| Literature DB >> 29359018 |
Lindsay Sobotka1, Alice Hinton2, Lanla Conteh3.
Abstract
AIM: To evaluate disparities in the treatment of hepatocellular carcinoma (HCC) based on gender.Entities:
Keywords: Ablation; Gender disparities; Hepatocellular carcinoma; Liver resection; Liver transplantation
Year: 2017 PMID: 29359018 PMCID: PMC5756724 DOI: 10.4254/wjh.v9.i36.1346
Source DB: PubMed Journal: World J Hepatol
Demographic and clinical parameters in patients with hepatocellular carcinoma grouped by gender between 2010 and 2013
| Age (yr) | < 0.001 | ||||
| ≤ 64 | 28784 | 62.70 | 7847 | 47.06 | |
| 65-79 | 13683 | 29.81 | 6226 | 37.34 | |
| ≥ 80 | 3441 | 7.50 | 2602 | 15.60 | |
| Race | 0.865 | ||||
| Caucasian | 23845 | 51.94 | 8583 | 51.47 | |
| African-American | 7172 | 15.62 | 2554 | 15.32 | |
| Hispanic | 6572 | 14.32 | 2416 | 14.49 | |
| Asian | 3660 | 7.97 | 1316 | 7.89 | |
| Others/unknown | 4658 | 10.15 | 1806 | 10.83 | |
| Primary payer | < 0.001 | ||||
| Medicare | 18592 | 40.50 | 8803 | 52.79 | |
| Medicaid | 9198 | 20.04 | 2426 | 14.55 | |
| Private insurance | 12757 | 27.79 | 4139 | 24.82 | |
| Self-pay | 2771 | 6.04 | 695 | 4.17 | |
| No charges | 319 | 0.70 | 76 | 0.46 | |
| Unknown/other | 2270 | 4.95 | 535 | 3.21 | |
| Geographic region | 0.006 | ||||
| Northeast | 10910 | 23.77 | 3643 | 21.85 | |
| Midwest | 7929 | 17.27 | 3311 | 19.86 | |
| South | 16808 | 36.61 | 5961 | 35.75 | |
| West | 10261 | 22.35 | 3759 | 22.54 | |
| Hepatitis C | 8449 | 18.40 | 2359 | 14.15 | < 0.001 |
| Hepatitis B | 2839 | 6.18 | 580 | 3.48 | < 0.001 |
| Alcohol | 9102 | 19.83 | 923 | 5.53 | < 0.001 |
| NASH | 15935 | 34.71 | 6044 | 36.24 | 0.126 |
| Primary sclerosing cholangitis | 394 | 0.86 | 188 | 1.13 | 0.171 |
| Primary biliary cirrhosis | 51 | 0.11 | 123 | 0.74 | < 0.001 |
| Autoimmune | 50 | 0.11 | 136 | 0.81 | < 0.001 |
| Other | 17124 | 37.30 | 8542 | 51.23 | < 0.001 |
| Liver decompensation Features | < 0.001 | ||||
| Zero | 24826 | 54.08 | 10538 | 63.20 | |
| One | 13348 | 29.08 | 4308 | 25.84 | |
| Two | 6126 | 13.34 | 1539 | 9.23 | |
| Three or greater | 1608 | 3.50 | 289 | 1.73 | |
| Metastasis | 0.627 | ||||
| None | 38219 | 83.25 | 13992 | 83.92 | |
| Single site | 5954 | 12.97 | 2052 | 12.30 | |
| Two or more sites | 1735 | 3.78 | 630 | 3.78 | |
| Elixhauser comorbidity Score | |||||
| < 3 | 22662 | 49.36 | 7982 | 47.87 | 0.141 |
| ≥ 3 | 23246 | 50.64 | 8692 | 52.13 | |
| Treatment options | |||||
| Transplant | 1553 | 3.38 | 492 | 2.95 | |
| Resection | 4945 | 10.77 | 2551 | 15.30 | |
| Ablation | 2702 | 5.89 | 1103 | 6.62 | |
| TACE | 3701 | 8.06 | 1241 | 7.44 | |
| Noninvasive treatment | 33007 | 71.90 | 11288 | 67.70 | |
NASH: Non-alcoholic steatohepatitis; TACE: Transcatheter arterial chemoembolization.
Multivariate logistic regression comparing outcomes of hepatocellular carcinoma by gender
| Metastatic hepatocellular carcinoma | Male | 1.00 | 0.84, 1.05 | 0.303 |
| Female | 0.94 | |||
| Liver decompensation | Male | 1.00 | 0.77, 0.92 | < 0.001 |
| Female | 0.84 | |||
| Inpatient mortality | Male | 1.00 | 0.65, 0.87 | < 0.001 |
| Female | 0.75 |
Model is adjusted for age, primary payer, hepatitis C, alcohol, non-alcoholic steatohepatitis (NASH), liver decompensation features, and Elixhauser comorbidity score;
Model is adjusted for age, race, primary payer, geographic region, hepatitis C, alcohol, NASH, primary biliary cirrhosis, metastasis, and Elixhauser comorbidity score;
Model is adjusted for age, race, primary payer, hepatitis C, hepatitis B, alcohol, NASH, liver decompensation features, metastasis, and treatment.
Multinomial logistic regression to evaluate gender disparities in treatment for hepatocellular carcinoma1,2
| Treatment | Gender | OR | 95%CI | |
| Liver transplant | Male | 1.00 | 0.95, 1.50 | 0.132 |
| Female | 1.19 | |||
| Resection | Male | 1.00 | 1.15, 1.48 | < 0.001 |
| Female | 1.31 | |||
| Ablation | Male | 1.00 | 1.02, 1.45 | 0.028 |
| Female | 1.22 | |||
| TACE | Male | 1.00 | 0.84, 1.16 | 0.841 |
| Female | 0.98 |
1Noninvasive treatment is treated as the reference category; 2Model adjusts for age, race, primary payer, hepatitis C, hepatitis B, alcohol, NASH, primary sclerosing cholangitis, primary biliary cirrhosis, liver decompensation features, metastasis, and Elixhauser comorbidity score. NASH: Non-alcoholic steatohepatitis; TACE: Transcatheter arterial chemoembolization.