2014
DOI: 10.1111/bju.12763
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External validation of the Briganti nomogram to estimate the probability of specimen‐confined disease in patients with high‐risk prostate cancer

Abstract: ObjectiveTo establish an external validation of the updated nomogram from Briganti et al., which provides estimates of the probability of specimen-confined disease using the variables age, prostate-specific antigen (PSA), clinical stage and biopsy Gleason score in preoperatively defined high-risk prostate cancer (PCa). Patients and MethodsThe study included 523 patients with high-risk PCa, as defined by d'Amico classification, undergoing radical prostatectomy (RP) and bilateral lymph node dissection in one of … Show more

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Cited by 10 publications
(10 citation statements)
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“…Mearini et al [11] performed an external validation of this nomogram in 623 patients with high-risk PCa according to the D'Amico classification between 2007 and 2011, and found an acceptable accuracy (Area Under Curve (AUC) = 66.3 %) with a perfect calibration characteristics of the nomogram in predicting the probability of specimen confined cancer in this heterogeneous group of patients. Those results were recently supported by Roumiguié et al [12] in their cohort of 523 patients undergoing RP and bilateral lymph node dissection for high-risk PCa. The AUC was of 64.7 % showing a relevant accuracy of the model.…”
Section: Definition Of High-risk Pcasupporting
confidence: 55%
See 1 more Smart Citation
“…Mearini et al [11] performed an external validation of this nomogram in 623 patients with high-risk PCa according to the D'Amico classification between 2007 and 2011, and found an acceptable accuracy (Area Under Curve (AUC) = 66.3 %) with a perfect calibration characteristics of the nomogram in predicting the probability of specimen confined cancer in this heterogeneous group of patients. Those results were recently supported by Roumiguié et al [12] in their cohort of 523 patients undergoing RP and bilateral lymph node dissection for high-risk PCa. The AUC was of 64.7 % showing a relevant accuracy of the model.…”
Section: Definition Of High-risk Pcasupporting
confidence: 55%
“…Although most series are retrospective and linked with a low level of evidence and thus a low grade of recommendations in [12] found PSA and cT stage to be independently predictive for organ-confined disease whereas for Mearini et al [11], only PSA was a significant predictor on multivariate analysis. On the contrary, Arcangeli et al [26] compared 162 patients with high-risk PCa undergoing external RT plus androgen deprivation to 122 patients treated with surgery at the same period and found more favorable outcomes in the RT group.…”
Section: Oncological Outcomes After Rpmentioning
confidence: 97%
“…Knowledge of the presence and extent of extracapsular extension (ECE) before surgery would help surgeons tailor the amount of NS. Several tools can predict the presence of ECE or other outcomes and most of them are based on routinely available variables . However, to our knowledge, there are no algorithms supporting preoperative planning with quantification not only of the presence of ECE but of the amount of ECE, this information is crucial in order to make an appropriate, standardised decision between a full NS, a partial NS, or a wide excision.…”
Section: Introductionmentioning
confidence: 99%
“…26 Those results were corroborated by Hinev et al, 27 who found that SCD and negative lymph node involvement were the only 2 independent prognostic variables for survival in patients with PSA 4 20 ng/mL who underwent radical prostatectomy as a first-line treatment for high-risk prostate cancer. Roumiguie et al, 28 after analyzing 523 patients with high-risk prostate cancer who underwent RP and BPLND, also demonstrated that BCR-free survival was improved in SCD compared with those without (P o 0.0001). Mearini et al, 29 using data from 176 patients with high-risk prostate cancer who underwent initial RP, showed that BCR and CSS in SCD was superior to that of non-SCD (56.2% and 97.7% vs 40.8% and 92.8%, respectively).…”
Section: Predicting Patient Outcomesmentioning
confidence: 96%