Neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, and platelet-lymphocyte ratio in stroke-associated pneumonia: a systematic review and meta-analysis

医学 荟萃分析 子群分析 内科学 淋巴细胞 置信区间 冲程(发动机) 样本量测定 危险系数 严格标准化平均差 数学 机械工程 统计 工程类
作者
Mohammed Zawiah,Amer Hayat Khan,Rana Abu Farha,Usman Abubakar,Ahmad Naoras Bitar
出处
期刊:Current Medical Research and Opinion [Taylor & Francis]
卷期号:39 (3): 475-482 被引量:26
标识
DOI:10.1080/03007995.2023.2174327
摘要

BACKGROUND: Predicting stroke-associated pneumonia (SAP) is crucial for intensifying preventive measures and decreasing morbidity and mortality. This meta-analysis aims to evaluate the association between baseline neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR) with SAP and to determine the strength of the association. METHODS: The Web of Science, SCOPUS, and PUBMED databases were searched to find eligible studies. The standardized mean difference (SMD) and 95% confidence interval (CI) were used to evaluate the differences in NLR, MLR, and PLR levels between SAP and non-SAP patients. The meta-analysis was conducted using the software "Review Manager" (RevMan, version 5.4.1, September 2020). The random-effect model was used for the pooling analysis if there was substantial heterogeneity. Otherwise, the fixed-effect model was adopted. RESULTS: for them were respectively reported as (0.88, 0.70-1.07, .00001, 77%); (0.94, 0.43-1.46, .0003, 93%); and (0.61, 0.47-0.75, .001, 0%). Subgroup analysis of NLR studies showed no significant differences in the effect size index between the severity of the stroke, the sample size, and the period between the stroke onset and the blood sampling. CONCLUSION: This systematic review and meta-analysis suggest that an elevated NLR, MLR, and PLR were associated with SAP, indicating that they could be promising blood-based biomarkers for predicting SAP. Large-scale prospective studies from various ethnicities are recommended to validate this association before they can be applied in clinical practice.
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
1秒前
穆振家发布了新的文献求助10
1秒前
hansaly完成签到,获得积分10
2秒前
2秒前
灰太狼大王完成签到,获得积分10
3秒前
xuan发布了新的文献求助10
5秒前
up发布了新的文献求助10
5秒前
刘白发布了新的文献求助10
5秒前
Ryne完成签到 ,获得积分10
5秒前
Kojiro发布了新的文献求助10
5秒前
SciGPT应助aj'采纳,获得10
5秒前
6秒前
穆振家完成签到,获得积分10
6秒前
6秒前
6秒前
赘婿应助负责的归尘采纳,获得10
7秒前
Fun完成签到,获得积分10
8秒前
8秒前
风趣思山发布了新的文献求助10
9秒前
FashionBoy应助Cecilia采纳,获得10
9秒前
9秒前
Hedy完成签到,获得积分10
9秒前
领导范儿应助叶子采纳,获得10
9秒前
斯文败类应助zhangdabiao采纳,获得10
10秒前
jgg发布了新的文献求助10
10秒前
yunxiao完成签到,获得积分10
10秒前
古德发布了新的文献求助10
10秒前
11秒前
哔噗哔噗完成签到 ,获得积分10
11秒前
11秒前
小乔发布了新的文献求助10
11秒前
sin30cos60发布了新的文献求助10
11秒前
Tsuki发布了新的文献求助80
11秒前
Fun发布了新的文献求助10
12秒前
孤独的溪灵完成签到,获得积分10
12秒前
13秒前
杨柳依依完成签到,获得积分10
13秒前
微凉发布了新的文献求助10
13秒前
凉城予梦发布了新的文献求助10
13秒前
伯颜丽发布了新的文献求助10
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 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 7582814
求助须知:如何正确求助?哪些是违规求助? 9161698
关于积分的说明 19604367
捐赠科研通 7164974
什么是DOI,文献DOI怎么找? 3266192
关于科研通互助平台的介绍 2431125
邀请新用户注册赠送积分活动 2257468