摘要
目的运用SYRCLE工具评价中文期刊发表卒中/中风动物实验的方法学质量,系统分析卒中/中风领域动物实验在设计、实施和测量过程中存在的不足,为改善我国动物实验的方法学质量,生产高质量临床前研究提供思路。方法计算机检索CBM、VIP、CNKI和WanFang Data数据库,搜集所有卒中/中风相关动实验,检索时限均为从建库至2014年12月31日。由两名研究者独立筛选文献、提取资料,并采用荷兰动物实验系统评价研究中心研发的SYRCLE工具评价纳入卒中/中风动物实验的方法学质量。结果共纳入582篇卒中/中风动物实验。SYRCLE工具评价结果显示:SYRCLE工具22个条目中,4个条目评价为"低风险"的文献数大于50%,16个条目评价为"低风险"的文献数小于30%;从SYSCLE工具条目数"低风险"的分布情况方面,99%的文献满足3个以上条目为"低风险",17%的文献满足10个以上条目为"低风险",不足1%的文献满足17个条目为"低风险";不同时间段发表的卒中/中风动物实验总体质量呈上升趋势,但在2010~2014年段略有下降;CSCD期刊与非CSCD期刊发表的卒中/中风动物实验SYRCLE工具评价结果差异无统计学意义(P≥0.05)。结论国内卒中/中风动实验的方法学质量较差,存在选择性偏倚、实施偏倚、测量偏倚、失访偏倚以及报告偏倚等问题。
Objective Using SYRCLE tool (the SYstematic Review Centre for Laboratory animal Experimentation) to evaluate the risk of bias of animal studies in stroke field published in Chinese journals, identify problems of these studies in design, implementation and measurement, in order to provide references for improving the quality of animal studies in China. Methods We searched databases including CBM, VIP, CNKI and WanFang Data from inception to December 31st, 2014. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included animal studies using SYRCLE tool developed by the National Centre for the Replacement, Refinement and Reduction of Animals in Research. Results A total of 582 studies were included. The assessment results showed that the number of reported items with "Low Risk" in SYRCLE, which have 22 items, reported in 〉50% of the 4 items and in 〈30% the 16 items in articles of animals experiments. More than 99% of the studies fulfilled the 3 items and more than 17% of the articles to meet the 10 items while less than 1% of the documents met the 17 items. The quality of studies increased excepted the period of 2010 to 2014. The methodological quality of animal experiments presented a trend of increasing and no significant differences were found in CSCD indexed or not. Conclusions The methodological quality of animal experiments of stroke is poor in China in terms of the selection bias, implementation bias, measurement bias, withdraw bias and reporting bias.
出处
《中国循证医学杂志》
CSCD
2016年第5期592-597,共6页
Chinese Journal of Evidence-based Medicine
基金
2015年国家中医药行业科研专项(编号:201507006)