From surface to depth: Combining white-light and ultrasound endoscopy to predict complete response in rectal cancer

Table 6 Univariate and multivariate logistic regression analyses of endoscopic features to predict complete response

Characteristics	Univariate analysis			Multivariate analysis
	OR	95%CI	P value	OR	95%CI	P value
Location
Middle vs proximal	3.678	1.017-13.301	0.047	2.505	0.589-10.655	0.214
Distal vs proximal	5.683	1.409-22.929	0.015	2.792	0.547-14.244	0.217
WLE feature
Near-eCR vs eCR	0.218	0.049-0.963	0.045	0.425	0.079-2.283	0.319
Non-eCR vs eCR	0.036	0.009-0.146	< 0.001	0.140	0.025-0.792	0.026
EUS feature
Partially vs completely restored	0.101	0.020-0.517	0.006	0.219	0.035-1.373	0.105
Mass echo vs completely restored	0.02	0.004-0.106	< 0.001	0.093	0.013-0.658	0.017
Max thickness (EUS2)	0.823	0.711-0.954	0.01	0.969	0.831-1.13	0.691

Reference groups: Proximal (location); endoscopic complete response (white light endoscopy); completely restored (endoscopic ultrasound). OR: Odds ratio; CI: Confidence interval; eCR: Endoscopic complete response; near-eCR: Near-endoscopic complete response; WLE: White light endoscopy; EUS: Endoscopic ultrasound.