Fig 1.
Age-period-cohort analysis using the Wald test (A), with the analysis of all age deviations (A) and the mortality rates (B) by age. In Fig 1A and 1B, the lines represent the oscillation of the Y-axis value in relation to the X-axis; the circle represents the moment on the X-axis; the shadows above the lines represent the 95% CIs.
Fig 2.
Age-period-cohort analysis using the Wald test, with the analysis of net drift (A), temporal trends (B), period rate ratios (C), the cross-sectional age curve (D), the age incidence pattern for every period (E), and all period deviations (F). In Fig 2B-2D and 2F the lines represent the oscillation of the Y-axis value in relation to the X-axis; the circle or square represents the moment on the X-axis; the shadows above the lines represent the 95% CIs.
Fig 3.
Age-period-cohort analysis using the Wald test (A), with the cohort RR analysis (B), the longitudinal age curve (C), cohort deviations (D), and age incidence patterns for every cohort (E). In Fig 3B-3D, the lines represent the oscillation of the Y-axis value in relation to the X-axis; the circle represents the moment on the X-axis; the shadows above the lines represent the 95% CIs.
Fig 4.
Colorectal cancer mortality rates according to geographic region (A), race (B), and marital status (C). a, b, c p < 0.05, post-hoc Bonferroni. *p < 0.05, post-hoc Bonferroni in comparison with White. #p < 0.05, post-hoc Bonferroni in comparison Black.°p < 0.05, post-hoc Bonferroni in comparison with Yellow.
Table 1.
Sociodemographic factors that predict mortality in Brazil in relation to the largest category.
Fig 5.
Survival curves among the different racial classification groups (A), marital status (B) and geographic regions (C) using Kaplan-Meier plots.
Table 2.
Colorectal cancer survival rates according to geographic region, racial classification and marital status in Brazil between 2000 and 2019 using Cox regression univariate analyses, in relation to the largest category of mortality.
Table 3.
Prediction of mortality in Brazil and different geographic regions by performing screening, diagnosis and treatment procedures for colorectal cancer.