Quercetin for the treatment of COVID‐19 patients: A systematic review and meta‐analysis

医学 荟萃分析 随机对照试验 优势比 科克伦图书馆 置信区间 梅德林 2019年冠状病毒病(COVID-19) 重症监护室 内科学 重症监护医学 疾病 政治学 法学 传染病(医学专业)
作者
Huzaifa Ahmad Cheema,Aruba Sohail,Areej Fatima,Abia Shahid,Muhammad Shahzil,Mohammad Ebad Ur Rehman,Rehmat Ullah Awan,Sampath Chinnam,Abdulqadir J. Nashwan
出处
期刊:Reviews in Medical Virology [Wiley]
卷期号:33 (2): e2427-e2427 被引量:29
标识
DOI:10.1002/rmv.2427
摘要

Abstract Currently approved therapies for COVID‐19 are mostly limited by their low availability, high costs or the requirement of parenteral administration by trained medical personnel in an in‐hospital setting. Quercetin is a cheap and easily accessible therapeutic option for COVID‐19 patients. However, it has not been evaluated in a systematic review until now. We aimed to conduct a meta‐analysis to assess the effect of quercetin on clinical outcomes in COVID‐19 patients. Various databases including PubMed, the Cochrane Library and Embase were searched from inception until 5 October 2022 and results from six randomized controlled trials (RCTs) were pooled using a random‐effects model. All analyses were conducted using RevMan 5.4 with odds ratio (OR) as the effect measure. Quercetin decreased the risk of intensive care unit admission (OR = 0.31; 95% confidence interval (CI) 0.10–0.99) and the incidence of hospitalisation (OR = 0.25; 95% CI 0.10–0.62) but did not decrease the risk of all‐cause mortality and the rate of no recovery. Quercetin may be of benefit in COVID‐19 patients, especially if administered in its phytosome formulation which greatly enhances its bioavailability but large‐scale RCTs are needed to confirm these findings.
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
刚刚
研友_VZG7GZ应助Li818采纳,获得10
1秒前
Juid应助aaa采纳,获得10
1秒前
天天应助aaa采纳,获得10
1秒前
Juid应助aaa采纳,获得10
1秒前
Aurora发布了新的文献求助30
1秒前
汉堡包应助aaa采纳,获得10
1秒前
科研通AI6.1应助aaa采纳,获得80
1秒前
2秒前
潇洒的惋清应助aaa采纳,获得10
2秒前
小鹿5460应助aaa采纳,获得10
2秒前
JamesPei应助aaa采纳,获得30
2秒前
3秒前
今后应助苏素肃采纳,获得10
4秒前
小蘑菇应助俞弼采纳,获得10
4秒前
7秒前
8秒前
猴哥发布了新的文献求助10
8秒前
9秒前
yyyyy发布了新的文献求助20
10秒前
10秒前
yvonne完成签到,获得积分10
10秒前
11秒前
Owen应助Jeffreyzhong采纳,获得10
12秒前
猴哥完成签到,获得积分10
15秒前
yukaka发布了新的文献求助10
15秒前
俞弼发布了新的文献求助10
16秒前
dfghjkl发布了新的文献求助10
16秒前
17秒前
18秒前
完美世界应助白岩松采纳,获得30
18秒前
18秒前
19秒前
ayayaya完成签到 ,获得积分10
20秒前
21秒前
22秒前
苏素肃发布了新的文献求助10
23秒前
23秒前
24秒前
hulala发布了新的文献求助10
25秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 450
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 6728199
求助须知:如何正确求助?哪些是违规求助? 8462980
关于积分的说明 18064226
捐赠科研通 5985238
什么是DOI,文献DOI怎么找? 2998714
邀请新用户注册赠送积分活动 1975163
关于科研通互助平台的介绍 1931869