Appendix Table 3.

The Average Number of Screening Exams per 1000 Woman and the Gain in Years of Life per 1000 Women Screened for each Model by Screening Strategy

Screening Strategies	Average # of screens per 1000women¹	Years of Life Gained per 1000 Women (vs. no screening) Models²
Screening Strategies	Average # of screens per 1000women¹	D	E	G	M	S	W
Efficient Strategies (not dominated in 5 or 6 of 6 models)
B 60–69	4263	51	49	61	43	52	39
B 55–69	6890	73	78	91	62	80	64
B 50–69	8947	88	107	111	82	99	84
B 50–74	11066	106	116	128	96	121	95
B 40–79	17241	133	161	164	122	151	136
B 40–84	18708	140	164	167	126	158	140
A 40–79	34078	170	224	188	123	202	198
A 40–84	36550	177	227	192	128	210	202
Borderline Strategies (dominated in 2–4 of 6 models)
B 45–69	11694	102	129	136	99	116	109
B 50–79	12366	114	122	136	103	130	99
B 50–84	13837	121	124	139	108	138	103
B 40–69	13831	108	147	140	101	120	121
A 45–69	22546	131	179	152	103	152	155
A 50–79	24419	145	166	154	112	170	142
A 50–84	26905	152	169	157	116	178	146
A 40–69	27428	142	206	162	103	164	180
Dominated Strategies (dominated in all 6 models)
A 60–69	8438	65	69	71	53	69	56
A 55–69	13009	91	107	100	68	102	90
A 50–69	17733	117	148	128	91	132	123
A 50–74	21330	134	160	144	104	156	135

A=Annual

B=Biennial

Average number of mammograms across models. Not all possible mammograms in the age interval are obtained in strategies that continue to the oldest age groups since many women die as the result of other causes before screening would occur.

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)

Shaded areas in the table show strategies that are dominated within a specific model; a strategy is classified as dominated if there is another strategy (from either the Efficient, Borderline or Dominated categories) that results in an equal or higher years of life gained with fewer average screening exams.