Hierarchical regression modelling of adenoma detection
| (1) Unadjusted model | ||
| Sensitivity | 76.1% | (72.8% to 79.1%) |
| Specificity | 77.5% | (71.0% to 82.8%) |
| Sensitivity (%) | (95% CI) | |
| (2) Model adjusted by polyp characteristics and combinations | ||
| None | 6.5 | (3.6% to 11.2%) |
| T | 60.0 | (31.5% to 83.0% |
| O | 68.0 | (44.5% to 85.0%) |
| B | 56.8 | (33.2% to 77.7%) |
| OB | 94.9 | (80.8% to 98.8%) |
| TO | 96.7 | (76.0% to 99.6%) |
| TB | 97.3 | (80.3% to 99.7%) |
| TOB | 99.9 | (97.8% to 100.0%) |
| (3) Model adjusted by number of polyp characteristics* | ||
| None | 6.5 | (3.6% to 11.4%) |
| 1 of TOB | 62.3 | (42.7% to 78.6%) |
| 2 of TOB | 96.3 | (88.5% to 98.9%) |
| 3 of TOB | 99.9 | (97.9% to 100.0%) |
Hierarchical regression models of polyps nested within patients (see Methods section).
Polyp categories:
None denotes a polyp without T, O or B observed.
T=Thick brown vessels surrounding white structures.
O=Oval, tubular or branched white structures surrounded by brown vessels.
B=Browner relative to background.
*Model 3 was rerun with two or three polyp characteristics combined giving a test sensitivity of 99.4% (95% CI 98.2% to 99.8%) when two or more characteristics were present.