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Appendix Table 3. Average Number of Screening Examinations and Percentage of Reduction in Breast Cancer Mortality, by Screening Strategy
|Screening Strategy||Average Screenings per 1000 Womena||Reduction in Breast Cancer Mortality (vs. No Screening), by Modelb|
|Efficient strategies (not dominated in 6 of 6 models)|
|Biennial screening, ages 60-69 y||4,263||11||13||11||10||9||12|
|Biennial screening, ages 55-69 y||6,890||15||18||15||14||13||19|
|Biennial screening, ages 50-69 y||8,947||16||23||17||16||15||23|
|Biennial screening, ages 50-74 y||11,066||22||27||21||21||20||28|
|Biennial screening, ages 50-79 y||12,366||25||29||24||24||25||30|
|Biennial screening, ages 50-84 y||13,837||29||31||25||27||26||33|
|Biennial screening, ages 40-84 y||18,708||31||37||28||29||27||39|
|Annual screening, ages 50-84 y||36,550||38||49||32||29c||35||54|
|Borderline strategies (dominated in 2-3 of 6 models)|
|Biennial screening, ages 40-79 y||17,241||27d||35||26||26d||25d||36|
|Annual screening, ages 50-79 y||24,419||32||39||27d||26d||30||42|
|Annual screening, ages 50-84 y||26,905||35||41||28d||28d||33||45|
|Annual screening, ages 40-79 y||34,078||34d||46||30||27d||33d||51|
|Inefficient/dominated strategies (dominated in all 6 models)|
|Annual screening, ages 60-69 y||8,438||14d||18d||13d||12d||12d||17d|
|Biennial screening, ages 45-69 y||11,694||18d||26d||20d||19d||17d||27d|
|Annual screening, ages 55-69 y||13,009||18d||25d||17d||15d||16d||26d|
|Biennial screening, ages 40-69 y||13,831||18d||28d||20d||19d||16d||29d|
|Annual screening, ages 50-69 y||17,733||21d||31d||20d||18d||20d||33d|
|Annual screening, ages 50-74 y||21,330||27d||35d||24d||22d||26d||38d|
|Annual screening, ages 45-69 y||22,546||23d||35d||22d||20d||22d||39d|
|Annual screening, ages 40-69 y||27,428||24d||39d||23d||20d||22d||43d|
a Average number of mammograms across models. Not all possible mammograms in the age group are obtained in strategies that continue to the oldest age groups, because many women die of other causes before screening would occur.
b Model group abbreviations: D = Dana-Farber Cancer Institute; E = Erasmus Medical Center; G = Georgetown University; M = M.D. Anderson Cancer Center; S = Stanford University; W = University of Wisconsin/Harvard.
c Because of rounding, this strategy seems to be dominated, but the actual result is 29.4.
d Strategy is dominated ("inefficient") within the specific model. A strategy is classified as dominated if another strategy (from the efficient, borderline, or inefficient/dominated category) results in an equal or higher percentage of mortality reduction with fewer average screening examinations.