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Table 4 Logistic regression analysis between sufficient resection margin rate and clinical characteristics

From: Comparative study of geometric localization technique and CT-guided percutaneous localization technique for peripheral GGO in wedge resection: a randomized controlled trial

 

Univariate logistic regression analysis

Multivariate logistic regression analysis

OR

95% CI

P value

OR

95% CI

P value

Age

0.977

0.948, 1.007

0.136

0.994

0.958, 1.032

0.770

Gender (Female vs. Male)

0.380

0.179, 0.804

0.011

0.239

0.099, 0.579

0.002

Body mass index

0.943

0.843, 1.055

0.305

   

Smoking (Yes vs. No)

1.725

0.739, 4.024

0.207

   

Family history of lung cancer (yes vs. no)

0.651

0.150, 20,831

0.567

   

GGO location

-

-

0.391

   

GGO type (mixed GGO vs. pure GGO)

7.250

0.974, 53.979

0.053

6.769

0.829, 55.227

0.074

GGO size

0.856

0.767, 1.957

0.006

0.864

0.758, 0.984

0.028

GGO depth

0.915

0.874, 0.957

 < 0.001

0.908

0.861, 0.957

 < 0.001

Localization technique (GLT vs. CPLT)

33.247

4.488, 246.297

 < 0.001

40.809

5.357, 310.855

 < 0.001

Surgeons’ experience

-

-

0.979

   

Pathological results

-

-

0.645

   
  1. OR Odds ratio, CI Confidence interval, GGO ground glass opacity, GLT Geometric localization technique, CPLT CT-guided percutaneous localization technique