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. 2019 Jun 2;10(14):3133–3139. doi: 10.7150/jca.30335

Table 3.

Multivariable Cox Regression for analyzing the prognosis factors for ovarian cancer with bone metastases.

Subject characteristics Survival, Median (IQR), month HR (95% CI) P-value
Age, years
18-40 4.00(2.91-5.09) Reference 1.00
41-64 7.00(5.14-8.85) 0.73(0.42-1.26) 0.26
≥65 3.00(2.05-3.95) 0.73(0.42-1.25) 0.25
Marital status
Married 7.00(4.73-9.27) Reference 1.00
Unmarried 3.00(2.03-3.97) 1.11(0.82-1.49) 0.49
Unknown NA NA NA
Histology
Serous 18.00(9.13-26.87) Reference 1.00
Non-serous 3.00(1.93-4.08) 1.44(1.01-2.06) 0.046
Unknown NA NA NA
Lung Met
None 6.00(4.04-7.96) Reference 1.00
Yes 3.00(1.48-4.52) 1.15(0.84-1.58) 0.37
Unknown NA NA NA
Liver Met
None 6.00(4.28-7.72) Reference 1.00
Yes 3.00(1.52-4.49) 1.20(0.88-1.64) 0.25
Unknown NA NA NA
Sur(pri)
None 3.00(2.20-3.80) Reference 1.00
Yes 18.00(10.82-25.18) 0.42(0.29-0.61) <0.001
Unknown NA NA NA

Abbreviations: Met=metastases; Sur(pri)=surgical treatments of primary site, NA=Not available, all factors with Unknown data were removed from Cox and Kaplan-Meier model.