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
3秒前
4秒前
4秒前
喜羊羊发布了新的文献求助10
5秒前
yyc完成签到,获得积分10
6秒前
科目三应助标致的续采纳,获得10
6秒前
量子星尘发布了新的文献求助10
7秒前
7秒前
张逸晨发布了新的文献求助10
9秒前
Una发布了新的文献求助10
9秒前
10秒前
10秒前
肉鸡完成签到,获得积分10
10秒前
迷路的迎南完成签到,获得积分10
11秒前
轻抚女高脸颊完成签到,获得积分10
11秒前
哈哈哈发布了新的文献求助20
12秒前
13秒前
yyc发布了新的文献求助10
13秒前
14秒前
袁睿韬发布了新的文献求助10
14秒前
ding应助爱学习的慕采纳,获得10
15秒前
泥丸不丸发布了新的文献求助10
15秒前
15秒前
芸芸发布了新的文献求助10
17秒前
我是老大应助djbj2022采纳,获得20
18秒前
Bellamie发布了新的文献求助30
18秒前
科目三应助TATA采纳,获得10
19秒前
19秒前
慕青应助康康采纳,获得10
19秒前
小马甲应助无情白羊采纳,获得10
20秒前
20秒前
123完成签到,获得积分10
20秒前
21秒前
22秒前
xiaxia发布了新的文献求助10
22秒前
杨华启应助慕沐采纳,获得10
23秒前
感性的梦露完成签到,获得积分10
23秒前
狮子沟核聚变骡子完成签到 ,获得积分10
25秒前
25秒前
解寄灵发布了新的文献求助10
25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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Terrorism and Power in Russia: The Empire of (In)security and the Remaking of Politics 1000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
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 6044918
求助须知:如何正确求助?哪些是违规求助? 7814182
关于积分的说明 16246605
捐赠科研通 5190603
什么是DOI,文献DOI怎么找? 2777460
邀请新用户注册赠送积分活动 1760669
关于科研通互助平台的介绍 1643815