Curtin François, Elbourne Diana, Altman Douglas G
Medical Statistics Unit, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1 7HT, UK.
Stat Med. 2002 Aug 15;21(15):2161-73. doi: 10.1002/sim.1207.
In meta-analysis combining results from parallel and cross-over trials, there is a risk of bias originating from the carry-over effect in cross-over trials. When pooling treatment effects estimated from parallel trials and two-period two-treatment cross-over trials, meta-analytic estimators of treatment effect can be obtained from the combination of parallel trial results either with cross-over trial results based on data of the first period only or with cross-over trial results analysed with data from both periods. Taking data from the first cross-over period protects against carry-over but gives less efficient treatment estimators and may lead to selection bias. This study evaluates in terms of variance reduction and mean square error the cost of calculating meta-analysis estimates with data from the first period instead of data from the two cross-over periods. If the information on cross-over sequence is available, we recommend performing two combined design meta-analyses, one using the first cross-over period data and one based on data from both cross-over periods. To investigate simultaneously the statistical significance of these two estimators as well as the carry-over at meta-analysis level, a method based on a multivariate analysis of the meta-analytic treatment effect and carry-over estimates is proposed.
在合并平行试验和交叉试验结果的荟萃分析中,存在因交叉试验中的残留效应而产生偏倚的风险。在汇总平行试验和两期双治疗交叉试验估计的治疗效果时,治疗效果的荟萃分析估计值可以通过仅基于第一期数据的交叉试验结果与平行试验结果相结合,或者通过使用两期数据进行分析的交叉试验结果与平行试验结果相结合来获得。采用来自第一个交叉期的数据可防止残留效应,但会得到效率较低的治疗估计值,并且可能导致选择偏倚。本研究从方差缩减和均方误差方面评估了使用第一期数据而非两个交叉期数据计算荟萃分析估计值的代价。如果有交叉序列信息,我们建议进行两项合并设计的荟萃分析,一项使用第一个交叉期数据,另一项基于两个交叉期的数据。为了在荟萃分析层面同时研究这两个估计值的统计学显著性以及残留效应,提出了一种基于对荟萃分析治疗效果和残留效应估计值进行多变量分析的方法。