Statistical analysis
Estimated annual percentage change (EAPC) was used to quantify the
trends of age-standardized incidence rate (ASIR), age-standardized
mortality rate (ASMR) and age-standardized DALYs rate (ASDR). The
logarithmic age-standardized indicators could be fitted to a regression
line, i.e., ln(y) = α+βx+ε, where y stands for the respective
age-standardized indicators, x the calendar year. EAPC was calculated as
100 × (exp (β)-1), and its 95% confidence interval (CI) could also be
calculated from the model 21. The age-standardized indicator was
recognized to be in an increasing trend if the 95% CI of corresponding
EAPC estimation > 0, to be decreasing trend if the 95% CI
< 0, and to be stable if the 95% CI including 0. Furthermore,
we predicted the numbers of new cases and deaths of gynecological
malignancies from 2020 to 2030 by conducting a Bayesian
age-period-cohort (BAPC) analysis using integrated nested Laplace
approximation (INLA) packages in R. All analyses were conducted using R
program (Version 4.0.2, R core team, Vienna, Austria). AP <0.05 was considered statistically significant.
Results