Gries J M, Troconiz I F, Verotta D, Jacobson M, Sheiner L B
Department of Biopharmaceutical Sciences, School of Pharmacy, University of California, San Francisco 94143-0446, USA.
Clin Pharmacol Ther. 1997 Jan;61(1):70-82. doi: 10.1016/S0009-9236(97)90183-1.
This article reports a meta-analysis focused on the efficacy of zalcitabine and zidovudine alone or in combination as reported by three AIDS Clinical Trial Group trials. We analyzed the log CD4 count (LCD4) response to therapy up to 1 year after the beginning of therapy. One of the purposes of this article was to illustrate a meta-analysis method that permits pooling of original data from trials with different designs.
To effectively eliminate obvious differences due to design, we first estimated complete (1 year) individual LCD4 versus time curves using a sophisticated smoothing technique. Then several summary descriptors were computed from the completed LCD4 curves. Those descriptors were corrected for baseline covariate differences, and the corrected values were then related to measures of drug exposure.
Significant baseline covariates were LCD4 baseline count and AIDS-related complex or AIDS diagnosis. The predictor, corrected for baseline covariates, that correlated best with drug exposure was intensity, the initial rate of rise of LCD4, estimated as the slope of LCD4 between pretreatment and peak LCD4.
Using intensity as a single response measure, we found weak evidence for synergism of zalcitabine and zidovudine: combination therapy increased response by 20% over that expected from a purely additive interaction.
本文报告了一项荟萃分析,该分析聚焦于三项艾滋病临床试验组试验所报告的扎西他滨和齐多夫定单独使用或联合使用的疗效。我们分析了治疗开始后长达1年的对数CD4细胞计数(LCD4)对治疗的反应。本文的目的之一是阐述一种荟萃分析方法,该方法允许汇总来自不同设计试验的原始数据。
为有效消除因设计导致的明显差异,我们首先使用一种复杂的平滑技术估计完整(1年)的个体LCD4与时间的曲线。然后从完整的LCD4曲线计算出几个汇总描述指标。这些描述指标针对基线协变量差异进行了校正,然后将校正后的值与药物暴露量度相关联。
显著的基线协变量是LCD4基线计数以及艾滋病相关综合征或艾滋病诊断。校正基线协变量后,与药物暴露相关性最佳的预测指标是强度,即LCD4的初始上升速率,估计为治疗前至LCD4峰值之间LCD4的斜率。
以强度作为单一反应指标,我们发现扎西他滨和齐多夫定协同作用的证据不足:联合治疗的反应比单纯相加作用预期的增加了20%。