Development and internal validation of a nomogram predicting the probability of prostate cancer Gleason sum upgrading between biopsy and radical prostatectomy pathology.
Standard
Development and internal validation of a nomogram predicting the probability of prostate cancer Gleason sum upgrading between biopsy and radical prostatectomy pathology. / Chun, Felix K-H; Steuber, Thomas; Erbersdobler, Andreas; Currlin, Eike; Walz, Jochen; Schlomm, Thorsten; Haese, Alexander; Heinzer, Hans; McCormack, Michael; Huland, Hartwig; Graefen, Markus; Karakiewicz, Pierre I.
in: EUR UROL, Jahrgang 49, Nr. 5, 5, 2006, S. 820-826.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Development and internal validation of a nomogram predicting the probability of prostate cancer Gleason sum upgrading between biopsy and radical prostatectomy pathology.
AU - Chun, Felix K-H
AU - Steuber, Thomas
AU - Erbersdobler, Andreas
AU - Currlin, Eike
AU - Walz, Jochen
AU - Schlomm, Thorsten
AU - Haese, Alexander
AU - Heinzer, Hans
AU - McCormack, Michael
AU - Huland, Hartwig
AU - Graefen, Markus
AU - Karakiewicz, Pierre I
PY - 2006
Y1 - 2006
N2 - OBJECTIVE: Previous reports indicate that as many as 43% of men with low grade PCa at biopsy will be diagnosed with high-grade PCa at RP. We explored the rate of upgrading from biopsy to RP specimen in our contemporary cohort, and developed a model capable of predicting the probability of biopsy Gleason sum upgrading. MATERIALS AND METHODS: The study cohort consisted of 2982 men treated with RP, with available clinical stage, serum prostate specific antigen and biopsy Gleason scores. These clinical data were used as predictors in multivariate logistic regression models (LRM) addressing the rate of Gleason sum upgrading between biopsy and RP pathology. LRM regression coefficients were used to develop a nomogram predicting the probability of Gleason sum upgrading and was subjected to 200 bootstrap resamples for internal validation and to reduce overfit bias. RESULTS: Overall, 875 patients were upgraded (29.3%). In multivariate LRMs, all predictors were highly significant (all p values
AB - OBJECTIVE: Previous reports indicate that as many as 43% of men with low grade PCa at biopsy will be diagnosed with high-grade PCa at RP. We explored the rate of upgrading from biopsy to RP specimen in our contemporary cohort, and developed a model capable of predicting the probability of biopsy Gleason sum upgrading. MATERIALS AND METHODS: The study cohort consisted of 2982 men treated with RP, with available clinical stage, serum prostate specific antigen and biopsy Gleason scores. These clinical data were used as predictors in multivariate logistic regression models (LRM) addressing the rate of Gleason sum upgrading between biopsy and RP pathology. LRM regression coefficients were used to develop a nomogram predicting the probability of Gleason sum upgrading and was subjected to 200 bootstrap resamples for internal validation and to reduce overfit bias. RESULTS: Overall, 875 patients were upgraded (29.3%). In multivariate LRMs, all predictors were highly significant (all p values
M3 - SCORING: Zeitschriftenaufsatz
VL - 49
SP - 820
EP - 826
JO - EUR UROL
JF - EUR UROL
SN - 0302-2838
IS - 5
M1 - 5
ER -
