Develop a nomogram to predict overall survival of patients with borderline ovarian tumors

Table 2 Univariate and multivariate Cox analyses of factors associated with borderline ovarian tumors patient overall survival after propensity score matching

Variables	Univariate Cox analysis		Multivariate Cox analysis
	HR (95%CI)	P value	HR (95%CI)	P value
Age	1.1 (1.1-1.2)	3.3e-06	1.180 (1.093730-1.274)	2.04e-05
Surgical type	1 (0.66-1.6)	0.93	2.244 (1.164409-4.325)	0.0157
FIGO stage	3.3e-08 (0-Inf)	1	1.046e-08 (0-Inf)	0.9990
Tumor size	1.6 (0.21-12)	0.65	8.503 (0.006883-10503.344)	0.5557
CA125	1.7 (0.45-6.4)	0.44	1.046 (0.203595-5.370)	0.9574
CA199	1.2 (0.49-3.1)	0.66	2.156 (0.531390-8.746)	0.2823
BMI	1.1 (0.88-1.4)	0.4
Menopausal status	1.9 (0.42-8.4)	0.41
Parity	0.31 (0.056-1.7)	0.19
Adjuvant therapy	0.69 (0.14-3.4)	0.65

BMI: Body mass index; FIGO: Federation International of gynecology and obstetrics.