首页> 外文期刊>Japanese journal of clinical oncology. >A study of pretreatment nomograms to predict pathological stage and biochemical recurrence after radical prostatectomy for clinically resectable prostate cancer in Japanese men.
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A study of pretreatment nomograms to predict pathological stage and biochemical recurrence after radical prostatectomy for clinically resectable prostate cancer in Japanese men.

机译:一项对日本男性进行临床可切除前列腺癌的前列腺癌根治术后的术前列线图预测病理分期和生化复发的研究。

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摘要

BACKGROUND: Accurate pretreatment identification of the risks that prostate cancer has extended beyond the gland and that it will recur would significantly influence practice patterns. Preoperative nomograms to predict such risks have not been developed for the oriental male population. METHODS: Construction of nomograms to predict preoperatively pathological outcome and early biochemical failure following radical prostatectomy in Japanese males was based on logistic regression analysis, with predicted probabilities and 95% confidence intervals for the final model being obtained by repeating the analysis on 1000 bootstrap samples from the original cohort. RESULTS: Prostate-specific antigen level, clinical stage and biopsy Gleason score contributed significantly to the prediction of pathological stage and of biochemical failure in the univariate analysis (p < 0.001). Combined use of these three variables predicted these treatment outcomes better than any single variable (p < 0.001). Nomograms combining these three variables to predict final pathological findings and early biochemical failure were then developed. The medians and 95% confidence intervals of the predicted probabilities are presented in the nomograms. CONCLUSIONS: This information enables clinicians to use their nomograms when counseling Japanese patients, leading to more informed treatment decisions and helping to identify those with a high risk of early biochemical failure. The nomograms may also be used to assure comparability of different treatment modalities in investigational trials.
机译:背景:对前列腺癌已扩展到腺体之外且复发的风险进行准确的治疗前鉴定将极大地影响实践模式。尚未针对东方男性人群开发术前列线图以预测此类风险。方法:以逻辑回归分析为基础,构建诺模图以预测日本男性根治性前列腺切除术后的术前病理结果和早期生化失败,并通过对1000个自举样品进行重复分析获得最终模型的预测概率和95%置信区间原始队列。结果:在单因素分析中,前列腺特异性抗原水平,临床分期和活检格里森评分对预测病理分期和生化衰竭有显着贡献(p <0.001)。这三个变量的组合使用预测的治疗效果要好于任何单个变量(p <0.001)。然后开发了将这三个变量结合起来的诺法图,以预测最终的病理结果和早期生化失败。列线图中显示了预测概率的中位数和95%置信区间。结论:这些信息使临床医生可以在咨询日本患者时使用列线图,从而导致更明智的治疗决策,并有助于识别那些早期生化失败风险高的患者。诺模图还可用于确保研究试验中不同治疗方式的可比性。

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