ObjectiveTo analyze the disease burden and development trend of non-Hodgkin lymphoma (NHL) in China from 1990 to 2019. MethodsThe changes of incidence, mortality, disability-adjusted life years (DALY) and their corresponding age-normalization rates for NHL were analyzed by using the 2019 Global Burden of Disease Database. Regression analysis was performed by Joinpoint software to calculate annual percentage change (APC) and average annual percentage change (AAPC) of standardized morbidity, standardized mortality, standardized DALY rate to reflect the change trend of disease burden. And the results were compared with global data. ResultsFrom 1990 to 2019, the disease burden of NHL in China showed an overall increasing trend. Compared with 2019, the standard incidence rate, standard mortality rate and standard DALY rate of NHL in China increased by 144.72%, 27.17% and 15.61%, respectively. The annual rates of change were 3.12%, 0.80% and 0.51%, respectively. There were gender and age differences in disease burden. The burden of disease increased with age, and the burden of disease was higher in males than in females. ConclusionThe disease burden of NHL in China shows an increasing trend from 1990 to 2019. With the development of diagnosis and treatment options, the disease burden has decreased in recent years, but it is still higher than the global level. There is still a need to strengthen research on its pathogenesis and treatment options, and to actively intervene in high-risk groups to reduce the disease burden of NHL.
Objective The aim of this study was to describe the trends in the burden of breast cancer in women of all ages in China from 1990 to 2021, compare it with the global burden of breast cancer in women, and predict the burden of disease in the next 15 years. Methods Based on the open data of the Global Burden of Disease (GBD) in 2021, the incidence, prevalence, mortality and disability-adjusted life years (DALYs) of breast cancer among women in China and the world were analyzed. Joinpoint was used to calculate annual percentage change (APC) and average annual percentage change (AAPC) to reflect the changing trend of disease burden. An autoregressive composite moving average (ARIMA) model was used to predict the disease burden of breast cancer in women from 2022 to 2036. Results From 1990 to 2021, the age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR) of female breast cancer in China showed an increasing trend, with an average annual increase of 2.400 7% and 2.334 8%, respectively, and the age-standardized mortality rate (ASMR) and age-standardized DALYs rate (ASDR) showed a decreasing trend. The average annual decline was 0.290 0% and 0.198 3%, respectively. Meanwhile, ASIR and ASPR of global female breast cancer also showed an increasing trend, with an average annual increase of 0.474 9% and 0.3445 2% respectively, while ASMR and ASDR showed a decreasing trend, with an average annual decrease of 0.425 2% and 0.321 8% respectively. Among them, there are differences in the impact of age on the burden of female breast cancer. The peak of ASIR and ASPR appears in the age group of 50 to 69 years old, and generally increases with the increase of age, and then decreases when reaching the peak. ASMR and ASDR increase with age. In the following 15 years, the prevalence of breast cancer in women in China and globally showed an increasing trend, while the mortality rate showed a decreasing trend. Conclusion From the analysis of the disease burden from 1990 to 2021, breast cancer has a huge harm to women, and the incidence of young and middle-aged women is high, the death rate of middle-aged and elderly women is high, and the disease time is long, which brings a heavy psychological and economic burden to patients and society. From the trend forecast for the next 15 years, the prevalence of breast cancer in women in China and the world will increase, while the mortality rate will decrease slightly, but the decrease is not large, which will bring huge public health challenges and put higher requirements on the prevention and control of the disease. To reduce the disease burden of breast cancer, comprehensive strategies for disease control are needed, including prevention of risk factors at the primary care level, screening of at-risk populations, and quality medical services.