Trends in uterine cancer incidence in the United States: The contribution of age, period and cohort effects.

OBJECTIVE: In the U.S., uterine cancer incidence is rising, with racial and ethnic minorities experiencing the largest increases. We performed age-period-cohort analyses using novel methods to examine the contribution of age at diagnosis (age), year of diagnosis (period), and birth cohort (cohort), to trends in uterine cancer incidence. METHODS: We used uterine cancer incidence data from the Surveillance, Epidemiology, and End Result (SEER) 12 database (1992-2019), and performed hysterectomy-correction. We generated hexamaps to visualize age, period, and cohort effects, and used mutual information to estimate the percent contribution of age, period, and cohort effects, individually and combined, on uterine cancer incidence, overall and by race and ethnicity and histology. RESULTS: Hexamaps showed an increase in uterine cancer in later time periods, and a cohort effect around 1933 showing a lower incidence compared with earlier and later cohorts. Age, period, and cohort effects combined contributed 86.6% (95% CI: 86.4%, 86.9%) to the incidence. Age effects had the greatest contribution (65.1%, 95% CI: 64.3%, 65.9), followed by cohort (20.7%, 95% CI: 20.1%, 21.3%) and period (14.2%, 95% CI: 13.7%, 14.8%) effects. Hexamaps showed higher incidence in recent years for non-Hispanic Blacks and non-endometrioid tumors. CONCLUSIONS: Age effects had the largest contribution to uterine cancer incidence, followed by cohort and period effects overall and across racial and ethnic groups and histologies. IMPACT: These findings can inform uterine cancer modeling studies on the effects of interventions that target risk factors which may vary across age, period, or cohort.

Weight-loss therapy in patients with obesity with endometrial intraepithelial neoplasia and uterine cancer.

OBJECTIVE: Although obesity is an important risk factor for endometrial intraepithelial neoplasia (EIN) and uterine cancer, little is known about the trends in use of weight-loss therapy for patients with obesity with EIN and uterine cancer. We examined the use of weight-loss therapy among patients with obesity with EIN and uterine cancer. METHODS: The Merative MarketScan Database was used to identify patients aged 18-70 years who were obese and diagnosed with EIN or uterine cancer. The primary treatment for EIN or uterine cancer was categorized as either primary hysterectomy or hormonal therapy. Nutrition counseling, bariatric surgeries, and weight-management medications were identified as weight-loss therapy. We analyzed trends in the use of any weight-loss therapies with Cochran-Armitage tests. A multivariable logistic regression model was developed to examine factors associated with weight-loss therapy use. RESULTS: Overall, 15,374 patients were identified, including 5561 (36.2%) patients with EIN and obesity, and 9813 (63.8%) patients with uterine cancer and obesity. Weight-loss therapy was utilized within 1 year after diagnosis in 480 (8.6%) patients with EIN and in 802 (8.2%) patients with uterine cancer. Use of any weight-loss therapy after diagnosis of EIN increased from 4.1% in 2009 to 12.6% in 2020 (P < .001), and the use of any weight-loss therapy after diagnosis of uterine cancer increased from 4.9% in 2009 to 11.4% in 2020 (P < .001). In a multivariable regression model, younger age and patients with high comorbidity score were associated with a higher likelihood of using any weight-loss therapy. CONCLUSIONS: Use of weight-loss therapy has increased, however there is still a significant underuse of this adjunctive therapy in patients with obesity with EIN or uterine cancer.

The Benefits and Harms of Lung Cancer Screening in Individuals With Comorbidities.

Introduction: Individuals with a history of smoking and a high risk of lung cancer often have a high prevalence of smoking-related comorbidities. The presence of these comorbidities might alter the benefit-to-harm ratio of lung cancer screening by influencing the risk of complications, quality of life, and competing risks of death. Nevertheless, individuals with chronic diseases are underrepresented in screening clinical trials. In this study, we use microsimulation modeling to determine the impact of chronic diseases on lung cancer benefits and harms. Methods: We extended a validated lung cancer screening microsimulation model that comprehensively recapitulates an individual's lung cancer development, progression, detection, follow-up, treatment, and survival. We parameterized the model to reflect the impact of chronic diseases on complications from invasive testing, quality of life, and mortality in individuals in five-year age categories between the ages of 50 and 80 years. Outcomes included life-years (LY) gained per 100,000 in patients with chronic obstructive pulmonary disease, diabetes mellitus, heart disease, and history of stroke compared with screening-eligible individuals without comorbidities. Results: Among individuals between the ages of 50 and 54 years, we found that the presence of a comorbidity altered the LY gained from screening per 100,000 individuals depending on the comorbidity: 4296 LY with no comorbidities; 3462 LY, 3260 LY, 3031 LY, and 3257 LY with chronic obstructive pulmonary disease, heart disease, diabetes mellitus, and stroke, respectively. We observed greater reductions in LY gained in individuals with two comorbidities; we observed similar patterns for individuals between the ages of 55 and 59 years, 60 and 64 years, 65 and 69 years, 70 and 74 years, and 75 and 80 years. Conclusions: Comorbidities reduce LY gained from screening per 100,000 compared with no comorbidities, and our results can be used by clinicians when discussing the benefits and harms of screening in their patients with comorbidities.

E-Cigarette Use and Lung Cancer Screening Uptake.

This cross-sectional study examines e-cigarette use and lung cancer screening uptake among individuals in the US.