Decision tree model for predicting ovarian tumor malignancy based on clinical markers and preoperative circulating blood cells

Table 2 Single-factor logistic regression analysis of differential variables

Variable	Estimated value	Standard deviation	P-value	OR	Lower limit	Upper limit
Normal information
Age	0.049	0.006	< 0.001	1.051	1.039	1.062
General condition	1.502	0.489	0.002	4.491	1.723	11.708
Course of disease (days)	-0.001	0.000	< 0.001	0.999	0.999	1.000
Imaging indicators
Mass size (BUS)	0.011	0.002	< 0.001	1.011	1.007	1.015
Mass size (MR/CT)	0.005	0.001	< 0.001	1.005	1.003	1.008
Mass locations (BUS)	0.305	0.254	0.230	1.357	0.824	2.232
Mass locations (MR/CT)	0.010	0.225	0.964	1.010	0.650	1.569
Post-menopause	1.529	0.170	< 0.001	4.613	3.308	6.431
Ascites (palpation)	-2.722	0.452	< 0.001	0.066	0.027	0.159
Tumor markers
HE4	0.007	0.001	< 0.001	1.007	1.006	1.009
CA125	0.005	0.001	< 0.001	1.005	1.004	1.007
ROMA_before	0.070	0.006	< 0.001	1.073	1.059	1.086
ROMA_after	0.082	0.007	< 0.001	1.085	1.070	1.101
Red blood cell related indicators
RBC	-1.009	0.197	< 0.001	0.364	0.248	0.537
HGB	-0.035	0.006	< 0.001	0.966	0.955	0.976
HCT	-0.118	0.021	< 0.001	0.889	0.853	0.926
RDW	0.126	0.048	0.009	1.135	1.032	1.248
MCV	-0.014	0.011	0.206	0.986	0.964	1.008
MCH	-0.076	0.028	0.006	0.927	0.878	0.979
MCHC	-0.029	0.007	< 0.001	0.972	0.959	0.985
White blood cell related indicators
WBC	0.167	0.036	< 0.001	1.182	1.101	1.270
NE%	0.091	0.009	< 0.001	1.095	1.076	1.115
NE	0.303	0.043	< 0.001	1.354	1.243	1.474
MO%	0.118	0.04	0.004	1.126	1.040	1.219
MO	3.253	0.544	< 0.001	25.870	8.903	75.178
EO%	-0.136	0.05	0.007	0.873	0.791	0.964
EO	-1.327	0.733	0.070	0.265	0.063	1.117
LY%	-0.115	0.010	< 0.001	0.891	0.874	0.910
LY	-1.618	0.171	< 0.001	0.198	0.142	0.277
Platelet related indicators
PLT	0.009	0.001	< 0.001	1.009	1.007	1.011
MPV	-0.248	0.064	< 0.001	0.780	0.688	0.885

ISSN: 1472-6947