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Abstract：
Graphical presentation of blood glucose monitoring systems\' (BGMSs) accuracy typically includes difference plots (DPs). Recently, 3 new approaches were presented: radar plots (RPs), rectangle target plots (RTPs), and surveillance error grids (SEGs). BGMS data were modeled based on 3 scenarios that can be encountered in real life to highlight strengths and limitations of these approaches. Detailed assessment of BGMS data may be easier in plots with individual data points (DPs, RPs, SEGs), whereas RTPs may facilitate display of large amounts of data or comparison of BGMS. SEGs have the advantage of assessing clinical risk. The selection of a specific type depends mostly on the kind of information sought (eg, accuracy in specific concentration intervals, lot-to-lot variability, clinical risk) as there is no \"absolute best\" approach.
摘要：
血糖监测系统(BGMS)准确性的图形表示通常包括差异图(DP)。最近,提出了3种新方法：雷达图(RP)，矩形目标图(RTPs)，和监视错误网格(SEG)。BGMS数据基于现实生活中可能遇到的3种场景进行建模，以突出这些方法的优势和局限性。在具有单个数据点的地块中，BGMS数据的详细评估可能会更容易(DP，RP,SEGs),而RTPs可以促进大量数据的显示或BGMS的比较。SEGs具有评估临床风险的优势。特定类型的选择主要取决于所寻求的信息的种类(例如，特定浓度间隔的准确性，批次间的可变性，临床风险)，因为没有“绝对最佳”方法。
