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. Author manuscript; available in PMC: 2015 Aug 22.
Published in final edited form as: Int J Gynecol Cancer. 2014 May;24(4):670–675. doi: 10.1097/IGC.0000000000000109

Table 2.

Univariate Cox proportional hazards modeling of potential prognostic variables to predict PFS, DSS, and OS.

PFS DSS OS
Variable HR 95% CI p-value HR 95% CI p-value HR 95% CI p-value
Obesity 1.47 0.08-2.71 0.2 1.66 0.57-4.88 0.5 2.08 0.93-4.66 0.07
BMI 1.09 0.85-1.40 0.5 1.29 0.79-2.13 0.3 1.43 1.00-2.07 0.05
History of HRT use 0.77 0.32-1.82 0.5 0.49 0.11-2.18 0.3 0.49 0.14-1.66 0.3
Previous surgery on tubes/ovaries 0.83 0.39-1.77 0.6 1.61 0.51-5.07 0.4 1.47 0.59-3.68 0.4
Previous hysterectomy 0.74 0.36-1.53 0.4 0.75 0.24-2.32 0.6 0.55 0.21-1.45 0.2
History of OCP use 1.77 0.69-4.54 0.2 -- -- -- -- -- --
Smoking 0.75 0.34-1.68 0.5 0.24 0.03-1.83 0.2 0.50 0.15-1.67 0.3
Residual disease 1.73 1.09-2.76 0.02 1.04 0.51-2.12 0.9 0.92 0.51-1.65 0.8
Optimal tumor debulking 0.29 0.11-0.77 0.01 0.08 0.01-0.74 0.03 0.05 0.01-0.23 <0.001
Caucasian race 1.16 0.56-2.41 0.7 0.62 0.20-1.94 0.4 0.71 0.29-1.77 0.5
Parity 1.09 0.93-1.29 0.3 1.26 0.91-1.75 0.2 1.21 0.92-1.58 0.2
Family history of ovarian cancer 1.01 0.56-1.81 1.0 1.59 0.59-4.31 0.4 -- -- --
Age at diagnosis 1.02 0.94-1.11 0.7 1.02 0.90-1.17 0.7 1.60 0.74-3.48 0.2