Evidence map›Paper›PMID 29953436›Full record

ArticlePloS one2018

Genotyping performance evaluation of commercially available HIV-1 drug resistance test.

Audu Rosemary, Onwuamah Chika, Okpokwu Jonathan, Imade Godwin, Odaibo Georgina, Okwuraiwe Azuka, Musa Zaidat, Chebu Philippe, Ezechi Oliver, Agbaji Oche and 10 more

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

20 authors.

Audu RosemaryNigerian Institute of Medical Research, Lagos, Nigeria.ORCID 0000-0002-0330-5219
Onwuamah ChikaNigerian Institute of Medical Research, Lagos, Nigeria.
Okpokwu JonathanJos University Teaching Hospital, Jos, Nigeria.
Imade GodwinJos University Teaching Hospital, Jos, Nigeria.
Odaibo GeorginaUniversity College Hospital, Ibadan, Nigeria.
Okwuraiwe AzukaNigerian Institute of Medical Research, Lagos, Nigeria.
Musa ZaidatNigerian Institute of Medical Research, Lagos, Nigeria.
Chebu PhilippeAIDS Prevention Initiative in Nigeria, Abuja, Nigeria.
Ezechi OliverNigerian Institute of Medical Research, Lagos, Nigeria.
Agbaji OcheJos University Teaching Hospital, Jos, Nigeria.
Olaleye DavidUniversity College Hospital, Ibadan, Nigeria.
Samuel JayAIDS Prevention Initiative in Nigeria, Abuja, Nigeria.
Dalhatu IbrahimCenters for Disease Control and Prevention, Abuja, Nigeria.
Ahmed MukhtarCenters for Disease Control and Prevention, Abuja, Nigeria.
DeVos JoshuaDivision of Global HIV & TB, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Yang ChunfuDivision of Global HIV & TB, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Raizes ElliotDivision of Global HIV & TB, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Chaplin BethDepartment of Immunology & Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, United States of America.
Kanki PhyllisDepartment of Immunology & Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, United States of America.
Idigbe EmmanuelNigerian Institute of Medical Research, Lagos, Nigeria.

Funding

CGH CDC HHS U01 GH000770PEPFAR
6 · The paper itself

Abstract

backgroundATCC HIV-1 drug resistance test kit was designed to detect HIV-1 drug resistance (HIVDR) mutations in the protease and reverse transcriptase genes for all HIV-1 group M subtypes and circulating recombinant forms. The test has been validated for both plasma and dried blood spot specimen types with viral load (VL) of ≥1000 copies/ml. We performed an in-country assessment on the kit to determine the genotyping sensitivity and its accuracy in detecting HIVDR mutations using plasma samples stored under suboptimal conditions.

methodsAmong 572 samples with VL ≥1000 copies/ml that had been genotyped by ViroSeq assay, 183 were randomly selected, including 85 successful genotyped and 98 unsuccessful genotyped samples. They were tested with ATCC kits following the manufacturer's instructions. Sequence identity and HIVDR patterns were analysed with Stanford University HIV Drug Resistance HIVdb program.

resultsOf the 183 samples, 127 (69.4%) were successfully genotyped by either method. While ViroSeq system genotyped 85/183 (46.5%) with median VL of 32,971 (IQR: 11,150-96,506) copies/ml, ATCC genotyped 115/183 (62.8%) samples with median VL of 23,068 (IQR: 7,397-86,086) copies/ml. Of the 98 unsuccessful genotyped samples with ViroSeq assay, 42 (42.9%) samples with lower median VL of 13,906 (IQR: 6,122-72,329) copies/ml were successfully genotyped using ATCC. Sequence identity analysis revealed that the sequences generated by both methods were >98% identical and yielded similar HIVDR profiles at individual patient level.

conclusionThis study confirms that ATCC kit showed greater sensitivity in genotyping plasma samples stored in suboptimal conditions experiencing frequent and prolonged power outage. Thus, it is more sensitive particularly for subtypes A and A/G HIV-1 in resource-limited settings.

Indexed as

Anti-Retroviral AgentsGenotypeReagent Kits, DiagnosticDrug Resistance, ViralFemaleGenotyping TechniquesHIV-1HumansMaleRandom AllocationAnti-Retroviral AgentsReagent Kits, Diagnostic

Identifiers

PMID29953436
PMCPMC6023177

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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.