Evidence map›Paper›PMID 29137673›Full record

ArticleVirology journal2017

A cheap and open HIV viral load technique applicable in routine analysis in a resource limited setting with a wide HIV genetic diversity.

Elodie Téclaire Ngo-Malabo, Paul Alain Ngoupo T, Martin Zekeng, Valérie Ngono, Laure Ngono, Serge Alain Sadeuh-Mba, Richard Njouom, Anfumbom Kfutwah

Abstract readComparative Study
In one paragraph

Article in Virology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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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

8 authors.

Elodie Téclaire Ngo-MalaboVirology Department, Centre Pasteur of Cameroon, Po Box 1274, Yaounde, Cameroon.
Paul Alain Ngoupo TVirology Department, Centre Pasteur of Cameroon, Po Box 1274, Yaounde, Cameroon.
Martin ZekengVirology Department, Centre Pasteur of Cameroon, Po Box 1274, Yaounde, Cameroon.
Valérie NgonoVirology Department, Centre Pasteur of Cameroon, Po Box 1274, Yaounde, Cameroon.
Laure NgonoVirology Department, Centre Pasteur of Cameroon, Po Box 1274, Yaounde, Cameroon.
Serge Alain Sadeuh-MbaVirology Department, Centre Pasteur of Cameroon, Po Box 1274, Yaounde, Cameroon.
Richard NjouomVirology Department, Centre Pasteur of Cameroon, Po Box 1274, Yaounde, Cameroon. njouom@pasteur-yaounde.org.ORCID 0000-0003-3112-6370
Anfumbom KfutwahVirology Department, Centre Pasteur of Cameroon, Po Box 1274, Yaounde, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV infection in Cameroon is characterized by a great viral diversity with all HIV-1 groups (M, N, O, and P) and HIV-2 in circulation. HIV group determination is very important if tailored viral load analysis and treatments are to be applied. In our laboratory, HIV viral load is carried out using two platforms; Biocentric and Abbott depending on the HIV group identified. Biocentric which quantifies HIV-1 group M is a cheap and open system useful in resource limited settings. The objective of this study was to compare the viral load analyses of serologically group-indeterminate HIV samples using the two platforms with the view of reducing cost.

methodsConsecutive samples received between March and May 2014, and between August and September 2014 in our laboratory for HIV viral load analysis were included. All these samples were analyzed for their HIV groups using an in-house ELISA serotyping test. All HIV-1 group M samples were quantified using the Biocentric test while all other known atypical samples (HIV-1 groups N, O and P) were analyzed using the Abbott technique. HIV group-indeterminate samples (by serotyping) were quantified with both techniques.

resultsAmong the 6355 plasma samples received, HIV-1 group M was identified in 6026 (94.82%) cases; HIV-1 group O, in 20 (0.31%); HIV-1 group M + O, in 3 (0.05%) and HIV-2, in 3 (0.05%) case. HIV-group indeterminate samples represented about 4.76% (303/6355) and only 231 of them were available for analysis by Abbott Real-Time HIV-1 and Generic HIV Viral Load techniques. Results showed that 188 (81.39%) samples had undetectable viral load in both techniques. All the detectable samples showed high viral load, with a mean of 4.5 log copies/ml (range 2.1-6.5) for Abbott Real-Time and 4.5 log copies/ml (range 2-6.4) for Generic HIV Viral Load. The mean viral load difference between the two techniques was 0.03 log

conclusionOur results suggest that cheaper and open techniques such as Biocentric could be useful alternatives for HIV viral load follow-up quantification in resource limited settings like Cameroon; even with its high viral diversity.

Indexed as

Genetic VariationCameroonHIV-1HIV-2HIV InfectionsHumansReagent Kits, DiagnosticRNA, ViralSensitivity and SpecificitySerologic TestsViral LoadReagent Kits, DiagnosticRNA, ViralAbbott real-time HIV-1Generic HIV viral loadHIV viral load quantificationResource limited settingSerotyping- group indeterminate

Identifiers

PMID29137673
PMCPMC5686852

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Registered trials

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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.