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. Author manuscript; available in PMC: 2017 Jan 27.
Published in final edited form as: Ann Surg Oncol. 2015 Apr 24;22(13):4270–4279. doi: 10.1245/s10434-015-4547-7

Table 2.

Multivariate logistic regression analysis of predictors of positive SLN findings

POSITIVE SLN FINDINGS

Factor N OR (95% CI) P value
Biopsy method   0.007
 Percutaneous (Ref) 975 1.00
 Excisional 259 1.90 (1.20–3.01)   0.007

Papillary histologic subtype   0.006
 No (Ref) 905 1.00
 Yes 329 1.77 (1.18–2.67)   0.006

DCIS size >2 cm a   0.030
 No (Ref) 602 1.00
 Yes 632 1.55 (1.04–2.31)   0.030

Total no. of interventions b   0.001
 1–2 (Ref) 681 1.00
 3 384 1.43 (0.93–2.22)   0.107
 4 112 2.04 (1.11–3.75)   0.022
 ≥5 57 3.87 (1.88–7.95) <0.001

Final pathologic diagnosis <0.001
 Pure DCIS (Ref) 907 1.00
 Microinvasive cancer 68 3.44 (1.66–7.12)   0.001
 Invasive cancer 259 6.21 (4.08–9.45) <0.001

ISOLATED TUMOR CELLS c

Biopsy method   0.001
 Percutaneous (Ref) 920 1.00
 Excisional 248 2.55 (1.46–4.44)   0.004

DCIS size >2 cm   0.002
 No (Ref) 573 1.00
 Yes 595 2.38 (1.37–4.16)   0.001

Total no. of interventions <0.001
 1–2 (Ref) 646 1.00
 3 367 2.82 (1.54–5.14)   0.001
 4 101 2.65 (1.12–6.32)   0.027
 ≥ 5 54 7.62 (3.27–17.74) <0.001

Final pathologic diagnosis   0.047
 Pure DCIS (Ref) 895 1.00
 Microinvasive cancer 63 2.28 (0.90–5.79)   0.084
 Invasive cancer 210 1.95 (1.04–3.66)   0.037

METASTASES c

Papillary histologic subtype   0.008
 No (Ref) 866 1.00
 Yes 302 2.11 (1.21–3.66)   0.008

Final pathologic diagnosis <0.001
 Pure DCIS (Ref) 863 1.00
 Microinvasive cancer 62 6.37 (2.16–18.78)   0.001
 Invasive cancer 243 18.30 (9.52–35.16) <0.001

DCIS, ductal carcinoma in situ; OR, odds ratio; no., number; SLN, sentinel lymph node; SLND, sentinel lymph node dissection.

a

We chose to use the preoperative categorical variable rather than the postoperative continuous variable to go into the final regression model.

b

We chose to use total number of interventions rather than total number of biopsies and total number of surgeries in the final model as the first variable is a composite of the other two.

c

Only variables found to be predictive of positive SLN findings were chosen for entry into the models for isolated tumor cells and metastases to determine their individual contributions.