Postoperative Nomogram Predicting Risk of Recurrence After Radical Cystectomy for Bladder Cancer

膀胱切除术 列线图 医学 膀胱癌 一致性 泌尿科 淋巴结切除术 淋巴结 阶段(地层学) 癌症 肿瘤科 外科 内科学 古生物学 生物
作者
Bernard H. Bochner,Michael W. Kattan,Kinjal Vora
出处
期刊:Journal of Clinical Oncology [American Society of Clinical Oncology]
卷期号:24 (24): 3967-3972 被引量:441
标识
DOI:10.1200/jco.2005.05.3884
摘要

Radical cystectomy and pelvic lymphadenectomy (PLND) remains the standard treatment for localized and regionally advanced invasive bladder cancers. We have constructed an international bladder cancer database from centers of excellence in the management of bladder cancer consisting of patients treated with radical cystectomy and PLND. The goal of this study was the development of a prognostic outcomes nomogram to predict the 5-year disease recurrence risk after radical cystectomy.Institutional radical cystectomy databases containing detailed information on bladder cancer patients were obtained from 12 centers of excellence worldwide. Data were collected on more than 9,000 postoperative patients and combined into a relational database formatted with patient characteristics, pathologic details of the pre- and postcystectomy specimens, and recurrence and survival status. Patients with available information for all selected study criteria were included in the formation of the final prognostic nomogram designed to predict 5-year progression-free probability.The final nomogram included information on patient age, sex, time from diagnosis to surgery, pathologic tumor stage and grade, tumor histologic subtype, and regional lymph node status. The predictive accuracy of the constructed international nomogram (concordance index, 0.75) was significantly better than standard American Joint Committee on Cancer TNM (concordance index, 0.68; P < .001) or standard pathologic subgroupings (concordance index, 0.62; P < .001).We have developed an international bladder cancer nomogram predicting recurrence risk after radical cystectomy for bladder cancer. The nomogram outperformed prognostic models that use standard pathologic subgroupings and should improve our ability to provide accurate risk assessments to patients after the surgical management of bladder cancer.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
iNk应助何处1惹尘埃采纳,获得10
刚刚
yaya完成签到,获得积分10
1秒前
2秒前
观潮应助贝狗采纳,获得10
2秒前
123完成签到,获得积分10
4秒前
mengshang完成签到,获得积分10
6秒前
6秒前
陈槊诸完成签到 ,获得积分10
7秒前
我是老大应助专注之槐采纳,获得10
7秒前
mitchell_li完成签到,获得积分10
7秒前
酷酷的麦片完成签到 ,获得积分10
8秒前
8秒前
怡然可乐发布了新的文献求助10
8秒前
9秒前
英姑应助开放的秋玲采纳,获得10
9秒前
量子星尘发布了新的文献求助10
10秒前
achilles发布了新的文献求助10
10秒前
ZSS完成签到,获得积分10
10秒前
慕青应助大酋长采纳,获得10
10秒前
yk完成签到 ,获得积分20
10秒前
我爱三合一完成签到,获得积分10
11秒前
二十三点一完成签到,获得积分10
11秒前
勤恳的若风完成签到,获得积分10
11秒前
量子星尘发布了新的文献求助10
12秒前
12秒前
13秒前
14秒前
小夕发布了新的文献求助10
14秒前
yangyanDai完成签到,获得积分20
15秒前
manny完成签到,获得积分10
16秒前
拉布拉卡发布了新的文献求助10
16秒前
随风关注了科研通微信公众号
17秒前
weihe完成签到,获得积分10
18秒前
19秒前
19秒前
酷波er应助凛冬采纳,获得10
21秒前
doc.level发布了新的文献求助20
21秒前
21秒前
霸气的保温杯完成签到,获得积分10
22秒前
zhutae完成签到,获得积分10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5708708
求助须知:如何正确求助?哪些是违规求助? 5189605
关于积分的说明 15254774
捐赠科研通 4861613
什么是DOI,文献DOI怎么找? 2609558
邀请新用户注册赠送积分活动 1560101
关于科研通互助平台的介绍 1517823