Ravaud P, Giraudeau B, Auleley G R, Edouard-Noël R, Dougados M, Chastang C
Clinique de Rhumatologie, Hôpital Cochin et Université René Descartes, Paris, France.
J Clin Epidemiol. 1999 Dec;52(12):1225-30. doi: 10.1016/s0895-4356(99)00109-2.
Interpreting changes in continuous structural outcome measures is a common problem in clinical research and in daily practice. We propose a method for estimating whether difference observed between two successive measures in an individual constitutes a statistically relevant change or a change induced by variability. This statistically relevant change is based on an analysis of reproducibility. The continuous structural outcome measure investigated as an example was joint space width (JSW) measurement on standard X-rays, which is known to be the primary end-point for assessing structural osteoarthritis progression. The results of the present study demonstrate that cutoffs are closely dependent on all sources of variabilities in JSW measurement such as joint positioning, radiographic procedure, and the measurement process itself. Therefore, we suggest to determine cutoffs for each study using a representative sample of the population studied and using the procedures and methods of measurement of the specific study. This approach may easily be extended to other continuous structural outcome measures.
解读连续结构结局指标的变化是临床研究和日常实践中的常见问题。我们提出了一种方法,用于估计个体两个连续测量值之间观察到的差异是构成统计学上相关的变化还是由变异性引起的变化。这种统计学上相关的变化基于可重复性分析。作为示例研究的连续结构结局指标是标准X射线上的关节间隙宽度(JSW)测量,已知其是评估结构性骨关节炎进展的主要终点。本研究结果表明,临界值紧密依赖于JSW测量中所有变异性来源,如关节定位、放射成像程序以及测量过程本身。因此,我们建议针对每项研究,使用所研究人群的代表性样本,并采用特定研究的测量程序和方法来确定临界值。这种方法可以很容易地扩展到其他连续结构结局指标。