亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Nomograms for Predicting Overall and Cancer-Specific Survival Among Second Primary Endometrial Cancer in Primary Colorectal Carcinoma Patients

列线图 医学 子宫内膜癌 肿瘤科 内科学 结直肠癌 接收机工作特性 一致性 癌症 临床终点 临床试验
作者
Linli Liu
出处
期刊:Risk Management and Healthcare Policy [Dove Medical Press]
卷期号:Volume 17: 2959-2970
标识
DOI:10.2147/rmhp.s481880
摘要

Background: Endometrial cancer (EC) is one of the most frequent gynecologic cancers, approximately 20% of patients are regarded as high-risk with poor prognosis. However, more details of patients with second primary endometrial cancer (SPEC) after colorectal cancer (CRC) remain poorly understood. We therefore proposed to construct two nomograms to predict 3- and 5-year overall survival (OS) and cancer-specific survival (CSS) rates to facilitate clinical application. Methods: A total of 1631 participants were identified in the SEER database from 1973 to 2020. We constructed and validated the nomograms for predicting OS and CSS. The receiver operating characteristic curves, calibration plot, decision curve analysis, C-index, net reclassification improvement, and integrated discrimination improvement were applied to evaluate the predictive performance. Finally, the Prognostic index was calculated and used for risk stratification of Kaplan-Meier survival analysis based on different treatment options. Results: Nomograms of OS and CSS were formulated based on the independent prognostic factors utilizing the training set. The 3- and 5- years of OS nomogram demonstrated good discrimination (AUC = 0.840 and 0.829, respectively), well-calibrated power, and excellent clinical effectiveness. Our nomograms of predicting OS and CSS had a concordance index of 0.801 and 0.866 compared with 0.676 and 0.746 for the AJCC staging system, and more importantly, demonstrated a better forecast accuracy. Chemoradiotherapy displayed a significant survival benefit in the high-risk groups, but proceeding to surgery plus chemotherapy showed a favorable survival for the low groups based on all patients. Conclusion: We developed and internally validated multivariable models that predict OS and CSS risk of SPEC in patients with a CRC to help clinicians make applicable clinical decisions for patients. Keywords: endometrial neoplasms, colorectal carcinoma, nomogram, overall survival, cancer-specific survival

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
4秒前
5秒前
6秒前
酷炫茗茗完成签到,获得积分20
6秒前
七街完成签到 ,获得积分10
7秒前
bukeshuo发布了新的文献求助10
12秒前
zz关注了科研通微信公众号
15秒前
stresm完成签到,获得积分10
19秒前
samsahpiyaz发布了新的文献求助10
20秒前
AprilLeung完成签到 ,获得积分10
20秒前
21秒前
22秒前
Kashing发布了新的文献求助10
27秒前
顾矜应助bukeshuo采纳,获得10
27秒前
追风发布了新的文献求助10
28秒前
发士大夫完成签到 ,获得积分10
31秒前
Kashing完成签到,获得积分10
32秒前
32秒前
痞老板死磕蟹黄堡完成签到 ,获得积分10
33秒前
zz发布了新的文献求助10
33秒前
热爱科研的小白鼠完成签到,获得积分10
35秒前
jmy完成签到,获得积分10
35秒前
jmy发布了新的文献求助10
39秒前
yuqinghui98完成签到 ,获得积分10
40秒前
40秒前
41秒前
丘比特应助科研通管家采纳,获得10
41秒前
BowieHuang应助科研通管家采纳,获得10
41秒前
43秒前
科研启动完成签到,获得积分10
44秒前
47秒前
酷炫茗茗发布了新的文献求助10
48秒前
49秒前
小夏完成签到 ,获得积分0
49秒前
bukeshuo发布了新的文献求助10
51秒前
识字岭的岭应助jmy采纳,获得10
51秒前
上官若男应助炙热的灵薇采纳,获得10
51秒前
CipherSage应助爱在西元前采纳,获得10
58秒前
SciGPT应助yyyyyz采纳,获得10
1分钟前
Yahaha发布了新的文献求助10
1分钟前
高分求助中
Entre Praga y Madrid: los contactos checoslovaco-españoles (1948-1977) 1000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Horngren's Cost Accounting A Managerial Emphasis 17th edition 600
Tactics in Contemporary Drug Design 500
Russian Politics Today: Stability and Fragility (2nd Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6086395
求助须知:如何正确求助?哪些是违规求助? 7916117
关于积分的说明 16376798
捐赠科研通 5219997
什么是DOI,文献DOI怎么找? 2790787
邀请新用户注册赠送积分活动 1773960
关于科研通互助平台的介绍 1649615