Table 3. Outcomes of multilevel logistic regression analysis to find predictors for accurate endoscopic prediction of histology.
Predictors |
Univariate logistic regression odds ratio
(95 % CI) |
P | Multivariate logistic regression odds ratio (95 % CI) | P |
Confidence level | ||||
|
Reference | Reference | ||
|
3.02 (1.20–7.59) | 0.02 | 2.25 (1.13–4.42) | 0.02 |
Polyp location | ||||
|
Reference | Reference | ||
|
0.53 (0.21–1.34) | 0.29 | 0.87 (0.49–1.52) | 0.55 |
Polyp size, mm | ||||
|
Reference | Reference | ||
|
1.97 (0.79–4.96) | 0.15 | 1.08 (0.59–2.04) | 0.81 |
Polyp block 1 | ||||
|
Reference | |||
|
0.90 (0.36–2.25) | 0.89 | ||
|
0.98 (0.41–2.34) | 0.98 | ||
Morphology | ||||
|
Reference | |||
|
0.93 (0.37–2.33) | 0.85 |
Polyp block was defined as the number of polyps an endoscopist had endoscopically characterized during the study.
Polypoid was defined as Paris classification Ip, Isp and Is.
Non-polypoid was defined as Paris classification IIa and IIb