Table 2.

Results of ROC curves built on logistic regression models for possible marker combinations. All models were adjusted for age and sex. Sensitivity and specificity are obtained by applying the cutoff value that corresponds to the point of the ROC curve for which Youden’s index reaches its maximum.

Marker(s) in model	Sensitivity	Specificity	AUC
GC ratio	0.558	0.883	79.4%
TFF2	0.820	0.833	87.2%
LGR5	0.644	0.800	71.4%
DCLK1	0.681	0.846	83.4%
GC ratio + TFF2	0.939	0.789	92.5%
GC ratio + LGR5	0.512	0.923	76.7%
GC ratio + DCLK1	0.761	0.952	92.7%
TFF2 + LGR5	0.868	0.886	89.0%
TFF2 + DCLK1	1.000	0.814	95.0%
DCLK1 + LGR5	0.903	0.778	89.0%
GC ratio + TFF2 + LGR5	0.892	0.853	91.3%
GC ratio + TFF2 + DCLK1	1.000	0.930	99.3%
GC ratio + LGR5 + DCLK1	0.900	0.923	94.2%
TFF2 + LGR5 + DCLK1	0.963	0.917	96.6%
GC ratio + TFF2 + LGR5 + DCLK1	0.889	1.000	98.6%