A prognostic nomogram based on a new classification of combined micropapillary and solid components for stage IA invasive lung adenocarcinoma

列线图 医学 比例危险模型 阶段(地层学) 腺癌 病态的 肿瘤科 多元分析 内科学 多元统计 生存分析 放射科 癌症 统计 古生物学 生物 数学
作者
Wuhao Huang,Hua Zhang,Zhiwei Zhang,Bin Zhang,Xiaoyan Sun,Huo Y,Yingnan Feng,Pengfei Tian,Huilan Mo,Changli Wang
出处
期刊:Journal of Surgical Oncology [Wiley]
卷期号:125 (4): 796-808 被引量:10
标识
DOI:10.1002/jso.26760
摘要

We aimed to develop a prognostic nomogram based on a new classification of combined micropapillary and solid components in pathological stage IA invasive lung adenocarcinoma (LUAD).According to the total proportion of solid and micropapillary components (TPSM), the X-tile software was applied to classify patients into the following three groups: TPSM-low (TPSM-L), TPSM-middle (TPSM-M), and TPSM-high (TPSM-H). The postoperative survival was compared among the three groups. The multivariate Cox regression analysis was performed to identify independent prognostic factors for survival. According to these factors, a nomogram model was developed to provide a personalized prognostic evaluation.A total of 595 patients with pathological stage IA invasive LUAD were included in our study. The 5-year disease-free survival and overall survival rates in patients with TPSM-H and TPSM-M were significantly lower than those with TPSM-L. The multivariate Cox regression analysis revealed that the TPSM classification was an independent prognostic factor for survival. According to TPSM classification, we developed a nomogram model which had good calibration and reliable discrimination ability to evaluate survival.The nomogram based on the combination of micropapillary and solid components has good prognostic value in predicting postoperative recurrence and survival of patients with pathological stage IA invasive LUAD.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
搜集达人应助flylmy2008采纳,获得10
1秒前
SOLOMON应助ark861023采纳,获得10
2秒前
shuanglin发布了新的文献求助10
3秒前
充电宝应助Aoopiy采纳,获得10
7秒前
若也完成签到,获得积分10
8秒前
小马甲应助典雅的萤采纳,获得10
10秒前
shuanglin发布了新的文献求助10
10秒前
慕青应助研友_剑来粉采纳,获得10
12秒前
13秒前
共享精神应助flylmy2008采纳,获得10
16秒前
16秒前
18秒前
18秒前
18秒前
19秒前
lqg发布了新的文献求助10
19秒前
寻道图强应助小蓝蓝鱼采纳,获得20
20秒前
22秒前
22秒前
whale完成签到,获得积分10
23秒前
23秒前
典雅的萤发布了新的文献求助10
24秒前
今后应助nadeem采纳,获得10
26秒前
27秒前
Wone3完成签到 ,获得积分10
27秒前
田様应助daihq3采纳,获得10
28秒前
赘婿应助xuan采纳,获得10
29秒前
小二郎应助haihe采纳,获得10
29秒前
彭于晏应助sisi采纳,获得10
30秒前
seeyou14发布了新的文献求助10
30秒前
30秒前
纳斯达克发布了新的文献求助10
31秒前
32秒前
baidu1024完成签到,获得积分10
34秒前
fff完成签到 ,获得积分10
36秒前
37秒前
37秒前
顺心白翠完成签到,获得积分10
38秒前
JamesPei应助旅途之人采纳,获得10
39秒前
40秒前
高分求助中
The three stars each : the Astrolabes and related texts 1070
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Sport in der Antike 800
Aspect and Predication: The Semantics of Argument Structure 666
De arte gymnastica. The art of gymnastics 600
少脉山油柑叶的化学成分研究 530
Berns Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 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 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2410309
求助须知:如何正确求助?哪些是违规求助? 2105829
关于积分的说明 5320082
捐赠科研通 1833323
什么是DOI,文献DOI怎么找? 913570
版权声明 560825
科研通“疑难数据库(出版商)”最低求助积分说明 488493