Analysis of risk factors for postoperative bladder cancer in patients with upper tract urothelial carcinoma and construction of nomogram prediction model.

IF 1.9 3区 医学 Q3 UROLOGY & NEPHROLOGY
Xin Li, Jianxi Wang, Kangning Wang, Shuo Tan
{"title":"Analysis of risk factors for postoperative bladder cancer in patients with upper tract urothelial carcinoma and construction of nomogram prediction model.","authors":"Xin Li, Jianxi Wang, Kangning Wang, Shuo Tan","doi":"10.1186/s12894-025-01926-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To explore the risk factors for bladder cancer following upper tract urothelial carcinoma (UTUC) surgery and to construct a nomogram prediction model.</p><p><strong>Methods: </strong>A retrospective cohort of 292 patients with UTUC treated at our hospital from February 2010 to April 2020 was enrolled and divided into a training set (204 cases) and an internal validation set (88 cases). Based on the postoperative occurrence of bladder cancer, the training set was subdivided into a bladder cancer group and a non-bladder cancer group. An additional 268 UTUC patients from other hospitals during the same period were selected as an external validation group. Logistic regression analysis was used to determine the influencing factors. The nomogram risk prediction model for postoperative bladder cancer was developed. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow (H-L) test, and decision curve analysis (DCA) were used to evaluate the predictive performance of the nomogram model.</p><p><strong>Results: </strong>Tumor stage T3-T4, tumor grade G3, history of bladder cancer, and preoperative ureteroscopy examination were independent risk factors for postoperative bladder cancer in UTUC patients, and preventive bladder perfusion was an independent protective factor (P < 0.05). Internal verification: The AUC values of the ROC curves for the training and validation sets were 0.864 and 0.831, respectively. The calibration curves showed good agreement between the nomogram's predictions and actual observations. The H-L test revealed that χ<sup>2</sup> = 7.555 and 7.365, P = 0.478 and 0.392, respectively. The clinical practicality of the nomogram in DCA was relatively high. External validation: The AUC was 0.847. The calibration curve showed good agreement, and the H-L test resulted in χ2 = 6.175, P = 0.538. DCA confirmed the model's high clinical utility.</p><p><strong>Conclusion: </strong>The nomogram, which integrates tumor stage, tumor grade, history of bladder cancer, preoperative ureteroscopy, and preventive intravesical instillation, demonstrates a high predictive ability for postoperative bladder cancer.</p>","PeriodicalId":9285,"journal":{"name":"BMC Urology","volume":"25 1","pages":"247"},"PeriodicalIF":1.9000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495606/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Urology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12894-025-01926-0","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To explore the risk factors for bladder cancer following upper tract urothelial carcinoma (UTUC) surgery and to construct a nomogram prediction model.

Methods: A retrospective cohort of 292 patients with UTUC treated at our hospital from February 2010 to April 2020 was enrolled and divided into a training set (204 cases) and an internal validation set (88 cases). Based on the postoperative occurrence of bladder cancer, the training set was subdivided into a bladder cancer group and a non-bladder cancer group. An additional 268 UTUC patients from other hospitals during the same period were selected as an external validation group. Logistic regression analysis was used to determine the influencing factors. The nomogram risk prediction model for postoperative bladder cancer was developed. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow (H-L) test, and decision curve analysis (DCA) were used to evaluate the predictive performance of the nomogram model.

Results: Tumor stage T3-T4, tumor grade G3, history of bladder cancer, and preoperative ureteroscopy examination were independent risk factors for postoperative bladder cancer in UTUC patients, and preventive bladder perfusion was an independent protective factor (P < 0.05). Internal verification: The AUC values of the ROC curves for the training and validation sets were 0.864 and 0.831, respectively. The calibration curves showed good agreement between the nomogram's predictions and actual observations. The H-L test revealed that χ2 = 7.555 and 7.365, P = 0.478 and 0.392, respectively. The clinical practicality of the nomogram in DCA was relatively high. External validation: The AUC was 0.847. The calibration curve showed good agreement, and the H-L test resulted in χ2 = 6.175, P = 0.538. DCA confirmed the model's high clinical utility.

Conclusion: The nomogram, which integrates tumor stage, tumor grade, history of bladder cancer, preoperative ureteroscopy, and preventive intravesical instillation, demonstrates a high predictive ability for postoperative bladder cancer.

上尿路上皮癌术后膀胱癌的危险因素分析及nomogram预测模型的建立。
目的:探讨上尿路上皮癌(UTUC)术后膀胱癌的危险因素,并建立nomogram预测模型。方法:选取2010年2月至2020年4月在我院治疗的292例UTUC患者作为回顾性队列,分为训练集204例和内部验证集88例。根据膀胱癌术后发生情况,将训练集细分为膀胱癌组和非膀胱癌组。另外选取同期其他医院的UTUC患者268例作为外部验证组。采用Logistic回归分析确定影响因素。建立膀胱癌术后nomogram风险预测模型。采用受试者工作特征曲线(ROC)曲线下面积(AUC)、校正曲线、Hosmer-Lemeshow (H-L)检验和决策曲线分析(DCA)来评价nomogram模型的预测性能。结果:肿瘤分期T3-T4、肿瘤分级G3、膀胱癌病史、术前输尿管镜检查是UTUC患者术后膀胱癌的独立危险因素,预防性膀胱灌注是独立保护因素(P值分别为7.555和7.365,P值分别为0.478和0.392)。该图在DCA中的临床实用性较高。外部验证:AUC为0.847。校正曲线吻合较好,H-L检验结果χ2 = 6.175, P = 0.538。DCA证实了该模型具有较高的临床实用性。结论:nomogram肿瘤分期、肿瘤分级、膀胱癌病史、术前输尿管镜检查、预防性膀胱内灌注等综合指标对膀胱癌术后预后具有较高的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
BMC Urology
BMC Urology UROLOGY & NEPHROLOGY-
CiteScore
3.20
自引率
0.00%
发文量
177
审稿时长
>12 weeks
期刊介绍: BMC Urology is an open access journal publishing original peer-reviewed research articles in all aspects of the prevention, diagnosis and management of urological disorders, as well as related molecular genetics, pathophysiology, and epidemiology. The journal considers manuscripts in the following broad subject-specific sections of urology: Endourology and technology Epidemiology and health outcomes Pediatric urology Pre-clinical and basic research Reconstructive urology Sexual function and fertility Urological imaging Urological oncology Voiding dysfunction Case reports.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信