Prognostic Nomograms for Prediction of Recurrence and Survival After Curative Liver Resection for Hepatocellular Carcinoma

列线图 医学 接收机工作特性 肝细胞癌 比例危险模型 阶段(地层学) 多元分析 病态的 内科学 回顾性队列研究 多元统计 肿瘤科 外科 统计 生物 古生物学 数学
作者
Ju Hyun Shim,Mi-Jung Jun,Seungbong Han,Young Joo Lee,Sung‐Gyu Lee,Kang Mo Kim,Young‐Suk Lim,Han Chu Lee
出处
期刊:Annals of Surgery [Lippincott Williams & Wilkins]
卷期号:261 (5): 939-946 被引量:222
标识
DOI:10.1097/sla.0000000000000747
摘要

In Brief Objective: To develop clinical predictive nomograms generating per-patient numerical probabilities of postoperative recurrence-free and overall survival at specific times. Background: The prognosis after surgical resection is diverse in patients with early-stage hepatocellular carcinoma (HCC). Methods: In a retrospective review, we evaluated data from 1085 mostly early-stage patients newly diagnosed with HCC who were subsequently treated by curative resection. We randomly divided the subjects into derivation (n = 760) and validation (n = 325) samples. Multivariate Cox proportional hazards models were developed and separately validated on the basis of pre- and postoperative clinical and pathological covariates assessed for association with 2-year recurrence and 5-year HCC-specific death. The discriminatory accuracy of the models was compared with traditional tools by analyzing receiver operating characteristic curves. Results: The statistical nomograms built on the basis of sex, serum albumin, platelet count, microvascular invasion, and calculated tumor volume had good calibration and discriminatory abilities, with c-indices of 0.69 (2-year recurrence) and 0.66 (5-year survival), respectively. These models showed satisfactory goodness-of-fit and discrimination abilities in the independent validation cohort (c-index, 0.66 for 2-year recurrence; and 0.67 for 5-year survival). The areas under the receiver operating characteristic curve using our methods were greater than those of conventional staging systems in the validation patients, indicating better discriminatory capability (corresponding c-indices, 0.55–0.56; and 0.55–0.61, respectively). Conclusions: Our simple user-friendly calculators, which present graphically postsurgical prognostic models for recurrence and survival outcomes in patients with curatively resectable HCC, offer useful guidance to clinicians and patients for individually planning recurrence surveillance and adjuvant therapy. We developed new postoperative prognostic nomograms by which the individual magnitude of the potential risk of recurrence and cancer death at specific times in patients with hepatocellular carcinoma can be numerically scored. Our nomograms could be useful as adjuncts in decision making regarding postoperative management in patients undergoing curative resection for early hepatocellular carcinoma.
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
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
模拟计算0368完成签到,获得积分10
1秒前
liujia发布了新的文献求助10
1秒前
科研通AI6.4应助何东旭采纳,获得10
1秒前
1秒前
JoJo完成签到,获得积分10
2秒前
北落完成签到 ,获得积分10
2秒前
4秒前
Winnie发布了新的文献求助10
6秒前
Orange应助临河盗龙采纳,获得30
6秒前
科研通AI6.3应助BrooklynFy采纳,获得10
7秒前
不舍天真发布了新的文献求助10
7秒前
细腻淇完成签到,获得积分10
7秒前
科研通AI6.2应助茹茹采纳,获得10
8秒前
思源应助王冉采纳,获得10
9秒前
rongliy发布了新的文献求助10
9秒前
李健应助陈曦读研版采纳,获得10
10秒前
甜美山灵完成签到 ,获得积分10
10秒前
SciGPT应助袁寒烟采纳,获得10
11秒前
leilei完成签到 ,获得积分10
11秒前
12秒前
12秒前
13秒前
伊yan完成签到 ,获得积分10
13秒前
不舍天真完成签到,获得积分10
16秒前
陶醉的乐儿完成签到,获得积分20
16秒前
WWJ发布了新的文献求助10
17秒前
17秒前
细心焱完成签到,获得积分10
18秒前
rongliy完成签到,获得积分10
18秒前
隐形曼青应助灼石采纳,获得10
18秒前
19秒前
完美世界应助予以采纳,获得10
20秒前
万能图书馆应助teresa采纳,获得150
21秒前
21秒前
笨笨山芙完成签到,获得积分0
22秒前
嘁嘁淇发布了新的文献求助10
23秒前
24秒前
充实余生发布了新的文献求助30
25秒前
25秒前
JJYYY完成签到,获得积分10
27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
Organic Chemistry, 5th Edition 1000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7371196
求助须知:如何正确求助?哪些是违规求助? 8978827
关于积分的说明 19088682
捐赠科研通 7013188
什么是DOI,文献DOI怎么找? 3225034
关于科研通互助平台的介绍 2388657
邀请新用户注册赠送积分活动 2205699