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Table 2 Logistic regression analysis of factors associated with not receiving treatment (OR > 1 means first factor is associated with a higher odds of not receiving treatment)

From: Identifying patterns of care for elderly patients with non-surgically treated stage III non-small cell lung cancer: an analysis of the national cancer database

No Treatment vs. Treatment Univariate Analysis Multivariate Analysis
Variable OR 95% CI P-value OR 95% CI P-value
Elderly vs. Non-Elderly 2.13 2.07–2.20 < 0.0001 1.97 1.90–2.03 < 0.0001
Female vs. male 1.13 1.10–1.17 < 0.0001 1.13 1.09–1.16 < 0.0001
White vs. non-white 0.91 0.87–0.95 < 0.0001 0.84 0.80–0.87 < 0.0001
Academic vs. non-academic 0.93 0.90–0.96 < 0.0001 0.98 0.94–1.01 0.1751
Private vs. non-private insurance 0.56 0.54–0.58 < 0.0001 0.77 0.75–0.81 < 0.0001
Median income (≥$48,000 vs. <$48,000) 1.07 1.04–1.10 < 0.0001 1.06 1.03–1.10 0.0002
County location (Metropolitan vs. non-metropolitan) 1.03 0.99–1.07 0.1080
Clinical stage IIIB vs. stage IIIA 0.97 0.94–1.00 0.0406 1.02 0.99–1.05 0.2312
Distance to closest facilitya 0.98 0.97–0.99 0.0006 1.01 1.00–1.02 0.1479
Charlson-Deyo score (1 vs. 0) 1.40 1.35–1.44 < 0.0001 1.33 1.29–1.37 < 0.0001
  1. Abbreviations: CI confidence interval, OR odds ratio; alog(distance) was used for analysis