Evidence map›Paper›PMID 26148140›Full record

ArticleAlcoholism, clinical and experimental research2015

Comparison of Traditional and Novel Self-Report Measures to an Alcohol Biomarker for Quantifying Alcohol Consumption Among HIV-Infected Adults in Sub-Saharan Africa.

Stephen B Asiimwe, Robin Fatch, Nneka I Emenyonu, Winnie R Muyindike, Allen Kekibiina, Glenn-Milo Santos, Thomas K Greenfield, Judith A Hahn

Abstract readComparative Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 3 institutions in 2 countries.

Stephen B AsiimweDepartment of Medicine, Mbarara Regional Referral Hospital, Mbarara, Uganda.
Robin FatchDepartment of Medicine, University of California, San Francisco, California.
Nneka I EmenyonuDepartment of Medicine, University of California, San Francisco, California.
Winnie R MuyindikeDepartment of Medicine, Mbarara Regional Referral Hospital, Mbarara, Uganda.
Allen KekibiinaDepartment of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Glenn-Milo SantosSan Francisco Department of Public Health, San Francisco, California.
Thomas K GreenfieldAlcohol Research Group, Public Health Institute, Emeryville, California.ORCID http://orcid.org/0000-0002-3108-4812
Judith A HahnDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California.
University of California, San Francisco · USMbarara University of Science and Technology · UGPublic Health Institute · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI LUI, CAMILLIA K. · 1985 to 2025
$34.1M
UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
Statistical and Data Services Infrastructure CoreP30AA005595 · NIAAA · PUBLIC HEALTH INSTITUTE · PI BOND, JASON C · 2006 to 2010
$7.2M
URBAN ARCH (3/5) Uganda Cohort TB preventive therapy for HIV-infected alcohol users in Uganda: an evaluation of safety tolerability and adherenceU01AA020776 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2011 to 2021
$4.7M
Changes in Alcohol Consumption in HIV Positives in UgandaR01AA018631 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2010 to 2013
$2.0M
Training in Research Program on Alcohol Use by Persons with our at Risk for HIVK24AA022586 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2013 to 2023
$1.8M
Improving Alcohol Consumption Self-Report MeasurementR01AA013309 · NIAAA · PUBLIC HEALTH INSTITUTE · PI GREENFIELD, THOMAS K · 2003 to 2007
$1.6M
NIAAA NIH HHS K24 AA022586NIAAA NIH HHS P30 AA005595NIAAA NIH HHS P50 AA005595NIAAA NIH HHS R01 AA013309NIAAA NIH HHS R01 AA018631NIAAA NIH HHS U01 AA020776NIAID NIH HHS P30 AI027763NIDDK NIH HHS P30 DK026743
6 · The paper itself

Abstract

backgroundIn Sub-Saharan Africa (SSA), HIV-infected patients may underreport alcohol consumption. We compared self-reports of drinking to phosphatidylethanol (PEth), an alcohol biomarker. In particular, we assessed beverage-type-adjusted fractional graduated frequency (FGF) and quantity frequency (QF) measures of grams of alcohol, novel nonvolume measures, and the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C).

methodsWe analyzed cohort entry data from the Biomarker Research of Ethanol Among Those with HIV cohort study (2011 to 2013). Participants were HIV-infected past-year drinkers, newly enrolled into care. Self-report measures included FGF and QF grams of alcohol, the AUDIT-C, number of drinking days, and novel adaptations of FGF and QF methods to expenditures on alcohol, time spent drinking, and symptoms of intoxication. PEth levels were measured from dried blood spots. We calculated Spearman's rank correlation coefficients of self-reports with PEth and bias-corrected bootstrap 95% confidence intervals (CIs) for pairwise differences between coefficients.

resultsA total of 209 subjects (57% men) were included. Median age was 30; interquartile range (IQR) 25 to 38. FGF grams of alcohol over the past 90 days (median 592, IQR 43 to 2,137) were higher than QF grams (375, IQR 33 to 1,776), p < 0.001. However, both measures were moderately correlated with PEth: ρ = 0.58, 95% CI 0.47 to 0.66 for FGF grams and 0.54, 95% CI 0.43 to 0.63 for QF grams (95% CI for difference -0.017 to 0.099, not statistically significant). AUDIT-C, time drinking, and a scale of symptoms of intoxication were similarly correlated with PEth (ρ = 0.35 to 0.57).

conclusionsHIV-infected drinkers in SSA likely underreport both any alcohol consumption and amounts consumed, suggesting the need to use more objective measures like biomarkers when measuring drinking in this population. Although the FGF method may more accurately estimate drinking than QF methods, the AUDIT-C and other nonvolume measures may provide simpler alternatives.

Indexed as

AdultAfrica South of the SaharaAlcohol DrinkingBiomarkersCohort StudiesCross-Sectional StudiesFemaleGlycerophospholipidsHIV InfectionsHumansMaleSelf ReportBiomarkersGlycerophospholipidsphosphatidylethanolFractional Graduated FrequencyPhosphatidylethanolQuantity FrequencySelf-Report Measures of Alcohol ConsumptionSub-Saharan Africa

Identifiers

PMID26148140
PMCPMC4515166
OpenAlexW1515002343

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.