Yao Liang, Sun Rao, Chen Yao-Long, Wang Qi, Wei Dang, Wang Xiaoqin, Yang Kehu
Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, NO. 199 of Donggang Road, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, NO. 199 of Donggang Road, Lanzhou, China; Chinese GRADE Center, NO. 199 of Donggang Road, Lanzhou, China.
Department of Anesthesiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu Province, PR China.
J Clin Epidemiol. 2016 Jun;74:73-9. doi: 10.1016/j.jclinepi.2016.01.003. Epub 2016 Jan 11.
We conducted a systematic review using GRADE (Grading of Recommendations Assessment, Development and Evaluation) system to assess the quality of evidence of Chinese meta-analyses (MAs).
DESIGN/SETTING: A systematic review of MAs listed in Chinese Biomedicine Literature Database from January 2010 to December 2012.
Mesh term "meta-analysis" was used to search the Chinese Biomedicine Literature Database from January 2010 to December 2012. Characteristics and main outcomes of each included MA were extracted, and the GRADE system was used to assess the quality of evidence for each outcome. A 10% random sample of Cochrane MAs between 2010 and 2012 was also assessed as control group.
A total of 564 Chinese MAs (including 1,237 main outcomes) and 95 Cochrane MAs (including 251 main outcomes) were identified. Almost half (600, 48.5%) of the outcomes in Chinese MAs were rated as low, and the proportion of outcomes with high or moderate quality of evidence was lower in Chinese MAs than Cochrane MAs (Chinese, 406 [32.8%] vs. Cochrane MAs, 155 [61.8%], P < 0.001). Of the outcomes in Chinese MAs, 1,012 (81.8%) were downgraded for risk of bias. Other common factors for downgrading were imprecision (448, 36.2%), publication bias (418, 33.8%), inconsistency (351, 28.4%), and indirectness (1, 0.1%).
Chinese MAs were of low quality of evidence. Risk of bias, inconsistency, and publication bias were the three most common downgrade factors in Chinese MAs. Efforts must be made to improve quality of evidence of Chinese MAs, and a call for more rigorous training of investigators in China is warranted.
我们采用GRADE(推荐分级的评估、制定与评价)系统进行了一项系统评价,以评估中文荟萃分析(MA)的证据质量。
设计/背景:对2010年1月至2012年12月期间收录于中国生物医学文献数据库中的MA进行系统评价。
使用主题词“荟萃分析”检索2010年1月至2012年12月期间的中国生物医学文献数据库。提取每项纳入的MA的特征和主要结局,并使用GRADE系统评估每个结局的证据质量。还对2010年至2012年期间Cochrane MA的10%随机样本作为对照组进行评估。
共识别出564篇中文MA(包括1237个主要结局)和95篇Cochrane MA(包括251个主要结局)。中文MA中近一半(600个,48.5%)的结局被评为低质量,中文MA中具有高质量或中等质量证据的结局比例低于Cochrane MA(中文,406个[32.8%] vs. Cochrane MA,155个[61.8%],P < 0.001)。在中文MA的结局中,1012个(81.8%)因偏倚风险而被降级。其他常见的降级因素包括不精确性(448个,36.2%)、发表偏倚(418个,33.8%)、不一致性(351个,28.4%)和间接性(1个,0.1%)。
中文MA的证据质量较低。偏倚风险、不一致性和发表偏倚是中文MA中最常见的三个降级因素。必须努力提高中文MA的证据质量,呼吁对中国的研究人员进行更严格的培训。