Skip to main content
. 2023 May 12;14:1084927. doi: 10.3389/fendo.2023.1084927

Table 2.

Binary logistic regression analysis on reproductive outcomes.

Reproductive outcome variable P ORs 95% C.I.
Lower Upper
Clinical pregnancy GnRH protocol
antagonist 1.000
agonist 0.845 1.064 0.573 1.976
ovarian reserve 0.039
DOR 1.000
NOR 0.164 1.544 0.837 2.849
HOR 0.013 2.276 1.190 4.352
Type of endometriosis 0.875
endometriosis cysts 1.000
adenomyosis 0.724 0.879 0.430 1.797
co-occurrence 0.728 1.189 0.447 3.162
Constant 0.791 0.919
Live birth GnRH protocol
antagonist 1.000
agonist 0.296 1.396 0.746 2.610
ovarian reserve 0.007
DOR 1.000
NOR 0.031 2.004 1.068 3.763
HOR 0.002 2.874 1.489 5.547
Type of endometriosis 0.977
endometriosis cysts 1.000
adenomyosis 0.925 0.966 0.471 1.983
co-occurrence 0.851 1.096 0.422 2.849
Constant 0.008 0.411
Cumulative pregnancy GnRH protocol
antagonist 1.000
agonist 0.215 1.546 0.777 3.078
ovarian reserve 0.111
DOR 1.000
NOR 0.148 1.664 0.835 3.315
HOR 0.037 2.225 1.051 4.709
Type of endometriosis 0.138
endometriosis cysts 1.000
adenomyosis 0.047 0.463 0.217 0.989
co-occurrence 0.844 0.890 0.278 2.847
Constant 0.068 1.860
Cumulative live birth GnRH protocol
antagonist 1.000
agonist 0.075 1.780 0.943 3.358
ovarian reserve 0.065
DOR 1.000
NOR 0.144 1.609 0.850 3.045
HOR 0.020 2.266 1.140 4.507
Type of endometriosis 0.179
endometriosis cysts 1.000
adenomyosis 0.067 0.507 0.245 1.049
co-occurrence 0.638 0.782 0.281 2.178
Constant 0.826 1.073

Odds ratios (ORs) and 95% confidence intervals (CIs) are based on the logistic regression analysis. OR and P value for ovarian reserve, GnRH protocol, and type of endometriosis using a binary logistic regression analysis for each reproductive outcome. P<0.05 was considered statistically significant. DOR, diminished ovarian reserve; NOR, normal ovarian reserve; HOR, high ovarian reserve.