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Impact of ART on the Fertility of HIV-Positive Women in Sub-Saharan Africa.

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Yeatman S, Eaton JW, Beckles Z, Benton L, Gregson S, Zaba B,


Yeatman S, Eaton JW, Beckles Z, Benton L, Gregson S, Zaba B, (click to view)

Yeatman S, Eaton JW, Beckles Z, Benton L, Gregson S, Zaba B,

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Tropical medicine & international health : TM & IH 2016 7 2() doi 10.1111/tmi.12747

Abstract
OBJECTIVE
Understanding the fertility of HIV-positive women is critical to estimating HIV epidemic trends from surveillance data and planning resource needs and coverage of prevention-of-mother-to-child transmission services in sub-Saharan Africa. In light of the considerable scale-up in antiretroviral therapy (ART) coverage over the last decade, we conducted a systematic review of the impact of ART on the fertility outcomes of HIV-positive women.

METHODS
We searched Medline, Embase, Popline, PubMed and African Index Medicus. Studies were included if they were conducted in sub-Saharan Africa and provided estimates of fertility outcomes (live births or pregnancies) among women on ART relative to a comparison group.

RESULTS
Of 2070 unique references, 18 published papers met all eligibility criteria. Comparisons fell into four categories: fertility of HIV-positive women relative to HIV-negative women; fertility of HIV-positive women on ART compared to those not yet on ART; fertility differences by duration on ART; and temporal trends in fertility among HIV-positive women. Evidence indicates that fertility increases after approximately the first year on ART, and that while the fertility deficit of HIV-positive women is shrinking, their fertility remains below that of HIV-negative women. These findings, however, were based on limited data mostly during the period 2005-2010 when ART scaled up.

CONCLUSIONS
Existing data are insufficient to characterize how ART has affected the fertility of HIV-positive women in sub-Saharan Africa. Improving evidence about fertility among women on ART is an urgent priority for planning HIV resource needs and understanding HIV epidemic trends. Alternative data sources such as antenatal clinic data, general population cohorts and population-based surveys can be harnessed to understand the issue. This article is protected by copyright. All rights reserved.

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