Table 4.
Sensitivity, specificity, AUC & accuracy of miRNA panels for “All neoplasia” vs. “control”, “CR neoplasia” vs. “Other cancers” and “CRC” vs. “CAA” in the “Validation” cohort.
| Comparison | Analysis Method* | Sensitivity (95% CI) | Specificity (95% CI) | AUC (95% CI) | Accuracy (95% CI) | Accuracy Range (%) |
|---|---|---|---|---|---|---|
| All neoplasia vs. Controls (n=125 vs. 25) | NorUnEqual | 81.6 (73.8–87.5) | 32.0 (17.1–51.7) | 0.62 (0.50–0.74) | 73.3 (65.7–79.8) | 68.7 – 77.3 |
| KDEEqual | 85.6 (78.3–90.8) | 36.0 (20.2–55.6) | 77.3 (70.0–83.3) | |||
| KNN7 | 72.0 (63.5–79.2) | 52.0 (33.5–70.0) | 68.7 (60.8–75.6) | |||
| Multivariable | 84.0 (76.5–89.5) | 28.0 (14.1–47.8) | 74.7 (67.1–81.0) | |||
| CR Neoplasia vs. Other cancers (n=50 vs. 75) | NorUnEqual | 69.4 (55.4–80.6) | 80.0 (69.5–87.6) | 0.76 (0.68–0.84) | 75.8 (67.5–82.5) | 66.9 – 75.8 |
| KDEEqual | 63.3 (49.2–75.4) | 80.0 (69.5–87.6) | 73.4 (65.0–80.4) | |||
| KNN7 | 63.3 (49.2–75.4) | 77.3 (66.6–85.4) | 71.8 (63.3–79.0) | |||
| Multivariable | 65.3 (51.3–77.1) | 68.0 (56.8–77.5) | 66.9 (58.2–74.6) | |||
| CRC vs. CAA (n=25 vs. 25) | NorUnEqual | 76.0 (56.2–88.8) | 100.0 (84.2–100.0) | 0.98 (0.94–1.0) | 88.0 (75.8–94.8) | 86.0 – 90.0 |
| KDEEqual | 72.0 (52.2–85.9) | 100.0 (84.2–100.0) | 86.0 (73.5–93.4) | |||
| KNN7 | 80.0 (60.4–91.6) | 100.0 (84.2–100.0) | 90.0 (78.2–96.1) | |||
| Multivariable | 80.0 (60.4–91.6) | 100.0 (84.2–100.0) | 90.0 (78.2–96.1) |
*
NorUnEqual: Normal-theory method with Unequal Variance assuming unequal variances in the two groups; KDEEqual: Kernel Density Estimates with Equal Bandwidth using Normal kernel in the density estimation with Equal Bandwidth; KNN7: k-Nearest Neighbors method using 7 neighbors; Multivariable: Multivariable logistic model.