A Combination of Preoperative Computed Tomography-Defined Sarcopenia and Systemic Inflammation on Survival in Patients with Poorly Differentiated Neuroendocrine Neoplasms Following Radical Resection

肌萎缩 医学 全身炎症 胃肠病学 神经内分泌肿瘤 内科学 回顾性队列研究 体质指数 多元分析 炎症
作者
Jie Jia,Xiangyu Zeng,Chengguo Li,Lei Yang,Yongzhou Huang,Xin Tong,Qi Jiang,Shouxin Zhang,Kaixiong Tao
出处
期刊:Nutrition and Cancer [Routledge]
卷期号:75 (1): 186-196 被引量:1
标识
DOI:10.1080/01635581.2022.2102660
摘要

This retrospective study of 122 patients with gastrointestinal poorly differentiated neuroendocrine neoplasms (GI-PDNEN) who underwent radical resection between January 2010 and December 2020 aimed to investigate the usefulness of combined computed tomography (CT)-defined sarcopenia and systemic inflammation to evaluate long-term prognoses for patients who underwent radical surgical resection. Sarcopenia, based on a pre-defined L3 skeletal muscle index cutoff value, was assessed using preoperative abdominal CT images. Patients (neuroendocrine carcinoma, 86 patients; mixed adenoneuroendocrine carcinoma, 36 patients) were divided into low-, intermediate-, and high-risk groups using sarcopenia scores and neutrophil-to-lymphocyte ratios (SNLRs). Higher SNLRs were significantly associated with higher age (P = 0.004), larger tumor size (P = 0.042), lower body mass index (P = 0.042), and lower hemoglobin (P = 0.001) and albumin (P = 0.031) levels. Multivariate analysis indicated that a higher SNLR was an independent risk factor for poor overall survival (OS, P = 0.01) and relapse-free survival (RFS, P = 0.001) in patients with GI-PDNEN postoperatively. Sarcopenia and a higher NLR were significantly associated with poor RFS and OS following radical resection. The SNLR had a definite predictive prognostic value in preoperatively identifying patients with GI-PDNEN and a probable poor long-term prognosis, especially those with neuroendocrine carcinoma.

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
脑洞疼应助南极以南采纳,获得10
刚刚
科研通AI6.2应助南极以南采纳,获得10
刚刚
刚刚
科研通AI6.4应助南极以南采纳,获得10
刚刚
白路完成签到,获得积分10
1秒前
1秒前
漂亮忆秋关注了科研通微信公众号
2秒前
2秒前
星辰大海应助许衍举采纳,获得10
2秒前
情怀应助lys采纳,获得10
2秒前
何香香能吃苦完成签到,获得积分10
2秒前
3秒前
lirongcas发布了新的文献求助10
3秒前
3秒前
谦让丹翠发布了新的文献求助10
4秒前
4秒前
4秒前
5秒前
Young完成签到,获得积分10
5秒前
nooraa发布了新的文献求助10
5秒前
lujiajia完成签到,获得积分10
6秒前
7秒前
科研通AI6.2应助ykmykm采纳,获得10
7秒前
傅凯完成签到,获得积分10
7秒前
7秒前
8秒前
就离谱完成签到,获得积分10
8秒前
8秒前
8秒前
8秒前
9秒前
老板再来一碗完成签到,获得积分10
9秒前
9秒前
9秒前
10秒前
10秒前
1222完成签到,获得积分20
10秒前
YT发布了新的文献求助10
10秒前
88heiyo发布了新的文献求助10
10秒前
11秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 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 6488338
求助须知:如何正确求助?哪些是违规求助? 8286753
关于积分的说明 17677806
捐赠科研通 5577731
什么是DOI,文献DOI怎么找? 2913996
邀请新用户注册赠送积分活动 1891000
关于科研通互助平台的介绍 1748517