Clinical evidence of three traditional Chinese medicine drugs and three herbal formulas for COVID-19: A systematic review and meta-analysis of the Chinese population

医学 置信区间 荟萃分析 内科学 中医药 2019年冠状病毒病(COVID-19) 相对风险 子群分析 随机对照试验 人口 传统医学 疾病 替代医学 传染病(医学专业) 病理 环境卫生
作者
Liangzhen You,Qianqian Dai,Xiao-ying Zhong,Dongdong Yu,Herong Cui,Yifan Kong,Mengzhu Zhao,Xinyi Zhang,Qianqian Xu,Zhiyue Guan,Xuxu Wei,Xuecheng Zhang,Songjie Han,Wenjing Liu,Zhao Chen,Xiaoyu Zhang,Zhao Chen,Yinghui Jin,Hongcai Shang
出处
期刊:Journal of Integrative Medicine [Elsevier]
卷期号:21 (5): 441-454 被引量:5
标识
DOI:10.1016/j.joim.2023.08.001
摘要

The coronavirus disease 2019 (COVID-19) continues to spread worldwide. Integrated Chinese and Western medicine have had some successes in treating COVID-19. This study aims to evaluate the efficacy and safety of three traditional Chinese medicine drugs and three herbal formulas (3-drugs-3-formulas) in patients with COVID-19. Relevant studies were identified from 12 electronic databases searched from their establishment to April 7, 2022. Randomized controlled trials (RCTs), non-RCTs and cohort studies that evaluated the effects of 3-drugs-3-formulas for COVID-19. The treatment group was treated with one of the 3-drugs-3-formulas plus conventional treatment. The control group was treated with conventional treatment. Two evaluators screened and selected literature independently, then extracted basic information and assessed risk of bias. The treatment outcome measures were duration of main symptoms, hospitalization time, aggravation rate and mortality. RevMan 5.4 was used to analyze the pooled results reported as mean difference (MD) with 95% confidence interval (CI) for continuous data and risk ratio (RR) with 95% CI for dichotomous data. Forty-one studies with a total of 13,260 participants were identified. Our analysis suggests that compared with conventional treatment, the combination of 3-drugs-3-formulas might shorten duration of fever (MD = –1.39; 95% CI: –2.19 to –0.59; P < 0.05), cough (MD = –1.57; 95% CI: –2.16 to –0.98; P < 0.05) and fatigue (MD = –1.36; 95% CI: –2.21 to –0.51; P < 0.05), decrease length of hospital stay (MD = –2.62; 95% CI –3.52 to –1.72; P < 0.05), the time for nucleic acid conversion (MD = –2.92; 95% CI: –4.26 to –1.59; P < 0.05), aggravation rate (RR = 0.49; 95% CI: 0.38 to 0.64; P < 0.05) and mortality (RR = 0.34; 95% CI: 0.19 to 0.62; P < 0.05), and increase the recovery rate of chest computerized tomography manifestations (RR = 1.22; 95% CI: 1.14 to 1.3; P < 0.05) and total effectiveness (RR = 1.24; 95% CI: 1.09 to 1.42; P < 0.05). The 3-drugs-3-formulas can play an active role in treating all stages of COVID-19. No severe adverse events related to 3-drugs-3-formulas were observed. Hence, 3-drugs-3-formulas combined with conventional therapies have effective therapeutic value for COVID-19 patients. Further long-term high-quality studies are essential to demonstrate the clinical benefits of each formula. Please cite this article as: You LZ, Dai QQ, Zhong XY, Yu DD, Cui HR, Kong YF, Zhao MZ, Zhang XY, Xu QQ, Guan ZY, Wei XX, Zhang XC, Han SJ, Liu WJ, Chen Z, Zhang XY, Zhao C, Jin YH, Shang HC. Clinical evidence of three traditional Chinese medicine drugs and three herbal formulas for COVID-19: A systematic review and meta-analysis of the Chinese population. J Integr Med. 2023; 21(5): 441–454.

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
Brosen完成签到,获得积分10
1秒前
1秒前
fengha完成签到,获得积分10
1秒前
1秒前
悲凉的冬天完成签到,获得积分10
1秒前
寂寞的诗云完成签到,获得积分10
2秒前
酷波er应助文艺的从筠采纳,获得10
2秒前
谣谣发布了新的文献求助10
2秒前
猫橘汽水完成签到,获得积分10
2秒前
苗条梨愁完成签到,获得积分10
2秒前
2秒前
surui完成签到 ,获得积分10
3秒前
彩色石头发布了新的文献求助10
3秒前
adeno发布了新的文献求助10
3秒前
3秒前
内科大王发布了新的文献求助20
4秒前
星辰大海应助李怡坪采纳,获得10
4秒前
5秒前
5秒前
胡胡完成签到 ,获得积分10
7秒前
六六完成签到,获得积分10
7秒前
独特代桃发布了新的文献求助10
7秒前
迅捷海狸发布了新的文献求助10
7秒前
7秒前
8秒前
胖大星发布了新的文献求助10
8秒前
9秒前
小瓜发布了新的文献求助10
10秒前
李健应助自然的平蓝采纳,获得10
10秒前
科目三应助micaixing2006采纳,获得10
10秒前
hwt10324发布了新的文献求助50
12秒前
李健应助潇洒的问夏采纳,获得10
12秒前
米九发布了新的文献求助20
12秒前
zt发布了新的文献求助10
12秒前
12秒前
Sommer完成签到 ,获得积分10
13秒前
柒七完成签到,获得积分10
13秒前
kevinjiang发布了新的文献求助10
14秒前
15秒前
15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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Social Cognition: Understanding People and Events 1000
Polymorphism and polytypism in crystals 1000
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 6030450
求助须知:如何正确求助?哪些是违规求助? 7707080
关于积分的说明 16193623
捐赠科研通 5177449
什么是DOI,文献DOI怎么找? 2770626
邀请新用户注册赠送积分活动 1754082
关于科研通互助平台的介绍 1639446