Borm George F, Lemmers Oscar, Fransen Jaap, Donders Rogier
Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
J Clin Epidemiol. 2009 Jul;62(7):711-715.e1. doi: 10.1016/j.jclinepi.2008.09.013. Epub 2009 Jan 25.
To investigate whether a single trial can provide sufficiently robust evidence to warrant clinical implementation of its results. Trial-specific factors, such as subject selection, study design, and execution strategy, have an impact on the outcome of trials. In multiple trials, they may lead to heterogeneity that can be taken into account in the (random effects) meta-analysis. Single trials lack this method of estimating the impact of such factors, and this affects the credibility of the results.
To indicate how much the precision of the results of a single trial might be overestimated, we calculated the ratio of the widths of the confidence intervals when heterogeneity was taken into account and when it was not.
The ratios of the widths of the confidence intervals with and without between-study variability were 1.15, 1.41, and 2.00, when the heterogeneity I(2) values were 0.25, 0.50, and 0.75, respectively.
The results of a single trial should be interpreted with caution. When it is difficult to predict or determine how trial-specific factors influence the results, the best way to evaluate the performance of a treatment is to use multiple, possibly smaller, trials.
探讨单个试验是否能够提供足够有力的证据,以保证其结果可应用于临床。试验特定因素,如受试者选择、研究设计和实施策略,会对试验结果产生影响。在多个试验中,这些因素可能导致异质性,而这种异质性在(随机效应)荟萃分析中可以得到考虑。单个试验缺乏评估此类因素影响的方法,这会影响结果的可信度。
为了表明单个试验结果的精确度可能被高估的程度,我们计算了考虑异质性和不考虑异质性时置信区间宽度的比值。
当异质性I(2)值分别为0.25、0.50和0.75时,考虑和不考虑研究间变异性的置信区间宽度比值分别为1.15、1.41和2.00。
对单个试验的结果应谨慎解读。当难以预测或确定试验特定因素如何影响结果时,评估一种治疗方法效果的最佳方式是采用多个规模可能较小的试验。