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
511发布了新的文献求助10
1秒前
gzhoax发布了新的文献求助10
2秒前
刘的花发布了新的文献求助10
2秒前
Owen应助wen采纳,获得30
2秒前
852应助康康采纳,获得10
2秒前
3秒前
3秒前
不安乐菱发布了新的文献求助10
3秒前
求助人员发布了新的文献求助10
3秒前
桐桐应助忧心的曼凝采纳,获得10
3秒前
米花发布了新的文献求助10
4秒前
4秒前
yuuu完成签到 ,获得积分10
5秒前
hhh完成签到,获得积分20
5秒前
Owen应助鸡柳先知采纳,获得10
5秒前
5秒前
山药汤完成签到,获得积分10
6秒前
李健应助大头头很大采纳,获得10
6秒前
JamesPei应助杞人采纳,获得10
6秒前
6秒前
科研通AI6.2应助冰冷的心采纳,获得10
6秒前
6秒前
7秒前
动听以晴发布了新的文献求助30
8秒前
微微完成签到,获得积分10
8秒前
Devil应助BLUEEEE采纳,获得10
8秒前
8秒前
万能图书馆应助LL采纳,获得10
9秒前
Wyf发布了新的文献求助10
9秒前
tolman发布了新的文献求助10
9秒前
9秒前
充电宝应助hhh采纳,获得10
10秒前
10秒前
ssss完成签到,获得积分10
10秒前
10秒前
QYPANG发布了新的文献求助10
10秒前
10秒前
所所应助Monik采纳,获得10
11秒前
Lizhenhua完成签到,获得积分10
11秒前
十三发布了新的文献求助10
11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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6017601
求助须知:如何正确求助?哪些是违规求助? 7603311
关于积分的说明 16156651
捐赠科研通 5165401
什么是DOI,文献DOI怎么找? 2764881
邀请新用户注册赠送积分活动 1746262
关于科研通互助平台的介绍 1635210