Table 1 The patient’s demographic data.

From: Pre-operative simulation using a three-dimensional printing model for surgical treatment of old and complex tibial plateau fractures

  

Conventional planning group (n = 22)

Planning with 3D printing group (n = 20)

P-value

Gender, n (%)

   

0.461a

 

Male

13 (59.09)

14 (70.00)

 
 

Female

9 (40.91)

6 (30.00)

 

BMI (kg/m2), M ± SD

 

25.02 ± 1.72

24.96 ± 2.03

0.929b

Age (year), M ± SD

 

43.00 ± 7.86

42.85 ± 7.71

0.95b

Side of injury, n (%)

   

0.721a

 

Right

12 (54.55)

12 (60.00)

 
 

Left

10 (45.45)

8 (40.00)

 

Cause of imjury, n (%)

   

0.985a

 

Falling from height

9 (40.91)

8 (40.00)

 
 

Traffic accident

8 (36.36)

7 (35.00)

 
 

Other

5 (22.73)

5 (25.00)

 

Time from admission to hospital to surgery (day), M ± SD

 

26.91 ± 5.65

24.65 ± 4.39

0.207c

Schatzker classification, n (%)

   

0.647a

 

IV

9 (40.91)

6 (30.00)

 
 

V

6 (27.27)

8 (40.00)

 
 

VI

7 (31.82)

6 (30.00)

 

No. of post. column plate, n (%)

   

0.382a

 

0

6 (27.27)

8 (40.00)

 
 

1

16 (72.73)

12 (60.00)

 

No. of med. column plate, n (%)

1

22 (100)

20 (100)

n/a

No. of lat. column plate, n (%)

   

0.461a

 

0

9 (40.91)

6 (30.00)

 
 

1

13 (59.09)

14 (70.00)

 

Approach method, n (%)

   

0.382a

 

Antero-middle

6 (27.27)

8 (40.00)

 
 

Antero-middle + posteromedial

16 (72.73)

12 (60.00)

 

Follow-up time (month), M ± SD

 

23.45 ± 8.28

25.40 ± 6.87

0.308c

  1. achi-squared test, bIndependent t test, cMann-Whitney test. M ± SD: mean ± standard deviation; n/a: not applicable; post.: posterior; med.: medial; lat.: lateral; No.: number; n: patient number.