Table 3.

Classification potential of the information of metabolomics.

References	Method	Discriminant models	Discriminant group;Precision
Liu(2020) [16]	Logistic Regression	Demographic characteristics and panel metabolites(hypoxanthine, L-2-amino-3-(1-pyrazolyl)propanoic acid, linoleic acid, maleic acid, ribonolactone)	AUC = 0.906; Sen = 0.877; Spe = 0.684
Ke(2020) [14]	AUC	Altered metabolites	AUC: 0.59~0.71
Dai(2019) [15]	Logistic regression	γ-glutamyltyrosine and 12-oxo-20-trihydroxy-leukotriene B4	(Discovery)AUC = 0.983; Sen = 97%; Spe = 90%; (Test)AUC = 0.958; Sen = 80%; Spe = 95%

AUC Area under receiver operating characteristic, Sen Sensitivity, Spe Specificity.