Modern Educational Technology Center, Dalian Medical University, No. 9 West Section Lvshun South Road, Dalian 116044, P. R. China.
College of Basic Medical Sciences, Dalian Medical University, No. 9 West Section Lvshun, South Road, Dalian 116044, P. R. China.
J Bioinform Comput Biol. 2020 Dec;18(6):2050036. doi: 10.1142/S0219720020500365. Epub 2020 Oct 15.
Biomarkers are used for clinical diagnostic purposes, but existing indexes exhibit limitations in terms of the resolving power of biomarkers. This paper proposes a new index, the magnitude-standardized index (MSI), to describe the quantitative variations and resolving powers of different biomarkers. In MSI analysis models, variation scales for ratios and differences are considered simultaneously, and a higher MSI value implies a stronger risk or effect for a biological factor. We explain the rationale for the MSI via hybrid and geometric methods and verify its efficacy through simulation experiments. Our results indicate that the MSI is superior to the Youden index and odds ratio for describing resolving power. When two biomarkers with similar Youden index values, odds ratios, or MSI values but different positive test rates (or cardinal numbers) were combined, all three index values increased; however, only the MSI value remained relatively stable. For a very small cardinal number, such as that of a single nucleotide polymorphism, the MSI value is at most half of the maximum value (0.5), allowing comparisons between MSI values for biomarkers with different cardinal numbers. The MSI can thus provide a better quantifiable evaluation of the resolving power of biomarkers with different cardinal numbers.
生物标志物用于临床诊断目的,但现有的指标在生物标志物的分辨率方面存在局限性。本文提出了一种新的指标,即幅度标准化指数(MSI),用于描述不同生物标志物的定量变化和分辨率。在 MSI 分析模型中,同时考虑了比值和差异的变化尺度,并且 MSI 值越高表示生物因素的风险或效应越强。我们通过混合和几何方法解释了 MSI 的原理,并通过模拟实验验证了其功效。结果表明,MSI 优于 Youden 指数和优势比,可用于描述分辨率。当两个具有相似 Youden 指数值、优势比或 MSI 值但阳性测试率(或基数)不同的生物标志物组合时,所有三个指数值都增加;然而,只有 MSI 值保持相对稳定。对于基数很小的情况,例如单核苷酸多态性,MSI 值最高为最大值的一半(0.5),允许比较不同基数的生物标志物的 MSI 值。因此,MSI 可以更好地对具有不同基数的生物标志物的分辨率进行可量化评估。