, Lazzeri M, Haese A, McNicholas T, de la Taille A, Buffi NM, Fossati N, Lista G, Larcher A, Abrate A, Mistretta A, Bini V, Palou Redorta J, Graefen M, Guazzoni G. Multicenter European external validation of a prostate health index-based nomogram for predicting prostate cancer at extended biopsy.
Eur Urol 2013;
66:906-12. [PMID:
24361258 DOI:
10.1016/j.eururo.2013.12.005]
[Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2013] [Accepted: 12/05/2013] [Indexed: 10/25/2022]
Abstract
BACKGROUND
External validation of a prediction tool is mandatory to assess the tool's accuracy and generalizability within different patient cohorts.
OBJECTIVE
To externally validate a previously developed Prostate Health Index (PHI)-based nomogram for predicting the presence of prostate cancer (PCa) at biopsy.
DESIGN, SETTING, AND PARTICIPANTS
The study population consisted of 883 patients who were scheduled for a prostate biopsy at one of five European tertiary care centers. Total prostate-specific antigen (tPSA), free prostate-specific antigen (fPSA), and [-2]pro-prostate-specific antigen (p2PSA) levels were determined. The fPSA-to-tPSA ratio (%fPSA), p2PSA, and PHI ([p2PSA / fPSA] × √tPSA) were calculated.
INTERVENTION
Extended initial and repeat prostate biopsy.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS
Logistic regression models were fitted to test the predictors of PCa and to determine their predictive accuracy. A calibration plot was used to evaluate the extent of overestimation or underestimation between nomogram predictions and observed PCa rate. Decision curve analysis (DCA) provided an estimate of the net benefit obtained by using the PHI-based nomogram.
RESULTS AND LIMITATIONS
Of 833 patients, 365 (41.3%) were diagnosed with PCa at extended prostate biopsy. In accuracy analyses, PHI was the most informative predictor of PCa (0.68), outperforming tPSA (0.51) and %fPSA (0.64). The predictive accuracy of the previously developed nomogram was 75.2% (95% confidence interval, 71.4-78.1). Calibration of the nomogram was good in patients at a low to intermediate predicted probability of PCa, while calibration was suboptimal, with a tendency to overestimate the presence of PCa, in high-risk patients. Finally, DCA demonstrated that the use of the PHI-based nomogram resulted in the highest net benefit. The main limitation of the study is the fact that only Caucasian patients were included.
CONCLUSIONS
At external validation, the previously developed PHI-based nomogram confirmed its ability to determine the presence of PCa at biopsy. These findings provide further evidence supporting the potential role of the nomogram in the biopsy decision pathway for European men with suspected PCa.
PATIENT SUMMARY
In the current study, we externally validated a Prostate Health Index-based nomogram to predict the presence of prostate cancer (PCa) at biopsy. This tool may help clinicians determine the need for a prostate biopsy in European patients with suspected PCa.
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