清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Prognostic Power of Nutrition-Inflammation Indicators in Patients With Breast Cancer

医学 乳腺癌 内科学 肿瘤科 癌症 炎症
作者
Xiaowei Zhang,Yi‐Zhong Ge,Mengmeng Song,Guo‐Tian Ruan,Hailun Xie,Chunlei Hu,Hanping Shi
出处
期刊:Clinical Breast Cancer [Elsevier BV]
卷期号:23 (5): e312-e321 被引量:6
标识
DOI:10.1016/j.clbc.2023.04.009
摘要

Inflammation and nutritional statuses are closely related to the survival of patients with cancer. Breast cancer is the one with low level of inflammation and low risk of malnutrition. Does inflammation burden and nutrition status affect the prognosis of patients with breast cancer?Totally 1158 patients with breast cancer from Nutrition Status and its Clinical Outcome of Common Cancers study were included, 15 nutrition-inflammation indicators (NIIs) from literatures were adopted in this study. Area under the curve and C-index were used to compare the predictive value of 15 NIIs in overall patients and subgroup in different menstrual statuses.Nutrition status indicators prognostic nutritional index, controlling nutritional status score, glucose-to-lymphocyte ratio among 15 NIIs were found to be significantly associated with prognosis of breast cancer, and remained stable in patients in different menstrual statuses. The C-index of inflammation indicators lymphocyte-to-C-reactive protein ratio, lymphocyte-C-reactive protein ratio score, and C-reaction protein (CRP) increased with age, but the predictive value of 3 inflammation indicators did not exceed the value of nutritional indicators throughout the whole life of patients with breast cancer.Prognostic nutritional index, controlling nutritional status score, glucose-to-lymphocyte ratio had better predictive value for the survival of patients with breast cancer. Nutritional indicators surpassed inflammation indicators in prognostic ability for patients in different menstrual statuses. These results provide an important insight for the care of patients with breast cancer.
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
科目三应助李振聪采纳,获得10
2秒前
24秒前
25秒前
李振聪发布了新的文献求助10
28秒前
自然亦凝完成签到,获得积分10
29秒前
tyui发布了新的文献求助10
31秒前
糊涂的青烟完成签到 ,获得积分10
36秒前
小蘑菇应助李振聪采纳,获得10
36秒前
研友_VZG7GZ应助李振聪采纳,获得10
36秒前
顾矜应助李振聪采纳,获得10
36秒前
Lucas应助李振聪采纳,获得10
36秒前
ding应助李振聪采纳,获得10
36秒前
36秒前
香蕉觅云应助李振聪采纳,获得30
36秒前
华仔应助李振聪采纳,获得10
36秒前
脑洞疼应助李振聪采纳,获得200
36秒前
斯文败类应助tyui采纳,获得10
41秒前
44秒前
51秒前
科研通AI6.1应助zhangsenbing采纳,获得10
53秒前
54秒前
李振聪发布了新的文献求助200
1分钟前
1分钟前
李振聪发布了新的文献求助10
1分钟前
十八完成签到 ,获得积分10
1分钟前
菲菲完成签到 ,获得积分10
1分钟前
李振聪发布了新的文献求助10
1分钟前
Jasper应助Axel采纳,获得10
1分钟前
隐形曼青应助李振聪采纳,获得10
2分钟前
2分钟前
李振聪发布了新的文献求助10
2分钟前
YifanWang完成签到,获得积分0
2分钟前
balko完成签到,获得积分10
2分钟前
李振聪发布了新的文献求助30
2分钟前
2分钟前
李振聪发布了新的文献求助30
2分钟前
2分钟前
李振聪发布了新的文献求助10
2分钟前
2分钟前
2分钟前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348282
求助须知:如何正确求助?哪些是违规求助? 8163374
关于积分的说明 17172986
捐赠科研通 5404698
什么是DOI,文献DOI怎么找? 2861773
邀请新用户注册赠送积分活动 1839573
关于科研通互助平台的介绍 1688896