中成药联合西医基础治疗老年慢性支气管炎疗效Meta分析
Meta-analysis of the Efficacy of Chinese Patent Medicine Combined with Western Medicine for the Treatment of Senile Chronic Bronchitis
何金秀 1姜德 1魏毅 1陈乙菲1
作者信息
- 1. 新疆医科大学中医学院,乌鲁木齐 831400
- 折叠
摘要
系统评估中成药联合西医基础治疗老年慢性支气管炎的临床效果,为有效控制和缓解老年慢性支气管炎临床症状的深度研究提供依据.应用计算机在中国知网(CNKI)、中文科技期刊数据库(维普网)、中国学术期刊数据库(万方数据)等数据库中检索和筛选相关文献,采用Cochrane系统提供的ROB 2.0评估软件进行文献偏倚风险评估、协作网提供的Revman 5.4.1软件进行统计分析.对11篇文献的Meta分析结果显示,与对照组相比,治疗组能显著提高老年慢性支气管炎的临床效果(RR=1.22,95％CI[1.25,1.29])、缩短咳嗽消失时间(MD=-2.96,95％CI[-4.09,-1.84])、啰音消失时间(MD=-2.97,95％CI[-4.19,-1.74])、喘息消失时间(MD=-2.13,95％CI[-2.71,-1.54])并改善其用力肺活量(FVC)(MD=0.59,95％CI[0.46,0.71])、呼气峰值流速(PEF)(MD=1.06,95％CI[0.79,1.33])、FEV1％占预计值百分比(FEV1％)(MD=8.69,95％CI[6.52,10.89]),表明中成药联合西医基础治疗可以提高老年慢性支气管炎患者的临床效果,缩短症状控制时间并改善患者的肺功能.
Abstract
To access the efficacy of Chinese patent medicine combined with western medicine in the treatment of senile chronic bronchitis,and provide reference for the deep research of effective control and relief of senile chronic bronchitis,the study searches and screens related papers in CNKI,VIP and WanFang Data,etc.ROB 2.0 evaluation software provided by the Cochrane system is used for literature bias risk assessment,and the Revman 5.4.1 software provided by the collaborative network is used for statistical analysis.Results of Meta-analysis of 11 papers show that compared with the control group,Chinese medicine improved clinical efficiency(RR=1.22,95％CI[1.25,1.29]),and shortened time to disappearance of cough(MD=-2.96,95％CI[-4.09,-1.84]),time to disappearance of rales(MD=-2.97,95％CI[-4.19,-1.74]),time to disappearance of wheeze(MD=-2.13,95％CI[-2.71,-1.54]),and improvement in FVC(MD=0.59,95％CI[0.46,0.71]),PEF(MD=1.06,95％CI[0.79,1.33])and FEV1％(MD=8.69,95％CI[6.52,10.89]).Chinese patent medicine combined with western medicine can improve the clinical efficacy of senile chronic bronchitis,shorten the time to symptom control,and improve lung function.
关键词
老年慢性支气管炎/中成药联合西医基础治疗/Meta分析Key words
Senile chronic bronchitis/Chinese patent medicine Combined with western medicine/Meta-analysis引用本文复制引用
基金项目
新疆维吾尔自治区自然科学基金(2022D01C724)
新疆地区高发疾病研究教育部重点实验室开放课题(2023B05)
出版年
2024
NETL
NSTL
万方数据