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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)