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Table 2 Predictors of sperm in the testicular biopsy and relative effects of gene expression

From: Predicting the testicular function in non-obstructive azoospermia via targeted gene panel

 

Odds ratio (OR) (95% CI)

Rate difference

(95% CI)

P value

Predictors of sperm in the testicular biopsy for non-obstructive azoospermia

 Trend effect of expressed gene on presence of sperm

1.25 (1.14 to 134)

26 (21 to 32)

< 0.0001

 High vs low gene expressiona

5.34 (1.97 to 13.16)

39 (17 to 57)

0.0006

 Moderate vs low gene expressiona

7.04 (1.47 to 24.36)

41 (12 to 65)

0.005

 High vs moderate gene expressiona

0.74

(0.22 to 3.20)

3 (– 25 to 25)

0.82

 Low vs moderate gene expressiona

0.14 (0.04 to 0.65)

– 41 (– 65 to – 11)

0.0051

 Average vs small testicular volumea

0.16 (0.06 to 0.47)

– 39 (– 55 to – 21)

0.0002

 Male age

1.39 (0.92 to 2.17)

7.7 (– 2 to 17)

0.12

 FSH

0.37 (0.20 to 0.65)

– 18 (– 23 to – 10)

0.001

 Testosterone

1.60 (0.90 to 2.82)

12 (– 3 to 22)

0.12

Different effectors on cases with positive sperm in testicular biopsy

 Effect of gene expression level on normal testicular volume

1.52 (0.88 to 2.71)

– 10 (– 21 to 3)

0.15

 Effect of high vs low gene expression on testicular volumea

0.29 (0.07 to 1.96)

– 22 (– 53 to 14)

0.19

 Effect of moderate vs low gene expression on testicular volumea

0.31 (0.05 to 3.11)

– 21 (– 85 to 21)

0.31

 Effect of gene expression on TESE sperm concentration

0.79

(0.42 to 1.41)

– 6

(– 17 to 8)

0.36

 

OR (95% CI): pairwise comparison

Mean ratio (95% CI):

trend detection

 

Male age effect on gene expression

1.00 (0.56 to 1.71)

0.91

(0.21 to 3.9)

0.892

FSH effect on gene expression level

1.07 ( 0.61 to 1.81)

0.77

(0.18 to 3.31)

0.73

Testosterone effect on gene expression level

0.73 (0.42 to 1.24)

2.31

(0.54 to 9.65)

0.25

  1. Data comparisons were by generalized mixed models with bootstrap: logistic regression at oocyte level and Poisson regression at woman level. All analyses were adjusted for age as covariate after standardization
  2. aPairwise comparisons
  3. The effect sizes are summarized as odds ratio and rate difference, with 95% confidence intervals