Evidence map›Paper›PMID 27552218›Full record

ArticlePloS one2016

Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana.

Sikhulile Moyo, Alain Vandormael, Eduan Wilkinson, Susan Engelbrecht, Simani Gaseitsiwe, Kenanao P Kotokwe, Rosemary Musonda, Frank Tanser, Max Essex, Vladimir Novitsky and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  8. Article
  9. Next-generation sequencing of HIV-1 single genome amplicons.Biomolecular detection and quantification · 2019
    Article
  10. HIITE: HIV-1 incidence and infection time estimator.Bioinformatics (Oxford, England) · 2018
    Article
  11. Article
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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

11 authors.

Sikhulile MoyoDivision of Medical Virology, Stellenbosch University, Tygerberg, South Africa.ORCID http://orcid.org/0000-0003-3821-4592
Alain VandormaelWellcome Trust Africa Centre for Health and Population Studies, Dorris Duke Medical Research Centre, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Eduan WilkinsonWellcome Trust Africa Centre for Health and Population Studies, Dorris Duke Medical Research Centre, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Susan EngelbrechtDivision of Medical Virology, Stellenbosch University, Tygerberg, South Africa.
Simani GaseitsiweBotswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.
Kenanao P KotokweBotswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.
Rosemary MusondaBotswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.
Frank TanserWellcome Trust Africa Centre for Health and Population Studies, Dorris Duke Medical Research Centre, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Max EssexBotswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.
Vladimir NovitskyBotswana-Harvard AIDS Institute Partnership, Gaborone, Botswana.
Tulio de OliveiraWellcome Trust Africa Centre for Health and Population Studies, Dorris Duke Medical Research Centre, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.

Funding

Training in HIV Genomics, Treatment, and Cure Research in BotswanaD43TW009610 · FIC · THE BOTSWANA HARVARD HEALTH PARTNERSHIP · PI SHAHIN LOCKMAN, Joseph Moeketsi Makhema · 2013 to 2026
$4.4M
Markers of Viral Set Point in Primary HIV-1C InfectionR01AI057027 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI NOVITSKY, VLADIMIR A · 2005 to 2009
$2.2M
FIC NIH HHS D43 TW009610NIAID NIH HHS R01 AI057027
6 · The paper itself

Abstract

backgroundCross-sectional, biomarker methods to determine HIV infection recency present a promising and cost-effective alternative to the repeated testing of uninfected individuals. We evaluate a viral-based assay that uses a measure of pairwise distances (PwD) to identify HIV infection recency, and compare its performance with two serologic incidence assays, BED and LAg. In addition, we assess whether combination BED plus PwD or LAg plus PwD screening can improve predictive accuracy by reducing the likelihood of a false-recent result.

methodsThe data comes from 854 time-points and 42 participants enrolled in a primary HIV-1C infection study in Botswana. Time points after treatment initiation or with evidence of multiplicity of infection were excluded from the final analysis. PwD was calculated from quasispecies generated using single genome amplification and sequencing. We evaluated the ability of PwD to correctly classify HIV infection recency within <130, <180 and <360 days post-seroconversion using Receiver Operator Characteristics (ROC) methods. Following a secondary PwD screening, we quantified the reduction in the relative false-recency rate (rFRR) of the BED and LAg assays while maintaining a sensitivity of either 75, 80, 85 or 90%.

resultsThe final analytic sample consisted of 758 time-points from 40 participants. The PwD assay was more accurate in classifying infection recency for the 130 and 180-day cut-offs when compared with the recommended LAg and BED thresholds. A higher AUC statistic confirmed the superior predictive performance of the PwD assay for the three cut-offs. When used for combination screening, the PwD assay reduced the rFRR of the LAg assay by 52% and the BED assay by 57.8% while maintaining a 90% sensitivity for the 130 and 180-day cut-offs respectively.

conclusionPwD can accurately determine HIV infection recency. A secondary PwD screening reduces misclassification and increases the accuracy of serologic-based assays.

Indexed as

Genetic VariationAdultBiomarkersBotswanaFemaleHIV-1HIV AntibodiesHIV InfectionsHIV SeropositivityHumansMaleMiddle AgedBiomarkersHIV Antibodies

Identifiers

PMID27552218
PMCPMC4994946

What OpenQuestion holds

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LicenceCC BY
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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.