RESUMO
Cancer is a major contributor to global disease burden. Many countries experienced or are experiencing the transition that non-infection-related cancers replace infection-related cancers. We aimed to characterise burden changes for major types of cancers and identify global transition patterns. We focused on 10 most common cancers worldwide and extracted age-standardised incidence and mortality in 204 countries and territories from 1990 to 2019 through the Global Burden of Disease Study. Two-stage modelling design was used. First, we applied growth mixture models (GMMs) to identify distinct trajectories for incidence and mortality of each cancer type. Next, we performed latent class analysis to detect cancer transition patterns based on the categorisation results from GMMs. Kruskal-Wallis H tests were conducted to evaluate associations between transition patterns and socioeconomic indicators. Three distinct patterns were identified as unfavourable, intermediate and favourable stages. Trajectories of lung and breast cancers had the strongest association with transition patterns among men and women. The unfavourable stage was characterised by rapid increases in lung, breast and colorectal cancers alongside stable or decreasing burden of gastric, cervical, oesophageal and liver cancers. In contrast, the favourable stage exhibited rapid declines in most cancers. The unfavourable stage was associated with lower sociodemographic index, health expenditure, gross domestic product per capita and higher maternal mortality ratio (P < .001 for all associations). Our findings suggest that unfavourable, intermediate and favourable transition patterns exist. Countries and territories in the unfavourable stage tend to be socioeconomically disadvantaged, and tailored intervention strategies are needed in these resource-limited settings.
Assuntos
Neoplasias da Mama , Masculino , Humanos , Feminino , Neoplasias da Mama/epidemiologia , Carga Global da Doença , Fatores Socioeconômicos , Saúde GlobalRESUMO
BACKGROUND: The participation and results for liver cancer screening are rarely reported. The aim of this study was to determine the participation rates and factors affecting participation rates as well as to report the detection rate for liver cancer in an organized screening program. METHODS: The organized screening program for liver cancer was conducted in 12 rural sites. The risk of developing liver cancer was initially evaluated for each participant. High-risk individuals were offered α-fetoprotein measurement and ultrasonography examination. Potential risk factors associated with the participation rate were screened by fitted generalized linear mixed logistic regression models through reporting odds ratios (ORs) with 95% CIs. RESULTS: A total of 358,662 eligible participants completed the basic surveys, and 54,745 were evaluated to be at high risk of liver cancer. Of these high-risk individuals, 40,543 accepted the screening services. Determinants of participation for screening behavior included older age, being female, being positive for hepatitis B surface antigen, having a family history of liver cancer, chronic depression, and low income. The detection rate for liver cancer was estimated to be 0.41% (95% CI, 0.35-0.48). CONCLUSIONS: This study reported several significant factors associated with the screening behaviors for liver cancer. LAY SUMMARY: Participation rate and results for liver cancer screening in rural areas are rarely reported. The determinants associated with adherence rates and early detection rate of liver cancer in an organized screening program for liver cancer were assessed. A possible positive correlation between the participation rates and the early detection rate was observed among attendees of screening. These new finds could be beneficial to increasing the participation rate of screening.