摘要
目的采用网状Meta分析的方法评价多种干预措施针对化疗性静脉炎的干预效果。方法计算机检索中国知网,中文科技期刊数据库,中国生物医学文献数据库,中华医学会数字化期刊,PubMed,Web of Science,Cochrane library,EMBASE。采用ADDIS1.16.5软件、WinBUGS 1.43软件对研究数据进行分析,采用Stata软件进行网状图的绘制。结果共纳入32篇RCT,涉及12种干预措施,合计2 555例样本量。ADDIS及WinBUGS均显示芦荟、水胶体敷料、如意金黄散、马铃薯、延胡索合剂与硫酸镁湿敷比较有统计学差异。干预效果排名前4位的依次是延胡索合剂、芦荟、金黄散、水胶体敷料。结论与硫酸镁湿敷相比,芦荟、水胶体敷料、如意金黄散、马铃薯、延胡索合剂提高了化疗性静脉炎的治愈率。网状Meta分析能够解决护理领域多干预方案比较的问题。
Objective To assess the clinical effects of multiple interventions for chemotherapeutic phlebitis using a network meta-analysis.Methods A systematic search of Chinese Knowledge Infrastructure（CNKI）,Chinese Sci-tech Periodical Full-text Database,Chinese Biomedical Literature Database（CBM）,Digital Journals of Chinese Medical Association,PubMed,Web of Science,Cochrane Library,and EMBASE was carried out to identify all the randomized controlled trials（RCTs）that explored the effect of nursing interventions on chemotherapeutic phlebitis.The RCTs were screened according to the predefined inclusion and exclusion criteria.Data were analyzed using ADDIS1.16.5and WinBUGS 1.43 softwares,and the network plot was drawn using Stata software.Results Totally 32 randomized controlled trials were included,involving 12 interventions,covering 2555 patients.Aloe vera,hydrocolloid dressings,Ruyi golden powder,potato,corydalis mixture were significantly more effective than magnesium sulfate wet compressing.Among all the interventions,the corydalis mixture was the most effective,followed by aloe vera,Ruyi golden powder and hydrocolloid dressings.Conclusion The aloe vera,hydrocolloid dressings,Ruyi golden powder,potato and corydalis mixture are superior to magnesium sulfate wet compressing in treating chemotherapeutic phlebitis.The network meta-analysis can be used to compare the effect of multiple interventions in nursing.
出处
《护理学杂志》
CSCD
2016年第4期85-90,共6页
Journal of Nursing Science
关键词
化疗性静脉炎
护理干预
芦荟
水胶体敷料
如意金黄散
延胡索合剂
硫酸镁
网状Meta分析
chemotherapeutic phlebitis
nursing interventions
aloe vera
hydrocolloid dressings
Ruyi golden powder
co rydalis mixture
magnesium sulfate
network meta-analysis
