Table 4 Performance of the Four-Marker Panel and EGF, sCD26, CAL and CEA in the Diagnosis of Lung Cancer.

From: Highly Sensitive Marker Panel for Guidance in Lung Cancer Rapid Diagnostic Units

Training Set

Cut-off

Sn (%)

Sp (%)

PPVa (%)

NPVa (%)

AUC (95% CI)b

Multivariate Algorithm: EGF, sCD26, CAL, CEA

>0.266

97

43

57.6

94.7

0.873 (0.811–0.925)

EGF

>178.48 pg/mL

95

22.2

49.4

84.8

0.698 (0.615–0.773)

sCD26

≤637.2 ng/mL

95

13.9

46.8

77.7

0.711(0.629–0.785)

CAL

>96.37 ng/mL

95

30.6

52.2

88.4

0.759 (0.679–0.827)

CEA

>258.2 pg/mL

95

11.1

46

73.6

0.744 (0.663–0.814)

Clinical Modelc

>0.237

95

26.4

50.8

86.9

0.717 (0.637-0.799)

Validation Set

Multivariate Algorithm: EGF, sCD26, CAL, CEA

>0.266

91.7

45.4

57.3

87.3

0.837 (0.718-0.936)

Clinical Modelc

>0.237

91.7

27.3

50.2

80.5

0.659 (0.488-0.816)

  1. Abbreviations: Sn = Sensitivity, Sp = Specificity, PPV = Predictive Positive Value, NPV = Negative Predictive Value.
  2. aPositive and negative predictive values were estimated assuming a prevalence of lung cancer of 44.4% (QDU of the Pneumology Service of Hospital Álvaro Cunqueiro EOXI Vigo).
  3. bAUC and 95% CI evaluated in the training test is not protected against overfitting.
  4. cClinical model includes gender, age and smoking.