Evidence map›Paper›PMID 31829199›Full record

ArticleHarm reduction journal2019

HIV/HCV co-infection and associated risk factors among injecting drug users in Dar es Salaam, Tanzania: potential for HCV elimination.

Germana Henry Leyna, Neema Makyao, Alexander Mwijage, Angela Ramadhan, Samuel Likindikoki, Mucho Mizinduko, Melkizedeck Thomas Leshabari, Kåre Moen, Elia John Mmbaga

Abstract read
In one paragraph

Article in Harm reduction journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. HCV and HIV co-infection among people who inject drugs in Vietnam.Journal of health and social sciences · 2020
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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

9 authors.

Germana Henry LeynaDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, P.O. Box 65015, Dar es Salaam, Tanzania.
Neema MakyaoMinistry of Health, Community Development, Gender, Elderly and Children, Dodoma, Tanzania.
Alexander MwijageDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, P.O. Box 65015, Dar es Salaam, Tanzania.
Angela RamadhanMinistry of Health, Community Development, Gender, Elderly and Children, Dodoma, Tanzania.
Samuel LikindikokiDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, P.O. Box 65015, Dar es Salaam, Tanzania.
Mucho MizindukoDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, P.O. Box 65015, Dar es Salaam, Tanzania.
Melkizedeck Thomas LeshabariDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, P.O. Box 65015, Dar es Salaam, Tanzania.
Kåre MoenUniversity of Oslo, Oslo, Norway.
Elia John MmbagaDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, P.O. Box 65015, Dar es Salaam, Tanzania. eliajelia@yahoo.co.uk.ORCID 0000-0003-3768-0225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic HCV infection causes substantial morbidity and mortality and, in co-infection with HIV, may result in immunological and virological failure following antiretroviral treatment. Estimates of HCV infection, co-infection with HIV and associated risk practices among PWID are scarce in Africa. This study therefore aimed at estimating the prevalence of HCV and associated risk factors among PWID in the largest metropolitan city in Tanzania to inform WHO elimination recommendations.

methodsAn integrated bio-behavioral survey using respondent-driven sampling was used to recruit PWID residing in Dar es Salaam, Tanzania. Following face-to-face interviews, blood samples were collected for HIV and HCV testing. Weighted modified Poisson regression modeling with robust standard errors was used in the analysis.

resultsA total of 611 PWID with a median age of 34 years (IQR, 29-38) were recruited through 4 to 8 waves. The majority of participants (94.3%) were males, and the median age at first injection was 24 years (IQR, 19-30). Only 6.55% (40/611) of participants reported to have been enrolled in opioid treatment programs. The weighted HCV antibody prevalence was 16.2% (95%CI, 13.0-20.1). The corresponding prevalence of HIV infection was 8.7% (95%CI, 6.4-11.8). Of the 51 PWID who were infected with HIV, 22 (43.1%) were HCV seropositive. Lack of access to clean needles (adjusted prevalence ratio (APR), 1.76; 95%CI, 1.44; 12.74), sharing a needle the past month (APR, 1.72; 95%CI, 1.02; 3.00), not cleaning the needle the last time shared (APR, 2.29; 95%CI, 1.00; 6.37), and having unprotected not using a transactional sex (APR, 1.87; 95%CI, 1.00; 3.61) were associated with increased risk of HCV infection. On the other hand, not being on opioid substitution therapy was associated with 60% lower likelihood of infection.

conclusionsThe HCV antibody prevalence among PWID is lower than global estimates indicating potential for elimination. Improving access to safe injecting paraphernalia, promoting safer injecting practices is the focus of prevention programing. Screening for HIV/HCV co-infection should be intensified in HIV care, opioid substitution programs, and other point of care for PWID. Use of direct-acting antiretroviral treatment would accelerate the achievement of hepatitis infection elimination goal by 2030.

Indexed as

Community-Institutional RelationsComorbidityFocus GroupsHepatitis CHIV InfectionsHumansInterview, PsychologicalPeer GroupPrevalenceRisk FactorsSafety ManagementSubstance Abuse, IntravenousTanzaniaEliminationHCVHIVInjecting drugsRisk factorsTanzania

Identifiers

PMID31829199
PMCPMC6907336

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.