Table 2 Logistic regression analyses for the prediction of the presence of lymph node metastasis by variables of tumor chronology and biology
From: Impact of tumor chronology and tumor biology on lymph node metastasis in breast cancer
Fitted model (N = 3002) | Predictor | Effect | Odds ratio (95% CI) | P-value | AUC (95% CI) |
|---|---|---|---|---|---|
cT | cT | 1 vs 4 | 0.123 (0.058; 0.2610) | <.0001 | 0.6231 (0.6048; 0.6414) |
2 vs 4 | 0.270 (0.128; 0.572) | ||||
3 vs 4 | 0.519 (0.234; 1.152) | ||||
pT | pT | 1 vs 4 | 0.129 (0.050; 0.332) | <.0001 | 0.6700 (0.6522; 0.6877) |
2 vs 4 | 40.352 (0.137; 0.906) | ||||
3 vs 4 | 1.338 (0.501; 3.575) | ||||
LVI | LVI | Yes vs No | 6.782 (5.587; 8.234) | <.0001 | 0.6620 (0.6466; 0.6775) |
Grade | Grade | 1 vs 3 | 0.499 (0.396; 0.630) | <.0001 | 0.5531 (0.5341; 0.5721) |
2 vs 3 | 0.830 (0.710; 0.971) | ||||
ER | ER | Neg vs Pos | 0.975 (0.797; 1.194) | 0.8076 | 0.5016 (0.4885; 0.5148) |
PR | PR | Neg vs Pos | 1.008 (0.854; 1.189) | 0.9248 | 0.5008 (0.4848; 0.5168) |
HER–2 | HER-2 | Neg vs Pos | 0.703 (0.559; 0.884) | 0.0026 | 0.5176 (0.5059; 0.5292) |
grade, ER, PR, HER–2 | 0.5649 (0.5448; 0.5850) | ||||
cT, grade, ER, PR, HER–2 | 0.6406 (0.6206; 0.6606) | ||||
LVI, grade, ER, PR, HER–2 | 0.6852 (0.6657; 0.7047) | ||||
pT, LVI, grade, ER, PR, HER–2 | 0.7462 (0.7279; 0.7645) |