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. 2021 Jul 14;113(11):1484–1494. doi: 10.1093/jnci/djab097

Table 1.

Summary of common inputs used by the models [adapted from Mandelblatt et al. (40)]a

Name Description Source
Population demographics and other-cause mortality
  Population demographic characteristics Cross-sectional female population in US organized by birth cohorts US census data (34)
  Other-case mortality Death from other causes CDC WONDER Database (41)
Natural history
  Incidence in absence of screening Breast cancer incidence in absence of screening and treatment Age-period-cohort models (42, 43)
  Survival in absence of screening and  treatment 25-y breast cancer survival before adjuvant treatment by joint ER/HER2 status, age group, AJCC/SEER stage, or tumor size Meta-analyses (44)
  Stage distribution Stage distributions by mode of detection, age group (<50, 50-64, >65 y), screening round (first, subsequent), and screening interval BCSC (40, 45)
  ER/HER2 joint distribution Probability of ER/HER2 conditional on age and stage/tumor size at diagnosis BCSC (40, 45)
Screening and diagnosis
  Mammography rates Use of mammography by different ages over time NHIS, BCSC (40, 45, 46)
  Mammography performance Sensitivity of initial and subsequent digital mammography by age group (<50, 50-64, >65 y) and screening interval BCSC (40, 45)
Treatment
  Treatment patterns Treatments and rates of use by time period, ER/HER2, stage and age at time of breast cancer diagnosis NCCN and meta-analyses (40, 47)
  Treatment effects Treatment efficacy by ER/HER2 for initial breast cancer diagnosis Meta-analyses and clinical trial results (48–53)
a

AJCC = American Joint Committee on Cancer; BCSC = Breast Cancer Surveillance Consortium; CDC = Centers for Disease Control and Prevention; ER = estrogen receptor; HER2 = human epidermal growth factor receptor 2; NCCN = National Comprehensive Cancer Network; NHIS = National Health Information Survey; SEER = Surveillance, Epidemiology, and End Results; WONDER = Wide-ranging ONline Data for Epidemiologic Research.