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Objectives: To investigate the rate of prostate cancer-specific mortality (PCSM) and disease characteristics in patients diagnosed with localised prostate cancer at age 80-89 years in comparison with men diagnosed at age 70-79 years., Patients and Methods: This is a retrospective study of data from the South Australian Prostate Cancer Clinical Outcomes Collaborative (SA-PCCOC). Included were men diagnosed between 2005 and 2014, aged ≥70 years with no evidence of metastatic disease at presentation. Propensity score matching and competing risk Fine and Grey regression were used to assess the chance of treatment (curative vs non-curative) and treatment effect on PCSM., Results: Of the 1 951 eligible patients, 1 428 (76%) were aged 70-79 years and 460 (24%) were aged 80-89 years at diagnosis, with a median (interquartile range) age of 74 (72-76) and 83 (81-85) years, respectively. The 80-89 years group had higher Gleason scores and Prostate Specific Antigen (PSA) values (all P < 0.001) in comparison with the younger group. The 80-89 years group were less likely to be treated with curative treatment (odds ratio 0.12, 95% confidence interval 0.09-0.16; P < 0.001). The proportion of deaths attributable to prostate cancer was similar in both groups: 73 of 263 deaths (28%) in the 80-89 years group vs 97 of 310 deaths (31%) in the 70-79 years group. The risk of PCSM in individuals treated with curative intent was reduced in both groups., Conclusions: The proportion of prostate cancer deaths was similar in both groups. These findings support carefully selected individualised management of elderly patients diagnosed with localised prostate cancer., (© 2018 The Authors BJU International © 2018 BJU International Published by John Wiley & Sons Ltd.)

Unlabelled: What's known on the subject? and What does the study add? Prognostic tools, such as the Cancer of the Prostate Risk Assessment (CAPRA) score and the 1998 Kattan and 2006 Stephenson nomograms, predicting biochemical recurrence after radical prostatectomy are widely used for treatment decision making and counselling patients. However, tools derived in certain cohorts tend to perform less well when they are applied to populations that are dissimilar in terms of population or disease characteristics, health systems or treatment practices. Some of the loss in accuracy of a prognostic tool is a consequence of unknown factors and hence the performance of a tool when applied to a different population is unknown and largely unpredictable. This study validates these widely used tools in South Australian patients treated at three public hospitals. All three tools discriminated well according to risk of recurrence in these patients. However, when compared against observed rates of recurrence, it was found that predictions of recurrence varied widely between the three tools, suggesting that their use in counselling patients on such risk may not be appropriate. Interestingly, the oldest of the three tools (Kattan 1998) was the best predictor of absolute risk of recurrence. In the paper, this is linked to later adoption of updated Gleason grading, among other factors., Summary: In many countries, prognostic tools, which draw on the experience of thousands of patients with cancer, are used to predict cancer outcomes, but accuracy varies. This paper compares the accuracy of three widely used tools predicting prostate cancer recurrence after surgery in Australian patients. The results show that all tools were good at predicting which patients were most likely to experience recurrence and which were least. However, prediction of absolute risk varied and the oldest tool was the most accurate., Objective: • To compare performance of the CAPRA score and two commonly used risk assessment nomograms, the 1998 Kattan and the 2006 Stephenson, in an untested Australian cohort., Patients and Methods: • We present data on 635 men from the South Australian Prostate Cancer Clinical Outcomes Database who underwent radical prostatectomy between January 1996 and May 2009 and had all required variables for predicting biochemical recurrence (BCR). • BCR was defined as prostate-specific antigen ≥ 0.2 ng/mL or secondary treatment for a rising prostate-specific antigen. • Accuracy was evaluated using Harrell's concordance index, plotting calibration curves, and constructing decision analysis curves., Results: • Concordance indices were high for all three tools: 0.791, 0.787 and 0.744 for the 2006 Stephenson nomogram, CAPRA score and 1998 Kattan nomogram respectively. •  At 3 years, calibration of the tools (agreement between predicted and observed BCR-free probability) was close to ideal for the 1998 Kattan nomogram, whereas the 2006 Stephenson model underestimated and the CAPRA model overestimated BCR-free probability. • The 1998 Kattan and 2005 CAPRA tools performed better than the 2006 Stephenson nomogram across a wide range of threshold probabilities using decision curve analysis., Conclusion: • All three tools discriminate between patients' risk effectively. • Absolute estimates of risk are likely to vary widely between tools, however, suggesting that models should be validated and, if necessary, recalibrated in the population to which they will be applied. • Recent development does not mean a nomogram is more accurate for use in a particular population., (© 2011 THE AUTHORS. BJU INTERNATIONAL © 2011 BJU INTERNATIONAL.)

Purpose: Prostate cancer (CaP) in younger men (age ≤50 years) appears to present differently compared with older men. This study describes CaP characteristics and outcomes in Australian young men. Methods: The South Australian Prostate Cancer Clinical Outcomes Collaborative database was used to identify men diagnosed with CaP 1998-2012. Men were stratified by age at diagnosis into groups ≤50, 50-70 and ≥70 years. Primary outcomes of cumulative biochemical recurrence (BCR) and cumulative prostate cancer-specific mortality (PCSM) were assessed at 5 and 10 years. Results: In total, 7018 men were included. At time of diagnosis, 182 (2.6 %) were aged ≤50 years. Median follow-up exceeded 4 years. Younger men had a greater proportion of T stage <2 disease, lower median PSA and higher rates of Gleason score <7 (all p < 0.001). They were more likely to experience active surveillance (AS) (4.9, 3.1, 1.5 %) or radical prostatectomy (RP) (70, 55, 8 %) and less likely radiotherapy (13, 24, 29 %) as their principal modality (all p < 0.001). Although only 4.9 % underwent AS, 48 % of men ≤50 years were eligible for AS. Men ≤50 years had both the lowest unadjusted cumulative BCR and PCSM at 10 years. After multivariate analysis, BCR was not significantly different. Sample size limited multivariate analysis of PCSM. Conclusions: In our cohort, men ≤50 years with CaP had less aggressive clinical characteristics, but were more likely to undergo RP. They appear to experience lower unadjusted PCSM, but similar rates of adjusted BCR. Further studies are needed to assess whether AS is appropriately utilised in these men. [ABSTRACT FROM AUTHOR]