Table 3.
Model | Percent Mortality Reduction Maintained by Screening Strategy | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
50–69 | 40–69 | 45–69 | 40–79 | 40–84 | 55–69 | 60–69 | 50–74 | 50–79 | 50–84 | |
D | 76% | 75% | 78% | 79% | 82% | 83% | 79% | 81% | 78% | 83% |
E | 75 | 73 | 74 | 75 | 75 | 75 | 73 | 76 | 75 | 76 |
G | 85 | 86 | 91 | 87 | 88 | 91 | 86 | 89 | 88 | 89 |
M | 90 | 96 | 97 | 97 | 99 | 92 | 84 | 95 | 93 | 95 |
S | 74 | 73 | 78 | 76 | 77 | 80 | 74 | 79 | 85 | 79 |
W | 68 | 67 | 70 | 70 | 71 | 71 | 70 | 72 | 70 | 73 |
Model Group Abbreviations: D (Dana Farber Cancer Center), E (Erasmus Medical Center), G (Georgetown U.), M (M.D. Anderson Cancer Center), S (Stanford U.), W (U. of Wisconsin/Harvard)
Differences in the range of results reflect differences in modeling approaches. For example, the benefit of screening in model M is modeled through stage shift, as with most other models, but also includes a “beyond stage shift” factor based on a cure fraction for small tumors. However, since many of these “cures” occur among women with invasive cancers that are not lethal, finding such cancers a year earlier confers very little mortality advantage to annual (vs. biennial) screening.