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. 2011 Jul 3;102(9):1673–1679. doi: 10.1111/j.1349-7006.2011.01989.x

Table 5.

 Sensitivity and specificity from validation of an algorithm based on combining biomarkers using linear logistic regression

Variables Sensitivity, % Specificity, %
Single‐marker panel
 sMICA 76.5 91.2
 sMICB 76.9 90.6
 UA 39.6 88.0
 CA19‐9 73.5 90.9
Two‐marker panel
 sMICA, sMICB 84.6 92.2
 sMICA, UA 81.3 90.8
 sMICB, UA 72.7 90.2
 sMICA, CA19‐9 87.8 89.4
 sMICB, CA19‐9 84.6 91.9
 CA19‐9, UA 65.2 89.1
Three‐marker panel
 sMICA, sMICB, UA 90.9 93.4
 sMICA, sMICB, CA19‐9 92.3 93.5
 sMICA, UA, CA19‐9 84.8 92.2
 sMICB, UA, CA19‐9 81.8 91.7
Four‐marker panel
 sMICA, sMICB, UA, CA19‐9 94.2 93.3

CA19‐9, cancer antigen 19‐9; sMICA, soluble MHC class I chain‐related molecules A; sMICB, soluble MHC class I chain‐related molecules B; UA, uric acid.