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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: Ann Surg Oncol. 2020 Sep 18;28(4):2146–2154. doi: 10.1245/s10434-020-09024-1

TABLE 3.

Logistic regression identifying factors associated with receipt of multimodal therapy versus non-standard therapy among cN3c patients, National Cancer Data Base 2004–2014 (N = 1480; events = 1122)

OR (95% CI) p value Overall p value
Age 0.96 (0.95–0.97) < 0.001 < 0.001
CDCC score
 0 -REF-    0.13
 1 0.73 (0.53–1.01)    0.06
 ≥ 2 0.70 (0.37–1.35)    0.29
ER
 Positive -REF-    0.39
 Negative 1.16 (0.82–1.65)    0.39
PR
 Positive -REF-    0.71
 Negative 0.93 (0.65–1.34)    0.71
Histology
 Invasive lobular -REF-    0.17
 Invasive ductal 0.77 (0.53–1.13)    0.18
Facility type
 Academic -REF-    0.03
 Community 0.97 (0.55–1.71)    0.92
 Comprehensive 1.53 (1.11–2.10)    0.009
 Integrated network 1.53 (0.97–2.40)    0.07
Facility location
 West -REF-    0.20
 Midwest 1.24 (0.85–1.83)    0.27
 Northeast 0.85 (0.56–1.29)    0.45
 South 0.94 (0.64–1.37)    0.74
Hospital volume
 Low-volume -REF-    0.77
 Moderate-volume 0.99 (0.68–1.43)    0.95
 High-volume 1.11 (0.75–1.64)    0.62
Income
 ≥ 35,000 -REF-    0.06
 < 35,000 0.77 (0.59–1.01)    0.06
Insurance
 Not insured -REF- < 0.001
 Government 1.83 (1.04–3.24)    0.04
 Private 2.81 (1.64–4.82) < 0.001

The model has accounted for the correlation of patients treated at the same hospital