[Evolutionary and prognostic studies of patients with primary liver cancer. II. Multifactorial analysis using a stepped-regression mathematical model and graphics].

The subject of this study is the evolution and prognosis of 63 patients with primary liver carcinoma assessed bu multifactor regression mathematical model realized with the aid of the program 2R of the statistical package VMDR and by graphic expression of the functions of survival, mortality, speed of mortality function growth and graphic assessment of survival according to Okuda's method. The step regression analysis in 2 steps of the regression mathematical model of the clinical indices pointed out the factors age, edema and liver encephalopathy. By 7 steps in the regression mathematical model of the combined clinical and clinico-chemical indices as basic prognostic factors were selected: prothrombin time, liver encephalopathy, direct bilirubin, age, GGTP and sex.