• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

COBRA 列线图预测膀胱癌根治性切除术患者癌症特异性生存的验证:一项国际广泛队列研究。

Validation of the COBRA nomogram for the prediction of cancer specific survival in patients treated with radical cystectomy for bladder cancer: An international wide cohort study.

机构信息

Ospedale Sant'Andrea, Sapienza University of Rome, Roma, Italy.

Ospedale Sant'Andrea, Sapienza University of Rome, Roma, Italy.

出版信息

Eur J Surg Oncol. 2021 Oct;47(10):2646-2650. doi: 10.1016/j.ejso.2021.04.035. Epub 2021 Apr 30.

DOI:10.1016/j.ejso.2021.04.035
PMID:33966945
Abstract

BACKGROUND

Recently, the Cancer of the Bladder Risk Assessment (COBRA) score has been introduced to estimate cancer specific survival (CSS) after radical cystectomy for bladder cancer.

OBJECTIVES

Aim of our study was to validate the COBRA score, assessing the effect of age, tumor stage and lymph-nodes status on CSS after cystectomy in patients with bladder cancer.

DESIGN, SETTING, AND PARTICIPANTS: A consecutive series of 2395 patients with primitive or recurrent bladder cancer treated with radical cystectomy in 4 centers were evaluated.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

The role of COBRA score as predictor of CSS was assessed using the Kaplan Meier and Cox proportional hazards analyses. Accuracy of COBRA score was evaluated by Harrell's C test.

RESULTS AND LIMITATIONS

Median age was 66 (IQR 58/73) years. Overall, at a median follow-up of 48 (IQR 22/92) months, 642 patients (27%) died of bladder cancer. On Cox proportional hazards analyses, COBRA score was a significant predictor of CSS (HR 1.54, 95%CI 1.47-1.61) (Table 1). The predictive accuracy of the COBRA score was 0.71. A sub analysis including pooled COBRA score (0 vs 1-3 vs 4 vs 5-7) improved the clinical applicability with the same accuracy.

CONCLUSION

In our experience, the COBRA score is an excellent tool to predict cancer specific survival. The COBRA Score represents a practical and easy tool that may help urologists to classify the CSS of patients treated with radical cystectomy, to predict the oncological outcome and finally to counsel bladder cancer patients.

摘要

背景

最近,膀胱癌风险评估(COBRA)评分被引入,以估计膀胱癌根治性膀胱切除术后的癌症特异性生存(CSS)。

目的

我们的研究旨在验证 COBRA 评分,评估年龄、肿瘤分期和淋巴结状态对膀胱癌患者根治性膀胱切除术后 CSS 的影响。

设计、地点和参与者:对 4 个中心接受根治性膀胱切除术治疗的 2395 例原发性或复发性膀胱癌患者进行了连续系列评估。

观察指标和统计分析

使用 Kaplan-Meier 和 Cox 比例风险分析评估 COBRA 评分作为 CSS 预测因子的作用。通过 Harrell 的 C 检验评估 COBRA 评分的准确性。

结果和局限性

中位年龄为 66 岁(IQR 58/73)。总体而言,在中位随访 48 个月(IQR 22/92)期间,642 例患者(27%)死于膀胱癌。在 Cox 比例风险分析中,COBRA 评分是 CSS 的显著预测因子(HR 1.54,95%CI 1.47-1.61)(表 1)。COBRA 评分的预测准确性为 0.71。包括合并 COBRA 评分(0 与 1-3 与 4-7)的亚分析提高了临床适用性,且准确性相同。

结论

根据我们的经验,COBRA 评分是预测癌症特异性生存的优秀工具。COBRA 评分是一种实用且易于使用的工具,可帮助泌尿科医生对接受根治性膀胱切除术的患者的 CSS 进行分类,预测肿瘤学结果,最终为膀胱癌患者提供咨询。

相似文献

1
Validation of the COBRA nomogram for the prediction of cancer specific survival in patients treated with radical cystectomy for bladder cancer: An international wide cohort study.COBRA 列线图预测膀胱癌根治性切除术患者癌症特异性生存的验证:一项国际广泛队列研究。
Eur J Surg Oncol. 2021 Oct;47(10):2646-2650. doi: 10.1016/j.ejso.2021.04.035. Epub 2021 Apr 30.
2
The Cancer of the Bladder Risk Assessment (COBRA) score for predicting cancer-specific survival after radical cystectomy for urothelial carcinoma of the bladder: External validation in a cohort of Korean patients.膀胱癌风险评估(COBRA)评分预测膀胱癌根治性膀胱切除术后癌症特异性生存:韩国患者队列的外部验证。
Urol Oncol. 2019 Jul;37(7):470-477. doi: 10.1016/j.urolonc.2019.03.006. Epub 2019 Mar 29.
3
Development of a Pocket Nomogram to Predict Cancer and Disease Specific Survival After Radical Cystectomy For Bladder Cancer: The CRAB Nomogram.用于预测膀胱癌根治性膀胱切除术后癌症及疾病特异性生存率的袖珍列线图的开发:CRAB列线图
Clin Genitourin Cancer. 2023 Feb;21(1):108-114. doi: 10.1016/j.clgc.2022.08.011. Epub 2022 Sep 6.
4
The Cancer of the Bladder Risk Assessment (COBRA) score for estimating cancer-specific survival after radical cystectomy: external validation in a large bi-institutional cohort.膀胱癌风险评估(COBRA)评分用于估计根治性膀胱切除术后的癌症特异性生存:大型双机构队列的外部验证。
BJU Int. 2020 Dec;126(6):704-714. doi: 10.1111/bju.15163. Epub 2020 Aug 12.
5
The Cancer of the Bladder Risk Assessment (COBRA) score accurately predicts cancer-specific survival after radical cystectomy: external validation and lymphovascular invasion assessment value to improve its performance.膀胱癌风险评估(COBRA)评分可准确预测根治性膀胱切除术后的癌症特异性生存率:外部验证及评估淋巴管侵犯对改善其性能的价值。
Clin Genitourin Cancer. 2022 Jun;20(3):199-209. doi: 10.1016/j.clgc.2021.12.010. Epub 2021 Dec 16.
6
The Cancer of the Bladder Risk Assessment (COBRA) score: Estimating mortality after radical cystectomy.膀胱癌风险评估(COBRA)评分:评估根治性膀胱切除术后的死亡率。
Cancer. 2017 Dec 1;123(23):4574-4582. doi: 10.1002/cncr.30918. Epub 2017 Sep 7.
7
External validation of preoperative and postoperative nomograms for prediction of cancer-specific survival, overall survival and recurrence after robot-assisted radical cystectomy for urothelial carcinoma of the bladder.用于预测膀胱癌尿路上皮癌机器人辅助根治性膀胱切除术后癌症特异性生存率、总生存率和复发率的术前和术后列线图的外部验证
BJU Int. 2014 Aug;114(2):253-60. doi: 10.1111/bju.12484. Epub 2014 Jan 22.
8
Evaluation of the Cancer of Bladder Risk Assessment (COBRA) Score in the Cancer Genome Atlas (TCGA) Bladder Cancer Cohort.癌症基因组图谱(TCGA)膀胱癌队列中膀胱癌风险评估(COBRA)评分的评估
Urology. 2021 Oct;156:104-109. doi: 10.1016/j.urology.2021.04.047. Epub 2021 Jun 10.
9
Prediction of cancer-specific survival after radical cystectomy in pT4a urothelial carcinoma of the bladder: development of a tool for clinical decision-making.pT4a期膀胱尿路上皮癌根治性膀胱切除术后癌症特异性生存的预测:一种临床决策工具的开发
BJU Int. 2016 Feb;117(2):272-9. doi: 10.1111/bju.12984. Epub 2015 May 24.
10
Conditional survival after radical cystectomy for bladder cancer: evidence for a patient changing risk profile over time.膀胱癌根治性切除术的条件生存:随时间变化的患者风险特征证据。
Eur Urol. 2014 Aug;66(2):361-70. doi: 10.1016/j.eururo.2013.09.050. Epub 2013 Oct 9.

引用本文的文献

1
Using machine learning for predicting cancer-specific mortality in bladder cancer patients undergoing radical cystectomy: a SEER-based study.使用机器学习预测接受根治性膀胱切除术的膀胱癌患者的癌症特异性死亡率:一项基于监测、流行病学和最终结果(SEER)数据库的研究
BMC Cancer. 2025 Mar 21;25(1):523. doi: 10.1186/s12885-025-13942-2.
2
A Semi-Supervised Multi-Region Segmentation Framework of Bladder Wall and Tumor with Wall-Enhanced Self-Supervised Pre-Training.一种具有壁增强自监督预训练的膀胱壁和肿瘤半监督多区域分割框架
Bioengineering (Basel). 2024 Dec 4;11(12):1225. doi: 10.3390/bioengineering11121225.
3
Identification of potential DNA methylation biomarkers related to diagnosis in patients with bladder cancer through integrated bioinformatic analysis.
通过综合生物信息学分析鉴定膀胱癌患者诊断相关的潜在 DNA 甲基化生物标志物。
BMC Urol. 2023 Aug 10;23(1):135. doi: 10.1186/s12894-023-01307-5.
4
Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy.预处理血浆样本的表面增强拉曼光谱预测接受新辅助化疗和根治性膀胱切除术的肌层浸润性膀胱癌患者的疾病复发。
Int J Nanomedicine. 2022 Apr 5;17:1635-1646. doi: 10.2147/IJN.S354590. eCollection 2022.