Evidence map›Paper›PMID 34046145›Full record

ArticleThe Pan African medical journal2021

Human immunodeficiency virus (HIV) type 1 genetic diversity in HIV positive individuals on antiretroviral therapy in a cross-sectional study conducted in Teso, Western Kenya.

Maureen Adhiambo, Olipher Makwaga, Ferdinard Adungo, Humphrey Kimani, David Hughes Mulama, Jackson Cheruiyot Korir, Matilu Mwau

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2021. 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
1.3field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 13 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

7 authors at 1 institution in 1 country.

Maureen AdhiamboDepartment of Biological Sciences, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
Olipher MakwagaDepartment of Biological Sciences, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
Ferdinard AdungoDepartment of Infectious Diseases Control Research, Kenya Medical Research Institute, Nairobi, Kenya.
Humphrey KimaniDepartment of Infectious Diseases Control Research, Kenya Medical Research Institute, Nairobi, Kenya.
David Hughes MulamaDepartment of Biological Sciences, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
Jackson Cheruiyot KorirDepartment of Biological Sciences, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
Matilu MwauDepartment of Infectious Diseases Control Research, Kenya Medical Research Institute, Nairobi, Kenya.
Masinde Muliro University of Science and Technology · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionhigh HIV-1 infection rates and genetic diversity especially in African population pose significant challenges in HIV-1 clinical management and drug design and development. HIV-1 is a major health challenge in Kenya and causes mortality and morbidity in the country as well as straining the healthcare system and the economy. This study sought to identify HIV-1 genetic subtypes circulating in Teso, Western Kenya which borders the Republic of Uganda.

methodsa cross-sectional study was conducted in January 2019 to December 2019. Sequencing of the partial pol gene was carried out on 80 HIV positive individuals on antiretroviral therapy. Subtypes and recombinant forms were generated using the jumping profile hidden Markov model. Alignment of the sequences was done using ClustalW program and phylogenetic tree constructed using MEGA7 neighbor-joining method.

resultssixty three samples were successful sequenced. In the analysis of these sequences, it was observed that HIV-1 subtype A1 was predominant 43 (68.3%) followed by D 8 (12.7%) and 1 (1.6%) each of C, G and B and inter-subtype recombinants A1-D 3 (4.8%), A1-B 2 (3.2%) and 1 (1.6%) each of A1-A2, A1-C, BC and BD. Phylogenetic analysis of these sequences showed close clustering of closely related and unrelated sequences with reference sequences.

conclusionthere was observed increased genetic diversity of HIV-1 subtypes which not only pose a challenge in disease control and management but also drug design and development. Therefore, there is need for continued surveillance to enhance future understanding of the geographical distribution and transmission patterns of the HIV epidemic.

Indexed as

Genetic VariationAdolescentAdultAgedAnti-HIV AgentsChildChild, PreschoolCross-Sectional StudiesFemaleHIV-1HIV InfectionsHumansInfantKenyaMaleMiddle AgedAnti-HIV AgentsHIV-1phylogeneticrecombinantssubtypes

Identifiers

PMID34046145
PMCPMC8140725
OpenAlexW3146196287

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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.