Gartlehner Gerald, Dobrescu Andreea, Evans Tammeka Swinson, Thaler Kylie, Nussbaumer Barbara, Sommer Isolde, Lohr Kathleen N
Department for Evidence-based Medicine and Clinical Epidemiology, Danube University, Dr. Karl Dorrek Strasse 30, 3500 Krems, Austria; RTI-International, 3040 East Cornwallis Road, Research Triangle Park, NC 27709-2194, USA.
Victor Babes University, Piaţa Eftimie Murgu Nr. 2, 300041, Timişoara, Romania.
J Clin Epidemiol. 2016 Jan;69:16-22. doi: 10.1016/j.jclinepi.2015.02.013. Epub 2015 Feb 28.
The objective of our study was to use a diverse sample of medical interventions to assess empirically whether first trials rendered substantially different treatment effect estimates than reliable, high-quality bodies of evidence.
We used a meta-epidemiologic study design using 100 randomly selected bodies of evidence from Cochrane reports that had been graded as high quality of evidence. To determine the concordance of effect estimates between first and subsequent trials, we applied both quantitative and qualitative approaches. For quantitative assessment, we used Lin's concordance correlation and calculated z-scores; to determine the magnitude of differences of treatment effects, we calculated standardized mean differences (SMDs) and ratios of relative risks. We determined qualitative concordance based on a two-tiered approach incorporating changes in statistical significance and magnitude of effect.
First trials both overestimated and underestimated the true treatment effects in no discernible pattern. Nevertheless, depending on the definition of concordance, effect estimates of first trials were concordant with pooled subsequent studies in at least 33% but up to 50% of comparisons. The pooled magnitude of change as bodies of evidence advanced from single trials to high-quality bodies of evidence was 0.16 SMD [95% confidence interval (CI): 0.12, 0.21]. In 80% of comparisons, the difference in effect estimates was smaller than 0.5 SMDs. In first trials with large treatment effects (>0.5 SMD), however, estimates of effect substantially changed as new evidence accrued (mean change 0.68 SMD; 95% CI: 0.50, 0.86).
Results of first trials often change, but the magnitude of change, on average, is small. Exceptions are first trials that present large treatment effects, which often dissipate as new evidence accrues.
我们研究的目的是使用多样的医学干预样本,通过实证评估首次试验得出的治疗效果估计值与可靠的高质量证据相比是否存在显著差异。
我们采用了一项元流行病学研究设计,从Cochrane报告中随机选取了100篇被评为高质量证据的文献。为了确定首次试验与后续试验之间效果估计值的一致性,我们同时应用了定量和定性方法。对于定量评估,我们使用了林氏一致性相关性并计算了z分数;为了确定治疗效果差异的大小,我们计算了标准化均数差(SMD)和相对风险比。我们基于一种包含统计显著性变化和效果大小的两层方法来确定定性一致性。
首次试验对真实治疗效果的高估和低估均无明显规律。然而,根据一致性的定义,在至少33%但高达50%的比较中,首次试验的效果估计值与后续研究的汇总结果一致。随着证据从单个试验发展到高质量证据,汇总的变化幅度为0.16 SMD [95%置信区间(CI):0.12, 0.21]。在80%的比较中,效果估计值的差异小于0.5 SMD。然而,在具有大治疗效果(>0.5 SMD)的首次试验中,随着新证据的积累,效果估计值发生了显著变化(平均变化0.68 SMD;95% CI:0.50, 0.86)。
首次试验的结果通常会发生变化,但平均变化幅度较小。例外情况是那些呈现大治疗效果的首次试验,随着新证据的积累,这些效果往往会消失。