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Table 1 Generalized estimation equation model for predicting cup consistency rate of AI, 3D, and 2D methods

From: Value of 3D preoperative planning for primary total hip arthroplasty based on artificial intelligence technology

Factors

Coefficient

SE

Wald

P value

OR (95%CI)

(Intercept)

0.838

1.162

0.520

0.471

 

AI

Ref

    

3D

− 0.144

0.440

0.108

0.743

0.865 (0.365–2.051)

2D

− 1.63

0.414

15.504

< 0.001

0.196 (0.087–0.441)

Female

Ref

    

Male

− 1.275

0.456

7.831

0.005

0.279 (0.114–0.682)

Left

Ref

    

Right

0.166

0.392

0.179

0.672

1.181 (0.547–2.547)

DDH

Ref

    

Non-DDH

1.550

0.499

9.637

0.002

4.71 (1.771–12.529)

Age (years)

− 0.003

0.013

0.047

0.828

0.997 (0.973–1.023)

BMI (< 18.5)

Ref

    

BMI [18.5–23.9]

0.260

0.683

0.145

0.704

1.297 (0.34–4.95)

BMI [18.5–23.9]

− 0.222

0.737

0.090

0.764

0.801 (0.189–3.4)

BMI (≥ 28)

− 0.653

0.805

0.657

0.418

0.521 (0.107–2.523)