Cohen P, Dix D
Acta Diabetol Lat. 1984 Apr-Jun;21(2):181-9. doi: 10.1007/BF02591108.
Oral glucose tolerance test results from a positively-skewed, unimodal distribution were analyzed in such a way as to uncover a natural division within the set of results for each time point. The division in results was obtained from a break in the curve formed when plasma glucose concentration was plotted vs the percentile of the population described by those concentrations. The percentile at which the break occurs separated normal from abnormal glucose concentrations objectively. Previously natural divisions between normal and abnormal glucose concentrations had been found only in bimodal distributions from atypical populations such as the Pima Indians and Nauruans of Micronesia. The glucose concentrations at which separations in our unimodal distribution occur compare well with the available data from the atypical populations. According to one measure of reliability, the 3-h time point was more effective than the more commonly utilized 2-h point in distinguishing normal from abnormal plasma glucose concentration.
对呈正偏态单峰分布的口服葡萄糖耐量试验结果进行了分析,目的是在每个时间点的结果集中找出自然划分。结果的划分是通过绘制血浆葡萄糖浓度与由这些浓度描述的人群百分位数所形成曲线中的断点获得的。断点处的百分位数客观地将正常血糖浓度与异常血糖浓度区分开来。此前,正常和异常血糖浓度之间的自然划分仅在非典型人群(如密克罗尼西亚的皮马印第安人和瑙鲁人)的双峰分布中被发现。我们单峰分布中出现划分的葡萄糖浓度与非典型人群的现有数据比较吻合。根据一种可靠性度量,在区分正常和异常血浆葡萄糖浓度方面,3小时时间点比更常用的2小时时间点更有效。