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Incident HIV among pregnant and breast-feeding women in sub-Saharan Africa: a systematic review and meta-analysis.

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TLDR
Substantial HIV incidence among pregnant and breastfeeding women in SSA, even in the current era of combination HIV prevention and treatment, underscores the need for prevention tailored to high-risk pregnant and Breastfeeding women.
Abstract
Objectives A previous meta-analysis reported high HIV incidence among pregnant and breast-feeding women in sub-Saharan Africa (SSA), but limited evidence of elevated risk of HIV acquisition during pregnancy or breast-feeding when compared with nonpregnant periods. The rapidly evolving HIV prevention and treatment landscape since publication of this review may have important implications for maternal HIV incidence. Design Systematic review and meta-analysis. Methods We searched four databases and abstracts from relevant conferences through 1 December 2018, for literature on maternal HIV incidence in SSA. We used random-effects meta-analysis to summarize incidence rates and ratios, and to estimate 95% prediction intervals. We evaluated potential sources of heterogeneity with random-effects meta-regression. Results Thirty-seven publications contributed 100 758 person-years of follow-up. The estimated average HIV incidence rate among pregnant and breast-feeding women was 3.6 per 100 person-years (95% prediction interval: 1.2--11.1), while the estimated average associations between pregnancy and risk of HIV acquisition, and breast-feeding and risk of HIV acquisition, were close to the null. Wide 95% prediction intervals around summary estimates highlighted the variability of HIV incidence across populations of pregnant and breast-feeding women in SSA. Average HIV incidence appeared associated with age, partner HIV status, and calendar time. Average incidence was highest among studies conducted pre-2010 (4.1/100 person-years, 95% prediction interval: 1.1--12.2) and lowest among studies conducted post-2014 (2.1/100 person-years, 95% prediction interval: 0.7--6.5). Conclusion Substantial HIV incidence among pregnant and breast-feeding women in SSA, even in the current era of combination HIV prevention and treatment, underscores the need for prevention tailored to high-risk pregnant and breast-feeding women.

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"I had Made the Decision, and No One was Going to Stop Me" -Facilitators of PrEP Adherence During Pregnancy and Postpartum in Cape Town, South Africa

TL;DR: Facilitators of optimal PrEP use through pregnancy and postpartum included fear of HIV acquisition for self and infant, mostly due to partner sexual behaviors and unknown serostatus, along with PrEP disclosure, and encouragement from partners and family.
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Recent HIV infection among pregnant women in the 2017 antenatal sentinel cross-sectional survey, South Africa: Assay-based incidence measurement.

TL;DR: In this article, the authors conducted a national cross-sectional survey among pregnant women aged 15-49 years old attending antenatal care at 1,595 public facilities and identified the characteristics of recently infected pregnant women at national level.
References
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Journal ArticleDOI

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
Journal ArticleDOI

Conducting Meta-Analyses in R with the metafor Package

TL;DR: The metafor package provides functions for conducting meta-analyses in R and includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models.
Journal ArticleDOI

Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
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