Association between tumor necrosis factor-α and chronic obstructive pulmonary disease: a systematic review and meta-analysis

医学 慢性阻塞性肺病 荟萃分析 内科学 肿瘤坏死因子α 置信区间 肺病 子群分析 严格标准化平均差 肿瘤坏死因子α 到期 疾病 胃肠病学 呼吸系统
作者
Yang Yao,Jing Zhou,Xin Diao,Shengyu Wang
出处
期刊:Therapeutic Advances in Respiratory Disease [SAGE]
卷期号:13 被引量:57
标识
DOI:10.1177/1753466619866096
摘要

Background: Patients diagnosed with chronic obstructive pulmonary disease (COPD) have increased risks for a series of physical and mental illnesses. Tumor necrosis factor-α (TNF-α) has been reported to participate in the development of COPD and its complications. However, the values of blood TNF-α level used in the diagnosis of COPD remains controversial. In view of this, we performed a systematic review and meta-analysis to evaluate the correlation between TNF-α level and COPD. Methods: We searched PubMed, Web of Science, Embase and CNKI up to May 2018. The selection criteria were set according to the PICOS framework. A random-effects model was then applied to evaluate the overall effect sizes by calculating standard mean difference (SMD) and its 95% confidence intervals (CIs). Results: A total of 40 articles containing 4189 COPD patients and 1676 healthy controls were included in this meta-analysis. The results indicated a significant increase in TNF-α level in the COPD group compared with the control group (SMD: 1.24, 95% CI: 0.78–1.71, p < 0.00001). According to the subgroup analyses, we noted that TNF-α level was associated with predicted first second of forced expiration (FEV 1 ) (%) and study region. However, no association between TNF-α level and COPD was found when the participants were nonsmokers, and the mean age was less than 60 years. Conclusions: Our results indicated that TNF-α level was increased in COPD patients when compared with healthy controls. Illness progression and a diagnosis of COPD might contribute to higher TNF-α levels. However, the underlying mechanism still remains unknown and needs further investigation. The reviews of this paper are available via the supplemental material section.

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
Mia完成签到 ,获得积分10
1秒前
粒粒完成签到,获得积分10
2秒前
旺旺完成签到,获得积分10
4秒前
JamesPei应助xiaobai123456采纳,获得10
5秒前
5秒前
衢夭完成签到,获得积分10
6秒前
byby完成签到,获得积分10
7秒前
shitzu完成签到 ,获得积分10
8秒前
量子星尘发布了新的文献求助10
9秒前
小一完成签到,获得积分10
9秒前
gzmejiji完成签到,获得积分10
11秒前
fxy完成签到 ,获得积分10
12秒前
等待的白容完成签到,获得积分10
13秒前
诸葛烤鸭完成签到,获得积分10
13秒前
严xixi完成签到 ,获得积分10
13秒前
1762120完成签到,获得积分10
14秒前
典雅的纸飞机完成签到 ,获得积分10
14秒前
keaitiancaiben完成签到,获得积分20
14秒前
free完成签到,获得积分10
15秒前
LLddww完成签到,获得积分10
15秒前
天神完成签到,获得积分10
15秒前
衔尾蛇发布了新的文献求助10
15秒前
完美世界应助等待的白容采纳,获得10
17秒前
17秒前
轻松豁完成签到 ,获得积分10
17秒前
xin发布了新的文献求助10
18秒前
fdpb完成签到,获得积分10
18秒前
wwwcom12完成签到 ,获得积分10
20秒前
泠漓完成签到 ,获得积分10
20秒前
量子星尘发布了新的文献求助10
21秒前
luming完成签到 ,获得积分10
21秒前
研友_Z60ObL完成签到,获得积分10
22秒前
yier完成签到,获得积分10
23秒前
yoyo完成签到 ,获得积分10
24秒前
璃月品茶钟离完成签到,获得积分10
25秒前
炙热的笑翠完成签到,获得积分10
27秒前
wensri完成签到,获得积分10
27秒前
眼睛大的芹菜完成签到 ,获得积分10
27秒前
邢邢完成签到,获得积分10
27秒前
多边棱发布了新的文献求助10
28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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6051406
求助须知:如何正确求助?哪些是违规求助? 7860047
关于积分的说明 16267875
捐赠科研通 5196415
什么是DOI,文献DOI怎么找? 2780623
邀请新用户注册赠送积分活动 1763572
关于科研通互助平台的介绍 1645613