Clinical decision support for precolonoscopy cancer triage: A rule-out-oriented machine learning model for colorectal cancer risk

Table 1 Demographics and colonoscopy findings, n (%)

Variable	Overall (n = 1604)	Malignancy+ (n = 23)	Malignancy- (n = 1581)
Demographics
Age, years, median (IQR)	61 (51-70)	67 (60-74)	61 (51-70)
Male	774 (48.3)	13 (56.5)	761 (48.1)
Female	830 (51.7)	10 (43.5)	820 (51.9)
Colonoscopy findings1
Polyp present	523 (32.6)	-	-
Malignancy present	23 (1.4)	-	-
Diverticulosis	52 (3.2)	-	-
Benign ulcer	33 (2.1)	-	-
Normal colonoscopy	995 (62.0)	-	-
Among polyp-positive patients (n = 523)
Adenoma present	365 (69.8)	-	-

¹Colonoscopy findings are not mutually exclusive; 30 patients had ≥ 2 concurrent findings. Eight patients had non-standard findings (operated colon, ulcerative colitis in remission, or unrecorded) and were retained with malignancy = 0. Adenoma percentage is calculated among the 523 polyp-positive patients, not the full cohort. IQR: Interquartile range.