Novel prognostic nomograms in cervical cancer based on analysis of 1075 patients

列线图 医学 肿瘤科 宫颈癌 内科学 癌症
作者
Qunxian Rao,Xue Han,Yuan Wei,Hui Zhou,Yajie Gong,Meimei Guan,Xiaoyan Feng,Huaiwu Lu,Qingsong Chen
出处
期刊:Cancer Medicine [Wiley]
卷期号:12 (5): 6092-6104 被引量:1
标识
DOI:10.1002/cam4.5335
摘要

Abstract Objective To explore the factors affecting the prognosis of cervical cancer (CC), and to construct and evaluate predictive nomograms to guide individualized clinical treatment. Methods The clinicopathological and follow‐up data of CC patients from June 2013 to December 2019 in Sun Yat‐sen Memorial Hospital of Sun Yat‐sen University were retrospectively analyzed. Log‐rank test was used for univariate survival analysis, and Cox multivariate regression was used to identify independent prognostic factors, based on which nomogram models were established and evaluated in multiple aspects. Results Patients were randomly assigned into the training ( n = 746) and validation sets ( n = 329). Survival analysis of the training set identified cervical myometrial invasion, parametrial involvement, and malignant tumor history as prognosticators of postoperative DFS and pathological type, cervical myometrial invasion, and history of STD for OS. C‐index was 0.799 and 0.839 for the nomograms for DFS and OS, respectively. Calibration curves and Brier scores also indicated high performance. Importantly, decision curve analysis suggested great clinical applicability of these nomograms. Conclusions In this study, we analyzed a cohort of 1075 CC patients and identified DFS‐ or OS‐associated clinicohistologic characteristics. Two nomograms were subsequently constructed for DFS and OS prognostication, respectively, and showed high performance in terms of discrimination, calibration, and clinical applicability. These models may facilitate individualized treatment and patient selection for clinical trials. Future investigations with larger cohorts and prospective designs are warranted for validating these prognostic models.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
共享精神应助LQX2141采纳,获得10
1秒前
FF完成签到 ,获得积分10
2秒前
优秀爆米花完成签到,获得积分10
3秒前
duanduan发布了新的文献求助10
3秒前
烂番茄完成签到 ,获得积分10
4秒前
追三发布了新的文献求助10
5秒前
GAO发布了新的文献求助10
5秒前
ccq发布了新的文献求助10
5秒前
0376完成签到,获得积分20
5秒前
6秒前
害羞映容发布了新的文献求助10
7秒前
8秒前
8秒前
9秒前
9秒前
Hello应助自由芷雪采纳,获得10
9秒前
悲伤西米露应助苹果笑寒采纳,获得20
9秒前
9秒前
Lucas应助wang佳俊采纳,获得10
10秒前
10秒前
Ava应助禾晏采纳,获得10
11秒前
11秒前
wxy发布了新的文献求助10
11秒前
李健应助ronll采纳,获得10
11秒前
小小橙发布了新的文献求助10
12秒前
贪玩靖荷发布了新的文献求助10
12秒前
mm发布了新的文献求助10
12秒前
12秒前
qpp完成签到,获得积分10
13秒前
13秒前
yuC发布了新的文献求助30
14秒前
蔡6705发布了新的文献求助10
14秒前
科yt发布了新的文献求助10
14秒前
深情飞丹完成签到 ,获得积分10
14秒前
iNk应助高点点采纳,获得10
15秒前
天天快乐应助Icberg采纳,获得10
15秒前
所所应助晚来天欲雪采纳,获得10
15秒前
王迪发布了新的文献求助10
17秒前
研友_nvggxZ发布了新的文献求助10
17秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3976177
求助须知:如何正确求助?哪些是违规求助? 3520366
关于积分的说明 11202745
捐赠科研通 3256847
什么是DOI,文献DOI怎么找? 1798509
邀请新用户注册赠送积分活动 877704
科研通“疑难数据库(出版商)”最低求助积分说明 806516