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Table 1 Characteristics of highly myopic eyes in the training dataset, and the internal and external test datasets

From: The Zhu-Lu formula: a machine learning-based intraocular lens power calculation formula for highly myopic eyes

Characteristics

Training dataset (n = 1462)

Internal test dataset

(n = 361)

External test dataset

(n = 150)

P value

Eye laterality (right/left)

756/706

186/175

78/72

0.736

Gender (male/female)

687/775

157/204

71/79

0.801

AL (mm)

   

0.517

 Mean ± SD

29.18 ± 2.19

29.21 ± 2.06

29.01 ± 2.09

 

 Range

26.01–37.45

26.28–34.29

26.02–34.97

 

AL subgroups

   

0.464

 26.00–28.00 mm

536 (36.66%)

123 (34.07%)

54 (36.00%)

 

 28.00–30.00 mm

423 (28.93%)

118 (32.69%)

51 (34.00%)

 

 ≥ 30.00 mm

503 (34.40%)

120 (33.24%)

45 (30.00%)

 

Flattest K value (D)

43.30 ± 1.51

43.24 ± 1.56

43.55 ± 1.55

0.107

Steepest K value (D)

44.32 ± 1.61

44.29 ± 1.60

44.58 ± 1.61

0.141

ACD (mm)

3.42 ± 0.34

3.43 ± 0.34

3.42 ± 0.37

0.93

LT (mm)

4.44 ± 0.39

4.44 ± 0.40

4.38 ± 0.43

0.201

CD (mm)

11.75 ± 0.42

11.77 ± 0.46

11.77 ± 0.40

0.609

IOL power (D)

9.28 ± 5.05

9.31 ± 4.87

9.31 ± 4.41

0.941

Postop-BCVA (logMAR)

0.05 ± 0.03

0.04 ± 0.03

0.03 ± 0.04

0.837

  1. AL = axial length; SD = standard deviation; D = diopter; ACD = anterior chamber depth; LT = lens thickness; CD = horizontal corneal diameter; IOL = intraocular lens; Postop-BCVA = postoperative best-corrected visual acuity; logMAR = logarithm of the minimal angle of resolution