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Table 3 Logistic regression analysis of factors associated with palliative treatment amongst patients that received any treatment (OR > 1 means that the first factor is associated with higher odds of receiving palliative 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

Palliative vs. Definitive Treatment Univariate Analysis Multivariate Analysis
Variable OR 95% CI P-value OR 95% CI P-value
Elderly vs. Non-Elderly 1.37 1.33–1.40 < 0.0001 1.38 1.34–1.42 < 0.0001
Female vs. male 1.10 1.07–1.13 < 0.0001 1.11 1.08–1.14 < 0.0001
White vs. non-white 0.93 0.90–0.97 0.0001 0.91 0.88–0.95 < 0.0001
Academic vs. non-academic 1.01 0.98–1.04 0.4758
Private vs. non-private insurance 0.83 0.80–0.85 < 0.0001 0.92 0.89–0.95 < 0.0001
Median income (≥$48,000 vs. <$48,000) 0.95 0.93–0.98 0.0002 0.98 0.95–1.00 0.0762
County location (Metropolitan vs. non-metropolitan) 1.12 1.08–1.15 < 0.0001 1.11 1.07–1.16 < 0.0001
Clinical stage IIIB vs. stage IIIA 1.73 1.69–1.78 < 0.0001 1.80 1.75–1.84 < 0.0001
Distance to closest facilitya 0.98 0.97–0.99 0.0006 1.01 1.00–1.02 0.0598
Charlson-Deyo score (1 vs. 0) 1.19 1.16–1.23 < 0.0001 1.20 1.17–1.23 < 0.0001
  1. Abbreviations: CI confidence interval, OR odds ratio; alog(distance) was used for analysis