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Development and validation of nomograms for predicting pentafecta outcomes before and after robot-assisted radical prostatectomy: a retrospective study

研究成果: ジャーナルへの寄稿学術論文査読

抄録

Prostate cancer (PCa) is one of the most common cancers among men worldwide, and robot-assisted radical prostatectomy (RARP) is a widely used treatment for localized PCa. Achieving pentafecta outcomes, which include continence, potency, cancer control, free surgical margins, and no major complications, is a critical measure of surgical success and long-term prognosis. However, predicting these outcomes remains challenging. In this retrospective, single-center study, we analyzed data from 1,752 patients who underwent RARP for localized prostate adenocarcinoma between August 2009 and April 2023. The pentafecta outcome was achieved in 290 patients (16.6%). Multivariate analysis revealed that bilateral nerve sparing significantly increased the likelihood of achieving the pentafecta outcome (odds ratio 10.36, 95% CI: 5.75–18.66; p < 0.001). Preoperative potency and bilateral nerve sparing were also identified as key predictors. Nomograms were developed using preoperative and postoperative variables, including age, PSA level, biopsy Gleason score, clinical stage, pathological tumor stage, tumor grade, nerve sparing, and preoperative potency. Internal validation of the nomograms was performed using bootstrapping methods, demonstrating robust predictive performance. These nomograms provide valuable tools for personalized surgical planning and patient counseling and may be applicable to broader populations, given the inclusion of universally recognized predictive factors and rigorous validation. This study presents the development and validation of nomograms to predict pentafecta outcomes before and after RARP. These nomograms provide valuable tools for clinicians to estimate the likelihood of achieving postoperative pentafecta outcomes. Incorporating these nomograms into clinical practice may improve patient counseling and shared decision-making.

本文言語英語
論文番号2079
ジャーナルScientific reports
15
1
DOI
出版ステータス出版済み - 12-2025

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 一般

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