Le C T, Daly K A, Margolis R H, Lindgren B R, Giebink G S
Otitis Media Research Center, University of Minnesota, Minneapolis.
Arch Otolaryngol Head Neck Surg. 1992 Nov;118(11):1225-8. doi: 10.1001/archotol.1992.01880110093016.
An otitis media with effusion algorithm developed by Paradise et al and tested by Cantekin et al has become the basis for many studies of otitis media. However, a two-point scale algorithm (otitis media with effusion-no otitis media with effusion) may be too ambitious (ie, low specificity) and too optimistic (ie, absence of fluid does not necessarily mean normal ear). We propose a four-point profile that characterizes the condition of the middle ear, and we report the validation of the profile against findings at myringotomy. Statistically, a four-point scale profile would substantially increase powers of statistical tests, compared with a two-point scale algorithm (in studies of the same size), when used to study changes of the middle-ear condition over time or to compare treatment effects.
由帕拉迪塞等人开发并经坎泰金等人测试的分泌性中耳炎算法已成为许多分泌性中耳炎研究的基础。然而,两点量表算法(分泌性中耳炎-非分泌性中耳炎)可能过于理想(即特异性低)且过于乐观(即无积液不一定意味着耳朵正常)。我们提出了一种描述中耳状况的四点概况,并报告了该概况与鼓膜切开术结果的验证情况。从统计学角度来看,与两点量表算法相比(在样本量相同的研究中),当用于研究中耳状况随时间的变化或比较治疗效果时,四点量表概况将大幅提高统计检验的功效。