RESUMO
BACKGROUND: Prostate cancer (PCa) (early) detection poses significant challenges, including unnecessary testing and the risk of potential overdiagnosis. The European Association of Urology therefore suggests an individual risk-adapted approach, incorporating risk calculators (RCs) into the PCa detection pathway. In the context of 'The PRostate Cancer Awareness and Initiative for Screening in the European Union' (PRAISE-U) project ( https://uroweb.org/praise-u ), we aim to provide an overview of the currently available clinical RCs applicable in an early PCa detection algorithm. METHODS: We performed a systematic review to identify RCs predicting detection of clinically significant PCa at biopsy. A search was performed in the databases Medline ALL, Embase, Web of Science Core Collection, Cochrane Central Register of Controlled Trials and Google Scholar for publications between January 2010 and July 2023. We retrieved relevant literature by using the terms "prostate cancer", "screening/diagnosis" and "predictive model". Inclusion criteria included systematic reviews, meta-analyses, and clinical trials. Exclusion criteria applied to studies involving pre-targeted high-risk populations, diagnosed PCa patients, or a sample sizes under 50 men. RESULTS: We identified 6474 articles, of which 140 were included after screening abstracts and full texts. In total, we identified 96 unique RCs. Among these, 45 underwent external validation, with 28 validated in multiple cohorts. Of the externally validated RCs, 17 are based on clinical factors, 19 incorporate clinical factors along with MRI details, 4 were based on blood biomarkers alone or in combination with clinical factors, and 5 included urinary biomarkers. The median AUC of externally validated RCs ranged from 0.63 to 0.93. CONCLUSIONS: This systematic review offers an extensive analysis of currently available RCs, their variable utilization, and performance within validation cohorts. RCs have consistently demonstrated their capacity to mitigate the limitations associated with early detection and have been integrated into modern practice and screening trials. Nevertheless, the lack of external validation data raises concerns about numerous RCs, and it is crucial to factor in this omission when evaluating whether a specific RC is applicable to one's target population.
RESUMO
Background: Lymphoceles, lymph fluid-filled collections within the body lacking epithelial lining, are a common complication after pelvic lymph node dissection (PLND) during robot-assisted radical prostatectomy (RARP). In this study, we investigate the incidence of imaging confirmed symptomatic lymphoceles (SLC) in a centralized high-volume operating centre and assess predictive factors and treatment. Methods: We retrospectively analysed the incidence, risk factors and treatment of a consecutive series of patients who underwent PLND during RARP between September 2018 and January 2021 in a specialised operation clinic. We compared baseline patients' characteristics and pathological data between men who developed an SLC and those who did not. A multivariable model for the occurrence of an SLC was created using predetermined, clinically relevant variables to investigate predictive factors. Results: We analysed the records of 404 patients. The median follow-up length was 29 months. A total of 30 (7.4%) patients with an SLC were identified. The median time until SLC presentation was 12 weeks [interquartile range (IQR), 4-31 weeks], one-third of SLCs presented after 180 days. Percutaneous drainage was performed in 17 patients (57%). On multivariable analysis, only body mass index (BMI) significantly increased the odds of an SLC [per 5 odds ratio (OR) =1.7; 95% confidence interval (CI): 1.0-3.0, P=0.04]. Conclusions: SLCs present significant consequences, as more than half of patients with an SLC were treated with percutaneous drainage. Many patients presented later than the centralized surgeons' postoperative follow-up, a drawback of centralized care. An increased BMI was a significant predictor for SLC.
