Evidence map›Paper›PMID 37378797›Full record

Trial reportAIDS and behavior2023

Concordance of Ethyl Glucuronide, Blood Alcohol Content, and Self-Reported Alcohol Use in Russian Women with HIV and Hepatitis C Virus Co-Infection.

Jennifer L Brown, Ariadna Capasso, Natalia Revzina, Ekaterina Boeva, Vadim Rassokhin, Jessica M Sales, Lyudmila V Gutova, Nadia B Khalezova, Anthony E Hitch, T Dylanne Twitty and 1 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in AIDS and behavior, 2023. 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
–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

1 citing paper in PubMed.

  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

11 authors.

Jennifer L BrownDepartment of Psychological Sciences, Purdue University, 703 3rd Street, Room 1242, West Lafayette, IN, 47907, USA. jenniferbrown@purdue.edu.
Ariadna CapassoHealth Resources in Action, Boston, MA, USA.
Natalia RevzinaU.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ekaterina BoevaFirst Saint Petersburg State Pavlov Medical University, Saint Petersburg, Russia.
Vadim RassokhinFirst Saint Petersburg State Pavlov Medical University, Saint Petersburg, Russia.
Jessica M SalesDepartment of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Lyudmila V GutovaFirst Saint Petersburg State Pavlov Medical University, Saint Petersburg, Russia.
Nadia B KhalezovaFirst Saint Petersburg State Pavlov Medical University, Saint Petersburg, Russia.
Anthony E HitchDepartment of Psychology, University of Cincinnati, Cincinnati, OH, USA.
T Dylanne TwittyDepartment of Psychology, University of Cincinnati, Cincinnati, OH, USA.
Ralph J DiClementeDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA.

Funding

Computer-based Alcohol Reduction Intervention for alcohol-using HIV/HCV+ Russian women in Clinical CareR01AA025882 · NIAAA · NEW YORK UNIVERSITY · PI BROWN, JENNIFER L, DICLEMENTE, RALPH J · 2017 to 2019
$517k
NIAAA NIH HHS R01 AA025882NIAAA NIH HHS R01AA025882
6 · The paper itself

Abstract

Problematic alcohol use is prevalent in Russia and is deleterious for individuals with HIV and Hepatitis C Virus (HCV). Ethyl glucuronide (EtG) and blood alcohol content (BAC) provide objective biomarkers of drinking that can be compared to self-reported alcohol use. This paper describes patterns of alcohol use measured by biomarkers and self-report along with concordance across measures. Participants were Russian women with HIV and HCV co-infection (N = 200; Mean age = 34.9) from two Saint Petersburg comprehensive HIV care centers enrolled in an alcohol reduction intervention clinical trial. Measures were: (a) urine specimen analyzed for EtG; (b) breathalyzer reading of BAC; and (c) self-reported frequency of drinking, typical number of drinks consumed, and number of standard drinks consumed in the past month. At baseline, 64.0% (n = 128) had a positive EtG (> 500 ng/mL) and 76.5% (n = 153) had a positive breathalyzer reading (non-zero reading). There was agreement between EtG and BAC (kappa = 0.66, p < .001; Phi coefficient = 0.69, p < .001); self-reported alcohol measures were positively correlated with positive EtG and BAC (p's < 0.001). There was concordance between EtG and BAC measures, which have differing alcohol detection windows. Most participants endorsed frequent drinking at high quantities, with very few reporting no alcohol consumption in the past month. Concordance between biomarkers and self-reported alcohol use suggests that underreporting of alcohol use was minimal. Results highlight the need for alcohol screening within HIV care. Implications for alcohol assessment within research and clinical contexts are discussed.

Indexed as

CoinfectionHepatitis CHIV InfectionsAdultAlcohol DrinkingBiomarkersBlood Alcohol ContentEthanolFemaleGlucuronatesHepacivirusHumansRussiaSelf ReportBiomarkersBlood Alcohol ContentEthanolethyl glucuronideGlucuronatesAlcoholBlood Alcohol ContentEthyl glucuronideHIV and HCV co-infection

Identifiers

PMID37378797
PMCPMC11571234

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.