Evidence map›Paper›PMID 40961832›Full record

ArticleThe International journal on drug policy2025

Differential risk for Hepatitis C and HIV among people who inject drugs in Kenya: a latent class analysis signaling needs for innovation in service delivery.

Hannah N Manley, Lindsey R Riback, Chenshu Zhang, Peter Vickerman, Jack Stone, Josephine G Walker, Mercy Nyakowa, Rose Wafula, Nazila Ganatra, Matthew J Akiyama

Abstract read
In one paragraph

Article in The International journal on drug policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hannah N ManleyDepartment of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, United States.
Lindsey R RibackDepartment of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, United States.
Chenshu ZhangDepartment of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, United States.
Peter VickermanUniversity of Bristol, Bristol, United Kingdom.
Jack StoneUniversity of Bristol, Bristol, United Kingdom.
Josephine G WalkerUniversity of Bristol, Bristol, United Kingdom.
Mercy NyakowaKenya Ministry of Health, National AIDS&STI Control Program (NASCOP), Nairobi, Kenya.
Rose WafulaKenya Ministry of Health, National AIDS&STI Control Program (NASCOP), Nairobi, Kenya.
Nazila GanatraKenya Ministry of Health, National AIDS&STI Control Program (NASCOP), Nairobi, Kenya.
Matthew J AkiyamaDepartment of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, United States. Electronic address: matthew.akiyama@einsteinmed.edu.

Funding

Leveraging HCV Phylogenetic Networks to Prevent HIV and Other Blood Borne Infections Among People Who Inject DrugsDP2DA053730 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI AKIYAMA, MATTHEW · 2021 to 2021
$2.5M
NIDA NIH HHS DP2 DA053730Wellcome Trust
6 · The paper itself

Abstract

backgroundSubgroups of people who inject drugs (PWID) may experience differential exposure to HIV and hepatitis C (HCV). This study analyzes behavioral risk profiles associated with HIV and HCV infection among PWID, with the aim of identifying subgroups at highest risk and guiding future interventions.

methodsWe recruited PWID in Kenya using respondent driven sampling. Participants completed behavioral surveys and point-of-care HCV, HIV, and hepatitis B (HBV) testing. We used latent class (LC) analysis to divide the sample into mutually exclusive classes based on nine risk- and service access-related measures.

resultsAmong the 3152 participants enrolled, one-fifth (N = 610, 19.4 %) were HCV antibody-positive, one-tenth were HIV-positive (N = 306, 9.7 %), and 1.3 % (N = 40) were HBV-positive. We obtained three LCs: LC1 - long-term, high-frequency PWID with large networks, high access to NSP services, and moderate access to OAT (N = 1522, 48.3 %), LC2 - newer, high-frequency PWID with large networks, moderate access to NSP services, and moderate access to OAT (N = 878, 27.8 %), and LC3 - long-term, low-frequency PWID with small networks, high access to NSP, and moderate access to OAT (N = 752, 23.9 %). HIV and HCV prevalence and risk behaviors differed between the classes, and classes differed in demographic characteristics as well.

conclusionSubgroups of PWID in Kenya have different risk for HIV and HCV, influenced by duration of injection, network size, service access, and other behavioral risk factors. Targeted interventions to meet each subgroup's needs are essential to prevent ongoing HCV and HIV epidemics among PWID.

Indexed as

Hepatitis CHIV InfectionsSubstance Abuse, IntravenousAdultFemaleHealth Services AccessibilityHumansKenyaLatent Class AnalysisMaleMiddle AgedRisk FactorsRisk-TakingYoung AdultHepatitis CHIVInjection drug useLatent class analysisLow- and middle-income countriesPeople who inject drugs

Identifiers

PMID40961832
PMCPMC12497337

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.