The study aimed to investigate the best‐performing of three risk calculators (RCs) for the Turkish population in predicting cancer‐free status and high‐risk prostate cancer (PCa) in patients undergoing transrectal ultrasound‐guided prostate biopsy. The electronic medical records of 527 patients who underwent prostate biopsy for the first time due to PSA of 0.3–50 ng/dl and/or cancer suspicion at digital rectal examination (DRE) between January 2017 and December 2020 were retrieved retrospectively. The predictive power of the RCs in the biopsy and the surgical cohort was calculated by two urologists using European Randomised Study of Screening for Prostate Cancer (ERSPC) RC, the North American Prostate Cancer Prevention Trial‐RC (PCPT‐RC), and the Prostate Biopsy Collaborative Group (PBCG)‐RC. All three RCs were successful in predicting PCa and high‐risk disease at ROC analysis (p < 0.0001). Of these three nomograms, PBCG‐RC outperformed PCPT‐RC 2.0 and ERSPC‐RH in predicting benign pathology outcomes at biopsy. A better performance of PBCG‐RC was also observed in terms of prediction of high‐risk disease at biopsy. Using any of the available RCs prior to biopsy is of greater assistance to prostate‐specific antigen and DRE than examination alone. The study results show that PBCG‐RC performed before biopsy has a higher predictive power than the other two RCs.
Purpose: To investigate the role of inflammatory markers in predicting the spontaneous passage of ureteral stones.
Methods: We retrospectively reviewed 279 patients with ureteral
stones sized 4–10 mm that were managed conservatively. The patients were divided into two
groups: Group 1 consisted of 137 patients who passed the stone spontaneously; Group 2
comprised 142 patients without spontaneous stone passage. The groups were compared using the
Mann-Whitney U and chi-square tests. In addition, univariate and multivariate analyses were
performed to identify the significance of the parameters.
Results: The mean age of the patients was 41.2 years. The patients in Group 1 had a significantly lower mean stone size, white blood cell count and neutrophil count. In addition, stone location, presence of hydronephrosis and history of urolithiasis were significantly different between the groups. Neutrophil percentage, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio were insignificantly lower in Group 1. In a multivariate analysis, stone size, distal location and hydronephrosis status significantly predicted the spontaneous stone passage. However, inflammatory markers including white blood cell count, neutrophil count and neutrophil-to-lymphocyte ratio could not determine the likelihood of spontaneous stone passage.
Conclusion: Our results suggest that inflammatory markers are no meaningful parameters for the prediction of spontaneous stone passage.
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