Table 2. Predictive model (multiple logistic regression model) according to metastatic status of CRC patients at diagnosis time.

	Infiltrating front
Multiple logistic regression	Variables	p value	B	ExpB	Inferior	Superior
	Grade	0.745	-0.085	0.919	0.552	1.529
	pT	0.005	0.793	2.209	1.270	3.842
	N	0.349	0.203	1.225	0.801	1.871
	FAP(+)/BCAT(N)	0.026	0.857	2.355	1.107	5.011
Final Step of the Wald method	pT	0.001	0.865	2.374	1.396	4.039
	FAP(+)/BCAT(N)	0.022	0.878	2.405	1.132	5.108

Selected independent variables were FAP positive and nuclear BCAT in tumor front, grade, local (pT) and lymph node invasion (N). A stepwise selection procedure (backward Wald method) was used to select the final optimal model. ExpB with confidence interval (CI) is also included. According to the Omnibus test, the model was statistically significant (p=0,002). Hosmer–Lemeshow test (p=0,7). R² Nagelkerke (p=0,1). Statistically significant values are highlighted in bold.