Stage at diagnosis of breast cancer in sub-Saharan Africa: a systematic review and meta-analysis  Elima Jedy-Agba, MD, Valerie McCormack, PhD, Prof Clement.

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Stage at diagnosis of breast cancer in sub-Saharan Africa: a systematic review and meta-analysis  Elima Jedy-Agba, MD, Valerie McCormack, PhD, Prof Clement Adebamowo, MD, Prof Isabel dos-Santos-Silva, PhD  The Lancet Global Health  Volume 4, Issue 12, Pages e923-e935 (December 2016) DOI: 10.1016/S2214-109X(16)30259-5 Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 1 Study selection The Lancet Global Health 2016 4, e923-e935DOI: (10.1016/S2214-109X(16)30259-5) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 2 Study-specific breast cancer stage at diagnosis Study-specific distribution of stages I, II, III, and IV cancers. Percentage of T3/T4 cancers was used as a proxy for percentage of stage III/IV cancers in four studies.35–38 Percentage with metastases (M1) was given in three studies24,35,37 and was used as percentage of stage IV. Race as defined in table 1 and in the appendix (p 14). Study-specific references given in the appendix (p 14). B=black. C=coloured. I=Indian. NPL=non-pregnant or non-lactating women. PL=pregnant or lactating women. W=white. The Lancet Global Health 2016 4, e923-e935DOI: (10.1016/S2214-109X(16)30259-5) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 3 Study-specific breast cancer stage at diagnosis Study-specific percentage of late-stage disease (III/IV) ranked by increasing magnitude. Percentage of T3/T4 cancers was used as a proxy for percentage of stage III/IV cancers in four studies.35–38 Race as defined in table 1 and in the appendix (p 14). Study-specific references given in the appendix (p 14). B=black. C=coloured. DRC=Democratic Republic of the Congo. I=Indian. NPL=non-pregnant or non-lactating women. PL=pregnant or lactating women. W=white. The Lancet Global Health 2016 4, e923-e935DOI: (10.1016/S2214-109X(16)30259-5) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 4 Study-specific percentage of late-stage breast cancer at diagnosis, by region of sub-Saharan Africa B=black African. C=coloured. I=Indian. NPL=non-pregnant or non-lactating women. PL=pregnant or lactating women. W=white. Study-specific references given in the appendix (p 14). *Weights are from random effects analyses. The Lancet Global Health 2016 4, e923-e935DOI: (10.1016/S2214-109X(16)30259-5) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 5 Trends in stage of breast cancer at diagnosis in sub-Saharan Africa in 1960–2011, and in the USA in 1973–2002 and 1988–2011 The US estimates represent percentage of patients with breast cancer with regional or distant disease (as a proxy for stages III/IV) out of all patients with known stage in the Surveillance Epidemiology End Results (SEER) database (see Methods); the SEER summary staging classification was used for both time periods: 1973–2002 (based on 365 695 white women and 31 781 black women with breast cancer in the USA) and 1998–2011 (based on 780 137 white women and 96 526 black women with breast cancer in the USA). The discontinuity between the two time series was due to a change in staging classification. The sub-Saharan Africa estimates correspond to percentage of patients with stage III/IV breast cancer at diagnosis; the size of the point estimate symbols are proportional to the size of the study. The Lancet Global Health 2016 4, e923-e935DOI: (10.1016/S2214-109X(16)30259-5) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions