摘要
目的:评价近5年来国内慢性胃炎中西医结合治疗的临床疗效与安全性。方法:检索中国知网数据库(CNKI)、万方数据库、维普数据库中2009年1月至2013年10月中西医结合治疗慢性胃炎临床随机对照研究(RCT)的相关文献进行Meta分析。结果:共纳入14篇文献。Meta分析结果显示:中西医结合治疗慢性胃炎的总有效率[OR=4.24,95%CI(2.94,6.11)]和HP根除率[OR=2.60,95%CI(1.93,3.49)]均优于对照组,2组比较差异具有统计学意义。结论:中西医结合治疗慢性胃炎与单纯西医治疗比较可明显提高总有效率和HP根除率;然而本研究纳入文献经Jadad评分后得出结论,大部分文献质量不高,使得本次研究分析受到一定的限制,需在今后的临床研究中借鉴现代临床研究规范,并在中、西医理论指导下,采用样本含量大、随机性分配试验可靠、研究纳入样本采取随访或盲法的试验,以获得更加严谨的临床研究数据,客观评价临床疗效。
Objective： To evaluate the clinical effect and safety of integration of Chinese and western medicine in treating chronic gastritis. Methods： Meta analyses were used to analyzed the RCT literatures of the treatment of chronic gastritis with the integrative Chinese and western medicine by crossly searching CNKI, Wanfang, VIP databases with the scopes from January 2009 to October 2013. Results： Totally 14 literatures were sorted out. Meta analysis results showed that total effect rate of combining traditional Chinese and western medicine treatment of chronic gastritis [OR = 4.24, 95% CI（2.94, 6.11）] and HP eradication rate [OR = 2.60, 95% CI（1.93, 3.49）] were superior to control group, two groups of comparison difference is statistically significant.. Conclusion： The integration of Chinese and western medicine for chronic gastritis can markedly increase the total effective and HP eradication rates, compared with the pure western medicine; but the qualities of the literatures contained in the research were inferior after evaluated by Jadad scores, which limited the research in a certain degree. With large samples, reliable randomly allocating trials and sample selected trials by follow-up or blind method, the modern clinical research standard should be learned in the future research under the guidance of Chinese and western medical theory to obtain precise clinical study data and objectively evaluate the clinical effects.
出处
《西部中医药》
2015年第3期75-78,共4页
Western Journal of Traditional Chinese Medicine
关键词
胃炎
慢性
中西医结合
随机对照文献
META分析
chronic gastritis
integration of Chinese and western medicine
random control literature
Meta-analysis
