Skip to main content

Table 4 Univariable and multivariable Cox regression analyses for prognostic factors

From: Incidence and survival analyses for occult lung cancer between 2004 and 2015: a population-based study

 

N

5-year CSS

Univariable analysis

Multivariable analysis

HR

P-Value

HR

95% CI

P-Value

T classification

   

< 0.001

  

< 0.001

T1a

1752

75%

1

 

1

reference

 

T1b

9439

67%

1.230

< 0.001

1.113

1.010–1.227

0.030

T1c

8412

56%

1.788

< 0.001

1.379

1.252–1.519

< 0.001

T2a

11,509

47%

2.345

< 0.001

1.889

1.719–2.076

< 0.001

T2b

3784

37%

3.079

< 0.001

2.172

1.964–2.402

< 0.001

T3

4180

31%

3.759

< 0.001

2.510

2.273–2.772

< 0.001

T4

11,043

19%

5.555

< 0.001

3.178

2.892–3.493

< 0.001

Tx (occult)

2353

15%

6.344

< 0.001

2.624

2.365–2.910

< 0.001

Subgroup comparison

 Tx vs. T2b

2.020

< 0.001

1.186

1.104–1.273

< 0.001

 Tx vs. T3

1.648

< 0.001

1.054

0.986–1.127

0.121

 Tx vs. T4

1.127

< 0.001

0.845

0.801–0.891

< 0.001

  1. HR hazard ratio, CI confidence interval
  2. Cox regression’s method was Enter selection
  3. The results of multivariable analysis were adjusted for other confounding factors, such as sex, age, tumor differentiation, radiotherapy, chemotherapy, surgical treatment, histological subtypes, marital status, tumor location and race/ ethnicity