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. 2018 Jun 4;15(9):883–891. doi: 10.7150/ijms.23939

Table 5.

Performance of mesothelin and calretinin in women and the probability of a diagnosis of MPM, conditional on the observed biomarker concentrations

Probability
%
Females
Model 1 Model 2 Model 3
Cut off Mesothelin [nmol/L] TPR FPR Cut off Calretinin [ng/mL] TPR FPR Cut off Mesothelin [nmol/L] Cut off Calretinin [ng/mL] TPR FPR
90 3.24 0.42 0 - 0 0 - - 0.33 0
80 - 0.42 0 - 0 0 2.13 3.09 0.50 0
70 - 0.42 0.02 4.98 0.08 0 - - 0.50 0.02
60 1.87 0.58 0.02 3.09 0.17 0 - - 0.58 0.02
50 - 0.58 0.02 - 0.17 0 - - 0.58 0.02
40 1.48 0.58 0.03 1.44 0.25 0 1.35 1.23 0.75 0.02
30 1.35 0.75 0.03 0.97 0.50 0.06 1.21 1.12 0.75 0.05
20 1.14 0.92 0.12 0.49 0.58 0.24 1.05 0.72 0.83 0.09
10 0.90 0.92 0.20 0.23 0.92 0.49 0.90 0.23 0.92 0.20

Probability was used to estimate TPR and FPR: Probability = 1/(1+e^(-φ)). Because of the small number of female cases (12), not for all set probabilities corresponding marker concentrations were available. Logistic regression models: (1) with log-mesothelin as predictor, φ = exp [-1.77 + 3.35 * ln(mesothelin)]; (2) with log-calretinin as predictor, φ = exp [-0.72 + 0.99 * ln(calretinin)]; (3) with log-mesothelin and log-calretinin, φ = exp [-1.36 + 3.08 * ln(mesothelin) + 0.33 * ln(calretinin)]. TPR: true positive rate; FPR: false positive rate