Evidence map›Paper›PMID 18664290›Full record

ArticleVirology journal2008

A predominance of R5-like HIV genotypes in vaginal secretions is associated with elevated plasma HIV-1 RNA levels and the absence of anti-retroviral therapy.

Tara C Randolph, Patricia J Kissinger, Rebecca A Clark, Nedra Lacour, Angela M Amedee

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Tara C RandolphDepartment of Microbiology, Louisiana State University Health Sciences Center, New Orleans, LA, USA. trand1@lsuhsc.edu
Patricia J Kissinger
Rebecca A Clark
Nedra Lacour
Angela M Amedee
Louisiana State University Health Sciences Center New Orleans · USTulane University · US

Funding

T. vaginalis Recurrence Among HIV+ WomenU19AI061972 · NIAID · LSU HEALTH SCIENCES CENTER · PI MYERS, LEANN · 2004 to 2009
$12.0M
NIAID NIH HHS U19 AI061972
6 · The paper itself

Abstract

HIV expressed in genital secretions provides the inoculum from which transmitting variants are selected, both in sexual transmission and mother-to-infant transmission during partuition. Characterization of HIV levels and genotypes found in vaginal secretions and the impact of anti-retroviral therapy (ART) on this virus can provide valuable insight for the prevention of HIV transmission. Vaginal HIV was evaluated in a cohort of 43 women attending a New Orleans HIV outpatient clinic. Predominant vaginal genotypes were characterized as R5- or X4-like by heteroduplex tracking analyses of the envelope V3 region. Most women (67.4%) shed R5-like genotypes in vaginal secretions which was associated with elevated plasma HIV levels (>or= 10,000 copies HIV-RNA/mL) and absence of ART. Because R5-like genotypes are more frequently associated with transmission, these observations suggest that the majority of women shedding HIV in genital secretions present a transmission risk. The levels of vaginal virus were similar between both groups, but shedding of X4-like genotypes was associated with lower plasma viral loads and the use of ART, suggesting that ART use may impact the genotypes of virus found in the female genital compartment.

Indexed as

Anti-HIV AgentsCohort StudiesFemaleGenotypeHIV-1HIV InfectionsHumansInfectious Disease Transmission, VerticalLouisianaRNA, ViralVaginaAnti-HIV AgentsRNA, Viral

Identifiers

PMID18664290
PMCPMC2515106
OpenAlexW2107370081

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.