Table 5. Comparison of the different ROC-prediction models based on known markers of type 2 diabetes risk and those derived using metabolomics.

Numbers are P-values and the ones highlighted in grey are significantly different at P<0.05.

	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7	Model 8
Model 1	x	0.2419	$0.0009$	$0.0004$	0.7313	0.7330	0.7486	$0.0050$
Model 2	x	x	$0.0456$	$0.0247$	0.4363	0.4248	0.4007	0.1212
Model 3	x	x	x	0.7406	0.0057	$0.0047$	$0.0035$	0.6780
Model 4	x	x	x	x	$0.0028$	$0.0023$	$0.0016$	0.4729
Model 5	x	x	x	x	x	0.9764	0.9733	0.2094
Model 6	x	x	x	x	x	x	0.9789	$0.0184$
Model 7	x	x	x	x	x	x	x	$0.0147$
Model 8	x	x	x	x	x	x	x	x

Model 1: Non-invasive, Model 2: Noninvasive + metabolomics, Model 3: Adiponectin, Model 4: Adiponectin + metabolomics, Model 5: Metabolomics, Model 6: Optimized metabolomics, Model 7: Adiponectin without glucose measures and Model 8: Optimized metabolomics with glucose measures