Evidence map›Paper›PMID 38648525›Full record

ArticleAIDS care2024

Heavy alcohol use and the HIV care continuum in Kenya: a population-based study.

Edom Wake, Joseph G Rosen

Open access · greenAbstract read
In one paragraph

Article in AIDS care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Edom WakeDivision of Gastroenterology and Hepatology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Joseph G RosenDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-4991-4033
Johns Hopkins University · US

Funding

The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Viral Load Trajectories and Dynamics among People Living with HIV in Rakai, Uganda: A Mixed-Methods StudyF31MH126796 · NIMH · JOHNS HOPKINS UNIVERSITY · PI ROSEN, JOSEPH GREGORY · 2021 to 2022
$79k
CGH CDC HHS U2G GH001226CGH CDC HHS U2G GH001271NIMH NIH HHS F31 MH126796NIMH NIH HHS R25 MH083620
6 · The paper itself

Abstract

Heavy alcohol use (HAU) can destabilize engagement along the HIV care continuum. Population-based studies assessing associations of HAU with HIV treatment outcomes are lacking, especially in sub-Saharan Africa. We leveraged data from the Kenya Population-based HIV Impact Assessment to identify associations of self-reported HAU, assessed using two items measuring the frequency and quantity of past-year alcohol consumption, with serum biomarkers for HIV serostatus unawareness, antiretroviral therapy (ART) non-use, and HIV viremia (≥1000 RNA copies/mL). Overall and sex-stratified survey-weighted logistic regression with jackknife variance estimation modeled adjusted odds ratios (adjOR) of HIV treatment indicators by HAU. Overall, 1491 persons living with HIV aged 15-64 years (68.4% female) were included. The prevalence of HAU was 8.9% (95% confidence interval [95%CI]: 6.8-11.0%) and was significantly more pronounced in males than females (19.6% vs. 4.0%,

Indexed as

Continuity of Patient CareHIV InfectionsAdolescentAdultAlcohol DrinkingAlcoholismCross-Sectional StudiesFemaleHumansKenyaMaleMiddle AgedPrevalenceYoung Adultantiretroviral therapybinge drinkingHIV treatmentpeople living with HIVpopulation-based HIV impact assessmentsub-Saharan Africa

Identifiers

PMID38648525
PMCPMC11343670
OpenAlexW4395013074

What OpenQuestion holds

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LicenceTDM
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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.