In order to develop a model for predicting the response to Bacillus Calmette-Guerin (BCG) treatment in patients with nonmuscle invasive bladder cancer, we included inflammatory and nutritional indicators from a cohort of 491 patients. We constructed a prognostic index using a Lasso regression model and validated its effectiveness, demonstrating its potential for clinical application.

中文翻译：

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由 LASSO 选择的非肌层浸润性膀胱癌术前炎症和营养标志物得出的预后指数

为了开发一个模型来预测非肌层浸润性膀胱癌患者对卡介苗 (BCG) 治疗的反应，我们纳入了 491 名患者的炎症和营养指标。我们使用Lasso回归模型构建了预后指数并验证了其有效性，展示了其临床应用的潜力。