Catalog and comparison of societal preferences (utilities) for lung cancer health states: results from the Cancer Care Outcomes Research and Surveillance (CanCORS) study.

BACKGROUND: The EQ-5D and SF-6D are 2 health-related quality-of-life indexes that provide preference-weighted measures for use in cost-effectiveness analyses. METHODS: The National Cancer Institute's Cancer Care Outcomes Research and Surveillance (CanCORS) Consortium included the EQ-5D and SF-12v2 in their survey of newly diagnosed lung cancer patients. Utilities were calculated from patient-provided scores for each domain of the EQ-5D or the SF-6D. Utilities were calculated for categories of cancer type, stage, and treatment. RESULTS: There were 5015 enrolled lung cancer patients with a baseline survey in CanCORS; 2396 (47.8%) completed the EQ-5D, and 2344 (46.7%) also completed the SF-12v2. The mean (standard deviation) utility from the EQ-5D was 0.78 (0.18), and from the SF-6D (derived from SF-12v2) was 0.68 (0.14). The EQ-5D demonstrated a ceiling effect, with 20% of patients reporting perfect scores, translating to a utility of 1.0. No substantial SF-6D floor effects were noted. Utilities increased with age and decreased with stage and comorbidities. Patient-reported (EQ-5D) visual analog scale scores for health status had a moderate (r = 0.48, p < 0.0001) positive correlation with utilities. A subset (n = 1474) completed follow-up EQ-5D questionnaires 11-13 months after diagnosis. Among these patients, there was a nonsignificant decrease in mean utility for stage IV and an increase in mean utility for stages I, II, and III. CONCLUSION: This study generated a catalog of community-weighted utilities applicable to societal-perspective cost-effectiveness analyses of lung cancer interventions and compared utilities based on the EQ-5D and SF-6D. Potential users of these scores should be aware of the limitations and think carefully about their use in specific studies.

Exploring the recent trend in esophageal adenocarcinoma incidence and mortality using comparative simulation modeling.

BACKGROUND: The incidence of esophageal adenocarcinoma (EAC) has increased five-fold in the United States since 1975. The aim of our study was to estimate future U.S. EAC incidence and mortality and to shed light on the potential drivers in the disease process that are conduits for the dramatic increase in EAC incidence. METHODS: A consortium of three research groups calibrated independent mathematical models to clinical and epidemiologic data including EAC incidence from the Surveillance, Epidemiology, and End Results (SEER 9) registry from 1975 to 2010. We then used a comparative modeling approach to project EAC incidence and mortality to year 2030. RESULTS: Importantly, all three models identified birth cohort trends affecting cancer progression as a major driver of the observed increases in EAC incidence and mortality. All models predict that incidence and mortality rates will continue to increase until 2030 but with a plateauing trend for recent male cohorts. The predicted ranges of incidence and mortality rates (cases per 100,000 person years) in 2030 are 8.4 to 10.1 and 5.4 to 7.4, respectively, for males, and 1.3 to 1.8 and 0.9 to 1.2 for females. Estimates of cumulative cause-specific EAC deaths between both sexes for years 2011 to 2030 range between 142,300 and 186,298, almost double the number of deaths in the past 20 years. CONCLUSIONS: Through comparative modeling, the projected increases in EAC cases and deaths represent a critical public health concern that warrants attention from cancer control planners to prepare potential interventions. IMPACT: Quantifying this burden of disease will aid health policy makers to plan appropriate cancer control measures. Cancer Epidemiol Biomarkers Prev; 23(6); 997-1006. ©2014 AACR.