Table 2.
Study Cohorts | Area Under the ROC Curve Values |
1 Global p-Value |
2p-Value (3 Adjusted p-Value after Bonferroni’s Correction) | |||||
---|---|---|---|---|---|---|---|---|
pGSN | FGF21 | GDF15 | pGSN vs. FGF-21 | pGSN vs. GDF-15 | FGF-21 vs. GDF-15 | |||
All subjects | MD vs. CON |
0.83 (0.75;0.92) |
0.77 (0.68; 0.86) |
0.87 (0.82; 0.94) |
0.1320 | 0.2969 (0.5939) |
0.3919 (0.7838) |
0.0443 (0.0886) |
MD vs. Non-MD | 0.58 (0.47; 0.70) |
0.77 (0.67; 0.87) |
0.76 (0.66; 0.87) |
0.0457 | 0.0227 (0.0455) |
0.0282 (0.0565) |
0.9308 (0.9999) |
|
Non-MD vs. CON |
0.75 (0.64; 0.86) |
0.61 (0.49; 0.74) |
0.57 (0.45; 0.69) |
0.0553 | 0.0981 (0.1961) |
0.0306 (0.0612) |
0.6577 (0.999) |
|
Subjects > 50 yrs old |
MD vs. CON |
0.84 (0.72; 0.96) |
0.74 (0.60; 0.87) |
0.87 (0.76; 0.98) |
0.1921 | 0.2038 (0.4076) |
0.6642 (0.9999) |
0.0871 (0.1742) |
MD vs. Non-MD | 0.49 (0.31; 0.67) |
0.76 (0.61; 0.91) |
0.72 (0.56; 0.88) |
0.0763 | 0.0245 (0.0489) |
0.0760 (0.1521) |
0.6968 (0.9999) |
|
Non-MD vs. CON |
0.79 (0.63; 0.94) |
0.61 (0.43; 0.79) |
0.71 (0.56; 0.87) |
0.3327 | 0.1385 (0.2770) |
0.5132 (0.9999) |
0.4062 (0.8123) |
|
Subjects ≤ 50 yrs old |
MD vs. CON |
0.83 (0.70; 0.94) |
0.82 (0.73; 0.93) |
0.93 (0.88; 0.99) |
0.0979 | 0.8768 (0.9999) |
0.0943 (0.1887) |
0.0953 (0.9999) |
MD vs. Non-MD |
0.67 (0.51; 0.80) |
0.78 (0.63; 0.92) |
0.85 (0.72; 0.98) |
0.2012 | 0.2764 (0.5529) |
0.0738 (0.1476) |
0.4764 (0.9528) |
|
Non-MD vs. CON |
0.69 (0.53; 0.86) |
0.61 (0.43; 0.79) |
0.56 (0.39; 0.74) |
0.4969 | 0.4289 (0.8579) |
0.2805 (0.5610) |
0.7348 (0.9999) |
1 Global p-values of the test of equality of the three ROC areas obtained from applying pGSN, FGF21, and GDF15 to independent cohorts. All classifiers have equal AUC values. 2 p-value and 3 adjusted p-value after Bonferroni’s correction for multiple comparisons obtained from the tests of equality of ROC areas of the indicated biomarkers. Relevant diagnostic AUC values are indicated in bold. Grey background highlights statistically significant differences between biomarkers.