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Table 2 Performance of the model including the 13 selected proteins in discriminating the different pathological conditions in terms of sensitivity and specificity

From: Multiplexed MRM-based proteomics for identification of circulating proteins as biomarkers of cardiovascular damage progression associated with diabetes mellitus

 

NC vs. DN

DC vs. DN

DC vs. NC

AUC

0.95

1.00

0.94

Sensitivity, %

90

100

85

Specificity, %

97

100

90

PPV, %

96

100

91

NPV, %

91

100

84

FDR, %

4

0

9

Probability threshold

0.577

0.994

0.561

  1. AUC: Area under the curve; Sensitivity: [True positives/(True positives + False negatives)]; Specificity: [True negatives/(True negatives + False Positives)]; PPV: positive predictive value or precision, calculated as [True positives/(True positives + False positives)], or (1-FDR); NPV: negative predictive value, calculated as [True negatives/(True negatives + False negatives)]; FDR: False discovery rate, equivalent to [False positives/(False positives + True positives)]