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Page 6 of 11                                                      Wu et al. Hepatoma Res 2018;4:66  I  http://dx.doi.org/10.20517/2394-5079.2018.87


               Table 3. Tumor characteristics and treatments: comparison between females and males
                                                    Females (n = 307)    Males (n = 899)       P-value
               Mean tumor size in cm (SD)              5.3 (4.02)         6.2 (4.58)           0.003
               Tumor > 5 cm                            106 (34.5%)        496 (43.4%)          0.007
               Single tumor                            213 (69.4%)        588 (65.4%)          0.21
               Tumors met Milan criteria               147 (47.9%)        260 (40%)            0.05
               Tumor rupture                           14 (4.5%)          35 (3.9%)            0.62
               Major vascular invasion                 23 (7.5%)          108 (12%)            0.03
               Liver resection                         68 (22.1%)         168 (18.7%)          0.30
               Liver transplantation                   16 (5.2%)          77 (8.6%)            0.06
               %Transplant/met Milan criteria          16/147 (10.9%)     77/260 (29.6%)       < 0.0001


               Table 4. Odds-ratios of factors associated with transplantation (modeled using logistic regression)
               Factor                               Univariate odds ratio (95% CI)  Multivariate odds ratio (95% CI)
               Sex (males vs. females)                  1.71 (0.98-2.97)               1.48 (0.76-2.88)
               Age ( < 65 vs. ≥ 65)                     9.84 (4.052-21.45)             10.21 (3.88-26.99)
               Tumor size                               0.81 (0.49-1.33)
               Hypertension                             0.61 (0.3-0.96)                0.92 (0.55-1.55)
               NAFLD/NASH                               0.66 (0.30-1.45)               4.14 (1.42-12.05)
               Family history of HCC                    1.25 (0.56-2.79)
               Alcohol use                              0.93 (0.60-1.43)
               Smoking                                  0.71 (0.47-1.10)
               Presence of screenable disease           9.91 (3.10-31.61)              11.52 (3.03-43.76)
               Obesity (BMI 30+)                        1.13 (0.68-1.90)
               Education ( ≤ 13 vs. > 13 years)         0.51 (0.33-0.79)               0.63 (0.38-1.05)
               Hepatitis B positive                     0.91 (0.59-1.42)
               Hepatitis C positive                     2.34 (1.52-3.60)               1.55 (0.88-2.76)
               Race (reference = White)
                    Asian                               0.58 (0.36-0.94)               1.09 (0.88-2.76)
                    Hispanic                            0.77 (0.17-3.46)               0.56 (0.07-4.60)
                    Mixed                               0.96 (0.27-3.40)               0.36 (0.04-2.93)
                    Pacific Islander                    0.39 (0.18-0.85)               0.58 (0.25-1.36)
               HCC: hepatocellular cancer; NAFLD: non-alcoholic fatty liver disease; NASH: non-alcoholic steatohepatitis; BMI: body mass index


               Factors associated with transplantation
               Table 4 summarizes differences in factors associated with transplantation. Univariate analysis determined that
               age < 65 years, presence of screenable disease and having HCV were associated with receiving transplant, while
               hypertension, having high school or less education and being of Asian or Pacific Islander ethnicity relative to
               Caucasian ethnicity were associated with lower rates of transplant. Multivariate logistic regression analysis
               determined that age < 60 years, presence of NAFLD/NASH and having a screenable disease were associated
               with transplantation. Factors not significantly associated with transplantation included sex, hypertension,
               educational attainment, HCV infection, or race.

               Survival
               Survival outcomes are displayed in Figure 1. There was no significant difference in survival between males and
               females by the log-rank test (P = 0.69, see Figure 1). Table 5 summarizes the independent predictors of death.
               Multivariate Cox proportional hazards regression showed that NAFLD/NASH was a predictor of death in both
               males and females. Smoking and number of tumors were predictors of death while age less than 65 years, a
               family history of HCC and undergoing liver transplant were predictive of survival in males.


               DISCUSSION
               Gender differences in HBV and HCV may partially explain the male predominance of HCC, however
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