Department of Biostatistics, University of Alabama, Birmingham, AL, USA.
Psychiatry Res. 2009 Dec 30;170(2-3):172-6. doi: 10.1016/j.psychres.2008.10.007. Epub 2009 Nov 8.
The purpose of this study was to examine whether prior evidence of an inverse relationship between initial body weight and subsequent antipsychotic-induced weight change represents true effect modification or a statistical artifact, regression to the mean (RTM). We conducted a post-hoc analysis after pooling seven randomized, placebo- or active-controlled trials of ziprasidone and other antipsychotic agents. ANCOVA was applied to evaluate treatment-by-baseline body mass index (BMI) range interaction effect on weight change. Regression analysis was applied to estimate the potential bias due to RTM. Statistical interaction tests between baseline BMI ranges and treatment assignments (haloperidol, olanzapine, risperidone, or ziprasidone, versus placebo) were not significant within studies or across studies. Correlation between baseline and follow-up measurements of body weight in placebo-treated subjects was less than perfect (r=0.87, 6-month cohort), leading to RTM. Consistent with predictions based on RTM, the greatest weight change, on average, was observed in subgroups with baseline weights differing the most from the population mean. Our findings suggest that the previously observed correlation between baseline BMI and weight change subsequent to antipsychotic treatment reflects in part RTM, and not effect modification. This class of drugs appears to cause similar weight gain in both high and low baseline BMI groups.
本研究旨在检验先前观察到的初始体重与随后抗精神病药引起的体重变化之间的反比关系是否代表真正的效应修饰或统计假象,即均值回归(RTM)。我们在汇总了七种齐拉西酮和其他抗精神病药物的随机、安慰剂或阳性对照试验后进行了事后分析。应用协方差分析(ANCOVA)评估体重变化的治疗-基线体重指数(BMI)范围交互作用效应。应用回归分析估计由于 RTM 引起的潜在偏差。在研究内或跨研究中,基线 BMI 范围和治疗分配(氟哌啶醇、奥氮平、利培酮或齐拉西酮与安慰剂)之间的统计学交互检验均无显著差异。安慰剂治疗受试者的体重基线和随访测量之间的相关性并不完美(r=0.87,6 个月队列),导致 RTM。根据 RTM 的预测,基线体重与人群平均值相差最大的亚组观察到的体重变化最大。我们的研究结果表明,先前观察到的基线 BMI 与抗精神病药物治疗后体重变化之间的相关性部分反映了 RTM,而不是效应修饰。这一类药物似乎在高基线 BMI 和低基线 BMI 组中引起相似的体重增加。