Construction of A Nomogram Model for Recurrence in Patients with Non-Muscular Invasive Bladder Cancer after Transurethral Resection
Objective:To establish a nomogram prediction model for postoperative recurrence of non-muscular invasive bladder cancer(NMIBC).Methods:The data of 112 patients who underwent transurethral resection of NMIBC in the Urology Department of Lanling County People's Hospital from January 2019 to April 2021 were retrospectively analyzed.The patients were followed up for more than 2 years,and were divided into a recurrence group(n=23)and a non-recurrence group(n=89)according to whether they relapsed after surgery.Multivariate Logistic regression analysis,Hosmer-Lemeshow(HL),receiver operating characteristic(ROC)curve,area under the curve(AUC)and Bootstrap method were used to construct and validate the model.Results:The TNM stage of the tumor was T1,the tumor grade was highly differentiated,the tumor did not receive immediate bladder perfusion,the number of tumors was multiple,and the level of sugar antigen 19-9 was high,which were independent risk factors for recurrence of NMIBC patients after transurethral resection(P<0.05).The AUC area of the predicted model was 0.877(95%CI:0.803～0.952),and the HL test results showed χ2=6.628,P=0.567.Conclusion:The predictive efficacy of this nomogram model is good,and it is helpful for clinical prediction of recurrence risk in patients with NMIBC.
Non-Muscle invasive bladder cancerTransurethral resection of bladder tumorsRecurrence
万方数据
维普
