ArticleAIDS research and human retroviruses2014
Viral sequence analysis of HIV-positive women and their infected children: insight on the timing of infection and on the transmission network.
Article in AIDS research and human retroviruses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Prior Exposure to Intimate Partner Violence Associated With Less HIV Testing Among Young Women.Journal of interpersonal violence · 2021Article
- Article
- Perspectives on HIV Testing Among WIC-Enrolled Postpartum Women: Implications for Intervention Development.AIDS education and prevention : official publication of the International Society for AIDS Education · 2017Article
Corrections and comments
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Authors and funding
16 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We used high-resolution phylogenetic methods in the context of mother-to-child transmission to obtain information on the timing of the infection and on the transmission network. A total of 33 pol sequences (from maternal peripheral blood, from breast milk, and from plasma of children) belonging to five cases of HIV infant transmission were studied. Using time-scaled phylogeny we were able to estimate that in two cases the transmission occurred after the recommended duration of breastfeeding, supporting a longer, not reported, duration of breastfeeding as a significant factor associated with HIV infant acquisition in this cohort. Among the postnatal infections we were also able to demonstrate that the cell-free virus in breast milk was the most likely population associated with the event of transmission. Our study showed that a coalescent-based model within a Bayesian statistical framework can provide important information that can contribute to optimizing preventive strategies.
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Registered trials
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