Evidence map›Paper›PMID 35062890›Full record

ArticleBMC infectious diseases2022

Characteristics associated with HIV and hepatitis C seroprevalence among sexual and injecting partners of HIV positive persons who inject drugs in Nairobi and coastal Kenya.

Betsy C Sambai, Hanley Kingston, Aliza Monroe-Wise, Loice Mbogo, Emily Juma, Natasha Ludwig-Barron, Brandon L Guthrie, David Bukusi, Bhavna H Chohan, John Scott and 7 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Article
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

17 authors.

Betsy C Sambai *HTC and HIV Care, Kenyatta National Hospital, Box 20723-00202, Nairobi, Kenya.
Hanley Kingston *Institute of Public Health Genetics, University of Washington, UW Box #351620, Seattle, WA, 98195, USA. hkings@uw.edu.
Aliza Monroe-WiseDepartment of Global Health, School of Public Health, University of Washington, UW Box #351620, Seattle, WA, 98195, USA.
Loice MbogoGlobal Assistance Program-Kenya, University of Washington, Box #20723-0020, Nairobi, Kenya.
Emily JumaHTC and HIV Care, Kenyatta National Hospital, Box 20723-00202, Nairobi, Kenya.
Natasha Ludwig-BarronDepartment of Global Health, School of Public Health, University of Washington, UW Box #351620, Seattle, WA, 98195, USA.
Brandon L GuthrieDepartment of Global Health, School of Public Health, University of Washington, UW Box #351620, Seattle, WA, 98195, USA.
David BukusiHTC and HIV Care, Kenyatta National Hospital, Box 20723-00202, Nairobi, Kenya.
Bhavna H ChohanDepartment of Global Health, School of Public Health, University of Washington, UW Box #351620, Seattle, WA, 98195, USA.
John ScottDepartment of Medicine, Division of Allergy and Infectious Diseases, University of Washington, Box #356423, Seattle, WA, 98195, USA.
Rose BosireCentre for Clinical Research, Kenya Medical Research Institute (KEMRI), Box 54840-00200, Nairobi, Kenya.
Matthew DunbarCenter for Studies in Demography and Ecology, University of Washington, Seattle, WA, 98195, USA.
Paul MachariaGlobal Assistance Program-Kenya, University of Washington, Box #20723-0020, Nairobi, Kenya.
Sarah MasyukoDepartment of Global Health, School of Public Health, University of Washington, UW Box #351620, Seattle, WA, 98195, USA.
William SinkeleSupport for Addictions Prevention and Treatment in Africa (SAPTA), Box #21761-00505, Nairobi, Kenya.
Joshua T HerbeckDepartment of Global Health, School of Public Health, University of Washington, UW Box #351620, Seattle, WA, 98195, USA.
Carey FarquharDepartment of Global Health, School of Public Health, University of Washington, UW Box #351620, Seattle, WA, 98195, USA.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
TRAINEESHIPS IN AIDS PREVENTION STUDIEST32MH019105 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carol Suzanne Camlin, Glenn-Milo Santos · 1989 to 2026
$15.3M
Promoting Diversity, Equity, and Inclusivity in Research Training to Optimize HIV Prevention and TreatmentD43TW009580 · FIC · UNIVERSITY OF WASHINGTON · PI CAREY FARQUHAR, John Kinuthia · 2013 to 2026
$4.8M
Integrating Assisted Partner Services and Phylogenetics for HIV and HCV PreventionR01DA043409 · NIDA · UNIVERSITY OF WASHINGTON · PI FARQUHAR, CAREY, HERBECK, JOSHUA T · 2017 to 2021
$3.6M
Predoctoral Research Training in Statistical Genetics Administrative SupplementT32GM081062 · NIGMS · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2007 to 2021
$2.4M
FIC NIH HHS D43 TW009580FIC NIH HHS D43TW009580NIAID NIH HHS P30 AI027757NIDA NIH HHS R01 DA043409NIGMS NIH HHS T32 GM081062NIMH NIH HHS T32 MH019105
6 · The paper itself

Abstract

backgroundPersons who inject drugs (PWID) have higher HIV and hepatitis C virus (HCV) seroprevalence than the general population in many parts of sub-Saharan Africa (SSA). The seroprevalences of HIV and HCV are also higher in coastal Kenya than in Nairobi. Understanding drivers of regional HIV and HCV variation among PWID in Kenya may inform population-specific prevention interventions.

methodsUsing a cross-sectional study, we defined HIV and HCV seroprevalence among persons identified as sexual or injecting partners of HIV positive PWID in two regions of Kenya and used logistic regression to identify demographic and behavioral characteristics associated with higher seroprevalence.

resultsAmong 2386 partners, 469 (19.7%) tested HIV positive and 297(12.4%) tested HCV antibody positive. Partners on the Coast were more likely to live with HIV (seroprevalences: Coast = 23.8%, Nairobi = 17.1%; p < 0.001) and be HCV antibody positive (seroprevalences: Coast = 17.0%, Nairobi = 8.6%; p < 0.001). After adjusting for sex, age, and years injecting and accounting for clustering by site, the higher prevalence of both diseases in the Coast remained significant for HIV (OR 1.68, 95% CI 1.13-2.51) but not for HCV (OR 1.72, 95% CI 0.84-3.74). Compared to those recruited in Nairobi, partners on the Coast were older (Coast = 35 years, Nairobi = 31 years; p < 0.001), more likely to be male (Coast = 77.6%, Nairobi = 61.7%; p < 0.001), to have paid (Coast = 59.2%, Nairobi = 32.8%; p < 0.001) or received (Coast = 44.2%, Nairobi 35.4%; p < 0.001) money for sex, or to have had sex with someone they knew to be HIV positive (Coast 22.0%, Nairobi 10.8%; p < 0.001). Partners who had injected for five or more years had 1.48 times greater odds (95% CI 1.20-1.82) of living with HIV compared to partners who injected less than 5 years and more than twice the odds of HCV (95% CI 1.84-4.11).

conclusionHIV and HCV seroprevalence among sexual and injecting partners of PWID was, respectively, 5 times and > 12 times greater than is reported among the general population in Kenya (4% and < 1%, respectively). Providing resources and education will be crucial to reduce exposure and to maintain the lower needle and equipment sharing that we observed compared to other studies.

Indexed as

Drug UsersHepatitis CHIV InfectionsPharmaceutical PreparationsSubstance Abuse, IntravenousCross-Sectional StudiesFemaleHepacivirusHumansKenyaMalePrevalenceRisk-TakingSeroepidemiologic StudiesPharmaceutical PreparationsHepatitis C (HCV)HIVPersons who inject drugs (PWID)Sub-Saharan Africa (SSA)

Identifiers

PMID35062890
PMCPMC8780315

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.