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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