Evidence map›Paper›PMID 30304061›Full record

ArticlePloS one2018

HIV-genetic diversity and drug resistance transmission clusters in Gondar, Northern Ethiopia, 2003-2013.

Dawit Assefa Arimide, Almaz Abebe, Yenew Kebede, Fekadu Adugna, Tesfaye Tilahun, Desta Kassa, Yibeltal Assefa, Taye Tolera Balcha, Per Björkman, Patrik Medstrand

Open access · goldAbstract read
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 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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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

10 authors at 6 institutions in 3 countries.

Dawit Assefa ArimideDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Almaz AbebeThe Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Yenew KebedeCenter for Disease Control and Prevention (CDC)-Ethiopia, Addis Ababa, Ethiopia.
Fekadu AdugnaWorld Health Organization (WHO)-Ethiopia, Addis Ababa, Ethiopia.
Tesfaye TilahunThe Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Desta KassaThe Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Yibeltal AssefaSchool of Public Health, University of Queensland, Brisbane, Australia.
Taye Tolera BalchaArman Hansen research Institute (AHRI), Addis Ababa, Ethiopia.
Per BjörkmanDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Patrik MedstrandDepartment of Translational Medicine, Lund University, Malmö, Sweden.ORCID 0000-0003-4259-8744
Ethiopian Public Health Institute · ETLund University · SEAfrica Centres for Disease Control and Prevention · ETArmauer Hansen Research Institute · ETGovernment of Ethiopia · ETThe University of Queensland · AU

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe HIV-1 epidemic in Ethiopia has been shown to be dominated by two phylogenetically distinct subtype C clades, the Ethiopian (C'-ET) and East African (C-EA) clades, however, little is known about the temporal dynamics of the HIV epidemic with respect to subtypes and distinct clades. Moreover, there is only limited information concerning transmission of HIV-1 drug resistance (TDR) in the country.

methodsA cross-sectional survey was conducted among young antiretroviral therapy (ART)-naïve individuals recently diagnosed with HIV infection, in Gondar, Ethiopia, 2011-2013 using the WHO recommended threshold survey. A total of 84 study participants with a median age of 22 years were enrolled. HIV-1 genotyping was performed and investigated for drug resistance in 67 individuals. Phylogenetic analyses were performed on all available HIV sequences obtained from Gondar (n = 301) which were used to define subtype C clades, temporal trends and local transmission clusters. Dating of transmission clusters was performed using BEAST.

resultFour of 67 individuals (6.0%) carried a HIV drug resistance mutation strain, all associated with non-nucleoside reverse transcriptase inhibitors (NNRTI). Strains of the C-EA clade were most prevalent as we found no evidence of temporal changes during this time period. However, strains of the C-SA clade, prevalent in Southern Africa, have been introduced in Ethiopia, and became more abundant during the study period. The oldest Gondar transmission clusters dated back to 1980 (C-EA), 1983 (C-SA) and 1990 (C'-ET) indicating the presence of strains of different subtype C clades at about the same time point in Gondar. Moreover, some of the larger clusters dated back to the 1980s but transmissions within clusters have been ongoing up till end of the study period. Besides being associated with more sequences and larger clusters, the C-EA clade sequences were also associated with clustering of HIVDR sequences. One cluster was associated with the G190A mutation and showed onward transmissions at high rate.

conclusionTDR was detected in 6.0% of the sequenced samples and confirmed pervious reports that the two subtype C clades, C-EA and C'-ET, are common in Ethiopia. Moreover, the findings indicated an increased diversity in the epidemic as well as differences in transmission clusters sizes of the different clades and association with resistance mutations. These findings provide epidemiological insights not directly available using standard surveillance and may inform the adjustment of public health strategies in HIV prevention in Ethiopia.

Indexed as

AdolescentAdultCross-Sectional StudiesDrug Resistance, ViralEthiopiaFemaleGenetic VariationHIV-1HIV InfectionsHumansMutationReverse Transcriptase InhibitorsYoung AdultReverse Transcriptase Inhibitors

Identifiers

PMID30304061
PMCPMC6179264
OpenAlexW2896196515

What OpenQuestion holds

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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.