Evidence map›Paper›PMID 26223795›Full record

ArticleBMC infectious diseases2015

Hepatitis B virus sero-profiles and genotypes in HIV-1 infected and uninfected injection and Non-injection drug users from coastal Kenya.

Mark K Webale, Mark W Kilongosi, Valentine Budambula, Raphael Lihana, Francis O Musumba, Anthony K Nyamache, Nancy L M Budambula, Aabid A Ahmed, Collins Ouma, Tom Were

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Mark K Webale
Mark W KilongosiDepartment of Biomedical Sciences and Technology, Maseno University, Maseno, Kenya. markkilongosi@gmail.com.
Valentine BudambulaDepartment of Environment and Health Sciences, Technical University of Mombasa, Mombasa, Kenya. valbudambula@gmail.com.
Raphael LihanaCentre for Virus Research, Kenya Medical Research Institute, Nairobi, Kenya. lihanaraphael@gmail.com.
Francis O MusumbaDepartment of Biomedical Sciences and Technology, Maseno University, Maseno, Kenya. fmogollah@gmail.com.
Anthony K NyamacheDepartment of Microbiology, Kenyatta University, Nairobi, Kenya. akibera2000@gmail.com.
Nancy L M BudambulaBomu Hospital, Mombasa, Kenya. nbudambula@yahoo.com.
Aabid A AhmedDepartment of Biological Sciences, Embu University College, Embu, Kenya. aabid.ahmed@bomuhospital.org.
Collins OumaDepartment of Biomedical Sciences and Technology, Maseno University, Maseno, Kenya. collinouma@yahoo.com.
Tom WereDepartment of Medical Laboratory Sciences, Masinde Muliro University of Science and Technology, P. O. Box 190-50100, Kakamega, Kenya. mugogwe@yahoo.com.
Maseno University · KEKenyatta University · KEKenya Medical Research Institute · KEYahoo (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation about HBV sero-markers, infection stages and genotypes in HIV-1 infected and uninfected injection and non-injection drug users (IDUs) in Kenya remains elusive.

methodsA cross-sectional study examining HBV sero-marker, infection stages and genotypes was conducted among HIV-1 infected and uninfected, respectively, IDUs (n = 157 and n = 214) and non-IDUs (n = 139 and n = 48), and HIV-1 uninfected non-drug using controls (n = 194) from coastal, Kenya. HBV sero-marker and infection stages were based on HBV 5-panel rapid test plasma sero-reactivity. DNA was extracted from acute and chronic plasma samples and genotypes established by nested-PCR and direct sequencing.

resultsHBsAg positivity was higher in HIV-1 infected IDUs (9.6%) relative to HIV-1 uninfected IDUs (2.3%), HIV-1 infected non-IDUs (3.6%), HIV-1 uninfected non-IDUs (0.0%) and non-drug users (2.6%; P = 0.002). Contrastingly, HBsAb positivity was higher in HIV-1 uninfected IDUs (14.6%) and non-IDUs (16.8) in comparison to HIV-1 infected IDUs (8.3%), and non-IDUs (8.6%), and non-drug users (8.2%; P = 0.023). HBcAb positivity was higher in HIV-1 infected IDUs (10.2%) compared to HIV-1 uninfected IDUs (3.3%), HIV-1 infected non-IDUs (6.5%), HIV-1 uninfected non-IDUs (2.1%) and non-drug users (4.6%; P = 0.038). Acute (5.7%, 1.4%, 0.0%, 0.0% and 1.5%) and chronic (5.1%, 0.9%, 3.6%, 0.0% and 1.5%) stages were higher in HIV-1 infected IDUs, compared to HIV-1 uninfected IDUs, HIV-1 infected and uninfected non-IDUs and non-drug users, respectively. However, vaccine type response stage was higher in HIV-1 uninfected IDUs (15.4%) relative to HIV-1 infected IDUs (6.4%), and HIV-1 infected (6.5%), and uninfected (10.4%) non-IDUs, and non-drug users (5.7%; P = 0.003). Higher resolved infection rates were also recorded in HIV-1 uninfected IDUs (11.2%) compared to HIV-1 infected IDUs (8.3%), and HIV-1 infected (7.2%), uninfected (6.3%) non-IDUs, and non-drug users (6.7%; P = 0.479), respectively. Only A1 genotype showing minimal diversity was detected among the study participants.

conclusionHBV sero-markers and infection staging are valuable in diagnosis and genotyping of HBV infections. Among IDUs, higher HBsAg and HBcAb positivity in HIV-1 infected and higher HBsAb positivity in HIV-1 negative IDUs suggests frequent exposure. Additionally, HBV genotype A is the dominant circulating genotype in both high and low risk populations of Kenya.

Indexed as

Drug UsersGenotypeHepatitis B virusHIV-1AdolescentAdultBiomarkersCross-Sectional StudiesFemaleHepatitis AntibodiesHepatitis BHepatitis B Surface AntigensHIV AntibodiesHIV InfectionsHumansKenyaBiomarkersHepatitis AntibodiesHepatitis B Surface AntigensHIV Antibodies

Identifiers

PMID26223795
PMCPMC4520198
OpenAlexW2130049400

What OpenQuestion holds

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LicenceCC BY
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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.