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. 2020 Jan 3;27:13. doi: 10.1186/s12929-019-0599-5

Table 1.

Multiparametric logistic regression analysis to express the relationship of classification by the combined BPA/UPA proteomic test with demographic and clinical variables for the prediction of overall survival within the first year of clinical follow-up after proteomic analysis. The regression coefficient in the table expresses the amount of change in the logit function related to one unit change in the predictor

Independent variable Regression coefficient Standard error Significance level P Odds ratio (95% CI)
BPA/UPA match 0.5170 0.2240 0.02 1.68 (1.08–2.60)
Age (year) 0.0056 0.0351 0.87 1.01 (0.94–1.08)
Gender (female = 0, male = 1) −0.1811 1.1347 0.87 0.83 (0.09–7.71)
Alkaline phosphatase (U/L) −0.0117 0.0065 0.07 0.99 (0.98–1.00)
γ-Glutamyltransferase (U/L) 0.0017 0.0016 0.31 1.00 (1.00–1.00)
Bilirubin (μmol/L) −0.0088 0.0089 0.33 0.99 (0.97–1.01)
Leucocyte count (N) 0.00026 0.00017 0.12 1.00 (1.00–1.00)
C-reactive protein (mg/L) 0.0134 0.0103 0.20 1.01 (0.99–1.03)
Alanine aminotransferase (U/L) −0.0071 0.0159 0.66 0.99 (0.96–1.02)
Aspartate aminotransferase (U/L) 0.0202 0.0249 0.42 1.02 (0.97–1.07)
Carbohydrate antigen 19–9 (kU/L) 0.000046 0.000092 0.62 1.00 (1.00–1.00)