Impact of a colorectal cancer screening program implantation on delays and prognosis of non-screening detected colorectal cancer

Table 1 Characteristics of the patients included

	Pre-implantation cohort (n = 322)	Post-implantation cohort (n = 285)	P value1
Sex			0.1
Male	184 (57.1%)	178 (62.5%)
Female	138 (42.9%)	107 (37.5%)
Age (yr)	74.1 ± 11.8	74.8 ± 11.1	0.4
Colorectal location			0.8
Distal to splenic	221 (68.6%)	197 (69.1%)
Proximal to splenic	101 (31.4%)	88 (30.9%)
TNM
I	45 (14.0%)	47 (16.5%)
II	93 (26.9%)	71 (24.9%)
III	101 (31.4%)	99 (34.7%)	0.5
IV	65 (20.2%)	57 (20.0%)
Unknown	18 (5.6%)	11 (3.9%)
Rural/Urban
Rural	218 (67.9%)	195 (68.4%)	0.8
Urban	103 (32.1%)	90 (31.6%)
Initial consultation
Primary healthcare	281 (87.3%)	241 (84.6%)
Secondar y healthcare	33 (10.2%)	37 (13.0%)	0.5
Emergency department	8 (2.5%)	7 (2.5%)
Hospitalization
Yes	135 (41.9%)	114 (40.0%)	0.6
No	187 (52.2%)	171 (60.0%)
Colonoscopy request
Primary healthcare	82 (25.5%)	102 (35.8%)
Secondary healthcare			0.04
After referral	160 (49.7%)	116 (40.7%)
Direct request	45 (14.0%)	40 (14.0%)
No colonoscopy	35 (10.9%)	27 (9.5%)

¹Statistical significance in the univariate analysis using the Chi-square test for qualitative variables and the Student t test for quantitative variables.