Non-small cell lung cancer in ever-smokers vs never-smokers

Table 6 Primary outcome variables regression models (n = 155)

Outcome variable	Regression model^a	Relative risk^b (ever-smoker (S):never-smoker (NS))
10-year all-cause mortality		Deaths: S: 44/88 (50%) NS: 29/67 (43%)
10-year all-cause mortality	Cox	HR = 1.77, 95% CI (1.10, 2.86), p = 0.02
5-year all-cause mortality		Deaths: S: 35/88 (40%) NS: 19/67 (28%)
5-year all-cause mortality	Cox	HR = 1.73, 95% CI (0.99, 3.02), p = 0.056
1-year all-cause mortality		Deaths: S: 12/88 (14%) NS: 9/67 (13%)
1-year all-cause mortality	Cox	HR = 1.06, 95% CI (0.45, 2.51), p = 0.90
12-month disease progression		Disease progression or death S: 37/88 (42%) NS: 23/67 (34%)
12-month disease progression	Cox	HR = 1.33, 95% CI (0.79, 2.25), p = 0.28
12-month disease progression		Disease progression or death rates (cases/person months) S: 37/897 (0.04) NS: 23/730 (0.03)
12-month disease progression	Poisson	RR = 1.31, 95% CI (0.78, 2.20), p = 0.31

^aIn each multivariable model, the potential confounders (sex, age in years, and history of chronic kidney disease) all dropped out, leaving just smoking status, so multivariable and univariable models are identical
^bHazard ratio (HR), rate ratio (RR) modeling cases/(person-time)—both are estimates of relative risk

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