Early detection and treatment strategies for breast cancer in low-income and upper middle-income countries: a modelling study Jeanette K Birnbaum, PhD,

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Presentation transcript:

Early detection and treatment strategies for breast cancer in low-income and upper middle-income countries: a modelling study Jeanette K Birnbaum, PhD, Catherine Duggan, PhD, Benjamin O Anderson, MD, Ruth Etzioni, PhD The Lancet Global Health Volume 6, Issue 8, Pages e885-e893 (August 2018) DOI: 10.1016/S2214-109X(18)30257-2 Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY 4.0 license Terms and Conditions

Figure 1 Schematic of the state-transition microsimulation model Dashed arrow shows that early detection interventions decrease advanced-stage incidence. ER=oestrogen-receptor. The Lancet Global Health 2018 6, e885-e893DOI: (10.1016/S2214-109X(18)30257-2) Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY 4.0 license Terms and Conditions

Figure 2 Absolute risk reduction for each intervention compared with the standard of care in (A) the East African region and (B) Colombia Error bars are 95% uncertainty intervals. Percentages in brackets are the proportions of women who present with advanced-stage disease. ER=oestrogen-receptor. B=endocrine therapy for ER-positive cases. C=B plus chemotherapy for ER-negative cases. D=C plus chemotherapy for advanced ER-positive cases. The Lancet Global Health 2018 6, e885-e893DOI: (10.1016/S2214-109X(18)30257-2) Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY 4.0 license Terms and Conditions