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Table 1.

Exemplar breast cancer model input parameters by level at which they are modeled in CISNET.

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Table 2.

Common outputs of the CISNET breast cancer models.

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Table 2 Expand

Fig 1.

The relative reduction in breast cancer mortality (%) by treatment (blue line) and screening (red line) for the (A) ER+, HER2−, (B) ER+, HER2+, (C) ER−, HER2+, and (D) ER−, HER2− molecular subtypes with 95% credible intervals (dashed lines), 1995–2012, Model M. ER, estrogen receptor; HER2, human epidermal growth factor receptor 2. Image source: Plevritis et al., JAMA 2018 [8].

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Table 3.

Risk-based screening strategies based on breast cancer family history, polygenic risk score, and family history combined with polygenic risk.

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Table 3 Expand

Table 4.

Incremental harm/benefit ratios of various screening strategies (according to screening frequency and age) compared to no screening for average-risk women and women with Down syndrome.

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Table 4 Expand

Fig 2.

Harm/benefit ratios for breast cancer screening strategies by screening modality and starting age among childhood cancer survivors.

Shown are estimates for the number of false-positive mammogram results per breast cancer death averted for each screening strategy. For context, the published benchmark estimates for the harm/benefit ratio is shown for average-risk women in the general population undergoing screening based on USPSTF recommendations (biennial mammography between 50 and 74 years of age). A lower ratio indicates a more favorable balance of harms to benefits. GE, Georgetown University Medical Center and Albert Einstein College of Medicine; Mammo, mammography; MRI, magnetic resonance imaging; USPSTF, US Preventive Services Task Force; WH, University of Wisconsin–Madison and Harvard Pilgrim Healthcare Institute. Image source: Yeh et al., Ann Intern Med 2020 [15].

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Fig 3.

False-positive mammograms per breast cancer death averted according to age, breast density, and screening frequency among women with average breast cancer risk.

Results shown from Model E compared with the scenario of no mammography screening. Values for women aged 65–74 years assume all women received biennial screening during ages 50–64 years. Image source: Trentham-Dietz et al., Ann Intern Med 2016 [9].

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