• Annals of Hepato-Biliary-Pancreatic Surgery
• /
• v.27 no.2
• /
• pp.151-157
• /
• 2023

Backgrounds/Aims: Cholangiocarcinoma (CCA) can be classified as intrahepatic CCA or extrahepatic CCA (eCCA). We intended to analyze and reports the survival outcomes for eCCA. Methods: Surveillance, epidemiology, and end results (SEER) registry, site recode C24.0, was used to select cases of eCCA from 2000 to 2018. Patients with incomplete data or ages <18 years were excluded. Results: Male (52.69%) and White race (77.99%) predominated. Compared with 2000-2006, survival increased in 2013 (adjusted hazard ratio [HRadj]: 0.68, 95% confidence interval [CI] 0.58-0.70; p < 0.01). Surgery with chemoradiotherapy (HRadj: 0.69, 95% CI 0.60-0.7; p < 0.01) and surgery with chemotherapy (HRadj: 0.72, 95% CI 0.62-0.83; p < 0.01) improved survival over surgery alone. Compared with surgery without lymph node (LN) removal, surgery of four or more regional LN reduced the risk of death by 58% (HRadj: 0.42, 95% CI 0.36-0.51; p < 0.01). Compared with patients without surgery, patients who underwent bile duct excision (HRadj: 0.82, 95% CI 0.72-0.94; p < 0.01), simple or extended lobectomy (HRadj: 0.85, 95% CI 0.75-0.95; p = 0.009), and hepatectomy (HRadj: 0.80, 95% CI 0.72-0.88; p < 0.01) significantly improved survival. Patients with distal CCA had a 17% higher survival than perihilar CCA (HRadj: 0.83, 95% CI 0.74-0.92; p < 0.01) and LN dissection was equally beneficial for both subgroups (p < 0.01). Conclusions: Surgery with chemoradiotherapy has a proven increase in the 5-year survival of the eCCA. LN resection, bile duct excision, lobectomy, and hepatectomy have better outcomes.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.19
• /
• pp.8371-8376
• /
• 2014

Background: The use of statistical methods has become an imperative tool in breast cancer survival data analysis. The purpose of this study was to develop the best statistical probability model using the Bayesian method to predict future survival times for the black non-Hispanic female breast cancer patients diagnosed during 1973-2009 in the U.S. Materials and Methods: We used a stratified random sample of black non-Hispanic female breast cancer patient data from the Surveillance Epidemiology and End Results (SEER) database. Survival analysis was performed using Kaplan-Meier and Cox proportional regression methods. Four advanced types of statistical models, Exponentiated Exponential (EE), Beta Generalized Exponential (BGE), Exponentiated Weibull (EW), and Beta Inverse Weibull (BIW) were utilized for data analysis. The statistical model building criteria, Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were used to measure the goodness of fit tests. Furthermore, we used the Bayesian approach to obtain the predictive survival inferences from the best-fit data based on the exponentiated Weibull model. Results: We identified the highest number of black non-Hispanic female breast cancer patients in Michigan and the lowest in Hawaii. The mean (SD), of age at diagnosis (years) was 58.3 (14.43). The mean (SD), of survival time (months) for black non-Hispanic females was 66.8 (30.20). Non-Hispanic blacks had a significantly increased risk of death compared to Black Hispanics (Hazard ratio: 1.96, 95%CI: 1.51-2.54). Compared to other statistical probability models, we found that the exponentiated Weibull model better fits for the survival times. By making use of the Bayesian method predictive inferences for future survival times were obtained. Conclusions: These findings will be of great significance in determining appropriate treatment plans and health-care cost allocation. Furthermore, the same approach should contribute to build future predictive models for any health related diseases.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.22
• /
• pp.10021-10025
• /
• 2014

Background: The study aimed to describe the age distribution of breast cancer diagnosis among Chinese females for comparison with the United States and the European Union, and provide evidence for the screening target population in China. Materials and Methods: Median age was estimated from hospital databases from 7 tertiary hospitals in China. Population-based data in China, United States and European Union was extracted from the National Central Cancer Registry, SEER program and GLOBOCAN 2008, respectively. Age-standardized distribution of breast cancer at diagnosis in the 3 areas was estimated based on the World Standard Population 2000. Results: The median age of breast cancer at diagnosis was around 50 in China, nearly 10 years earlier than United States and European Union. The diagnosis age in China did not vary between subgroups of calendar year, region and pathological characteristics. With adjustment for population structure, median age of breast cancer at diagnosis was 50~54 in China, but 55~59 in United States and European Union. Conclusions: The median diagnosis age of female breast cancer is much earlier in China than in the United States and the European Union pointing to racial differences in genetics and lifestyle. Screening programs should start at an earlier age for Chinese women and age disparities between Chinese and Western women warrant further studies.