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. Author manuscript; available in PMC: 2020 Oct 1.
Published in final edited form as: Ann Surg Oncol. 2019 Jul 24;26(10):3124–3132. doi: 10.1245/s10434-019-07556-9

TABLE 3.

Logistic regression predicting radiation receipt for patients undergoing lumpectomy (N = 89,580; events = 59,331) for select women with breast cancer in the SEER database from 2004–2015

OR (95% CI) p value Overall p value
Diagnosis < 0.001
 DCISM -REF-
 DCIS 0.57 (0.52–0.63) < 0.001
 T1a IDC 1.04 (0.94–1.15) 0.40
Grade < 0.001
 1 -REF-
 2 1.27 (1.22–1.32) < 0.001
 3 2.03 (1.94–2.13) < 0.001
 Unknown 1.03 (0.98–1.09) 0.21
ER status < 0.001
 Positive -REF-
 Negative/borderline 1.03 (0.97–1.10) 0.35
 Unknown 0.55 (0.51–0.59) < 0.001
PR status < 0.001
 Positive -REF-
 Negative/borderline 1.12 (1.07–1.18) < 0.001
 Unknown 0.81 (0.75–0.87) < 0.001
HER2 status < 0.001
 Positive -REF-
 Negative/borderline 1.20 (1.09–1.32) < 0.001
 Unknown 0.99 (0.70–1.08) 0.77
 Diagnosed before 2010* 1.18 (1.07–1.29) < 0.001

Patients with unknown radiation receipt were combined with those not receiving radiation therapy. Model adjusted for patient age, race/ethnicity, insurance status, and history of other cancers. DCIS ductal carcinoma in situ; DCISM DCIS with microinvasion; IDC invasive ductal carcinoma; ER estrogen receptor; PR progesterone receptor; HER2 human-epidermal-growth-factor-receptor-2

*

Patients diagnosed before 2010 did not routinely have HER2 status reported in the database