摘要
为了评价硫酸羟氯喹联合甲氨蝶呤治疗类风湿关节炎的临床疗效和安全性,利用计算机检索万方数据知识服务平台、中国知网、维普中文科技期刊全文数据库、中国生物医学文献数据库、PubMed、Web of Science,检索时限均从建库起至2020年9月16日,纳入硫酸羟氯喹联合甲氨蝶呤对比甲氨蝶呤治疗类风湿关节炎的随机对照实验(RCT),并根据纳入及排除标准,使用Review Man⁃ager 5.4软件对最终纳入的16篇文献实行Meta分析.依据Cochrane协作网偏移风险评价准则,对纳入的文献,经由Review Manager 5.4软件实施评估.结果显示:与单独使用甲氨蝶呤对比,硫酸羟氯喹与甲氨蝶呤联合使用能改善临床症状,降低炎症指标,减少不良反应发生率,增加药物的安全性.由于纳入文献样本量较小及异质性等问题,可寻求更多高质量随机对照试验,来提升本研究的临床循证学依据.
To evaluate the clinical efficacy and safety of hydroxychloroquine sulfate combined with metho⁃trexate in the treatment of rheumatoid arthritis(RA),the computer is used to retrieve the date knowledge service platform of ten thousand,China,Weipu Zhong Wen technology journal full-text database,Chinese biomedical literature database,PubMed,Wed of Science,retrieval time limit from building up to September 16,2020,under the joint methotrexate hydroxychloroquine sulfate contrast methotrexate for the treatment of rheumatoid arthritis(RA)randomized controlled test(RCT).And according to include and exclude standards,Review 5.4 software was used to perform Meta-analysis on the 20 articles eventually included.According to the Cochrane Collaboration migration risk assessment criteria,the include literature was evaluated using Review Manager 5.4 software.The results show that combined use of hydroxychloroquine sulfate and methotrexate can improve clinical symptoms,reduce inflammatory indicators,reduce the inci⁃dence of adverse reactions,and increase the safety of the drug.Due to the small sample size and heteroge⁃neity of the included literatures,more high-quality randomized controlled trials can be sought to improve the clinical evidence-based basis of this study.
作者
陶艳红
黄传兵
陈君洁
周娜
王泽
曹云祥
TAO Yan-hong;HUANG Chuan-bing;CHEN Jun-jie;ZHOU Na;WANG Ze;CAO Yun-xiang(Anhui University of Chinese Medicine,Hefei 230031,China;The First Affiliated Hospital of Anhui University of Chinese Medicine,Hefei 230031,China)
出处
《通化师范学院学报》
2022年第2期56-63,共8页
Journal of Tonghua Normal University
基金
国家自然科学基金面上项目(82074090)
国家自然基金项目(81473672)
安徽省自然科学基金面上项目(1808085MH303)
安徽省高校自然科学研究重点项目(KJ2020A0403)。
