Table 3.

Metrics of the NETest and CgA.

Test	Sensitivity (%)	Specificity (%)	PPV (%)	NPV (%)
NETest (ULN 14%)	93	56	72	86
NETest (ULN 20%)	89	72	79	84
NETest (ULN 27%)	67	89	87	67
CgA	56	83	87	49

The NETest was compared with CgA for detecting GEP-NETs in 140 patients and 113, respectively, 70 controls. Multigene analysis identified GEP-NETs in 93% (N = 130) compared with 56% (N = 77) with CgA (McNemar: p < 0.001). Specificity was significantly better for CgA (83%) compared to the NETest 56% (McNemar: p < 0.001).

ULN, Upper limit of normal.