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Review

A review of screening strategies for cervical cancer in human immunodeficiency virus-positive women in sub-Saharan Africa

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Pages 69-79 | Published online: 02 Feb 2017

Figures & data

Figure 1 Global distribution of HIV in Africa in 2007.

Note: Reproduced from Hotez PJ, Fenwick A, Kjetland EF. Africa’s 32 cents solution for HIV-AIDS. PLoS Negl Trop Dis. 2009;3(5):e430.Citation86
Figure 1 Global distribution of HIV in Africa in 2007.

Figure 2 Cervical cancer age-standardized incidence rates per 100,000 women in 2008.

Note: Reproduced with permission from Ferlay J, Shin HR, Bray F, Forman D, Mathers C and Parkin DM. GLOBOCAN 2008, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 10 [Internet]. Lyon, France: International Agency for Research on Cancer; 2010.Citation87
Abbreviation: ASR, age-standardized incidence rates per 100,000 women and year.
Figure 2 Cervical cancer age-standardized incidence rates per 100,000 women in 2008.

Figure 3 Decision-making algorithm for VIA-based screening.

Note: *If available.
Abbreviations: VIA, visual inspection with acetic acid; VILI, visual inspection with Lugol’s iodine.
Figure 3 Decision-making algorithm for VIA-based screening.

Table 1 Sensitivity and specificity values of VIA among HIV-positive women across different studies

Table 2 Sensitivity and specificity of HPV testing among HIV-positive women across different studies

Figure 4 Decision-making algorithm for HPV-based screening.

Abbreviations: HIV, human immunodeficiency virus; HPV, human papillomavirus; VIA, visual inspection with acetic acid; VILI, visual inspection with Lugol’s iodine.
Figure 4 Decision-making algorithm for HPV-based screening.

Table 3 Advantages and disadvantages of different CC screening options