Is mammography screening beneficial: An individual-based stochastic model for breast cancer incidence and mortality
Fig 8
Comparison of simulated mammography and control arms after bootstrap analysis.
The aggressiveness class indicates the value of the tumor aggressiveness parameter k (1 represents k < 0.0275, 2 from 0.0275–0.0400, 3 from 0.040–0.0543, 4 from 0.0543–0.0726, 5 from 0.0726–0.104 and 6 values greater than 0.104). The maximum tumor diameter class indicates the parameter dmax, with all values in mm (1 represents dmax < 22.36, 2 from 22.36–43.36, 3 from 43.36–64.16, 4 from 64.16–85.05, 5 from 85.05–106.4 and 6 values greater than 106.4). Ranges are from 500 bootstrap replicates of the simulated data. Panels A) and B) show the difference in the number of patients per thousand diagnosed (top number) and the difference in the number per thousand who would have died first of other causes with ineffective treatment (bottom number, α = 2.5). Colors indicate the significance of the difference in probability of diagnosis in the two arms (red for higher in mammography arm, green for lower). Panels C) and D) show the difference in the number of patients per thousand who died of any cause (top number) and the hazard ratio associated with mammography (bottom number) and colors indicate the significance of the effect of mammography on survival (red for higher hazard in the mammography arm, green for lower).