Table 5.

Summary of ROC curve analysis.

	AUC				Sensitivity	Specificity	Correct classification
	Area	Standard errora	Asymptotic significanceb	95% CI
BDNF	0.776	0.033	0.000	0.711∼0.841	0.704	0.743	72.4%
AGT	0.203	0.034	0.000	0.138∼0.269	0.776	0.634	70.4%
IGFBP-2	0.707	0.037	0.000	0.635∼0.779	0.673	0.634	65.3%
OPN	0.739	0.035	0.000	0.671∼0.808	0.643	0.723	68.3%
Cathepsin D	0.735	0.035	0.000	0.666∼0.804	0.571	0.762	66.8%
SAP	0.425	0.041	0.067	0.345∼0.504	0.449	0.634	54.3%
Complement C4	0.694	0.038	0.000	0.618∼0.769	0.643	0.644	64.3%
Prealbumin	0.619	0.038	0.004	0.541∼0.697	0.653	0.574	61.3%
Discriminant Score	0.958	0.012	0.000	0.934∼0.982	0.867	0.881	87.4%

^aUnder the non-parametric assumption. ^bNull hypothesis: true area = 0.5.