Evidence map›Paper›PMID 27392417›Full record

ArticleAIDS and behavior2017

Direct and Indirect Effects of Heavy Alcohol Use on Clinical Outcomes in a Longitudinal Study of HIV Patients on ART.

Christopher W Kahler, Tao Liu, Patricia A Cioe, Vaughn Bryant, Megan M Pinkston, Erna M Kojic, Nur Onen, Jason V Baker, John Hammer, John T Brooks and 1 more

Abstract read
In one paragraph

Article in AIDS and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 55 citations in OpenAlex.

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  11. Rural Veterans with HIV and Alcohol Use Disorder receive less video telehealth than urban Veterans.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024
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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 at 6 institutions in 1 country.

Christopher W KahlerCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Box G-S121-4, Providence, RI, 02912, USA. Christopher_Kahler@brown.edu.
Tao LiuCenter for Statistical Sciences, Brown University School of Public Health, Providence, RI, USA.
Patricia A CioeCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Box G-S121-4, Providence, RI, 02912, USA.
Vaughn BryantDepartment of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.
Megan M PinkstonDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
Erna M KojicDepartment of Infectious Disease, Brown University, Providence, RI, USA.
Nur OnenWashington University School of Medicine, St. Louis, MO, USA.
Jason V BakerDivision of Infectious Diseases, Hennepin County Medical Center, University of Minnesota, Minneapolis, MN, USA.
John HammerDenver Infectious Disease Consultants, Denver, CO, USA.
John T BrooksDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Pragna PatelDivision of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Brown University · USCenters for Disease Control and Prevention · USInfectious Disease Consultants · USUniversity of Florida Health · USUniversity of Minnesota · USWashington University in St. Louis · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI WRAY, TYLER BLAKE · 2010 to 2024
$19.7M
Substance Abuse Intervention/Outcome Research TrainingT32DA016184 · NIDA · BROWN UNIVERSITY · PI Damaris J. Rohsenow, JENNIFER W. TIDEY · 2003 to 2026
$6.1M
Optimizing HIV Treatment Monitoring under Resource ConstraintsR01AI108441 · NIAID · BROWN UNIVERSITY · PI HOGAN, JOSEPH W, KANTOR, RAMI · 2015 to 2019
$3.5M
Working memory: a critical factor underlying alcohol reduction intervention responseF31AA024060 · NIAAA · UNIVERSITY OF FLORIDA · PI BRYANT, VAUGHN E · 2015 to 2017
$115k
Intramural CDC HHS CC999999NIAAA NIH HHS F31 AA024060NIAAA NIH HHS P01 AA019072NIAID NIH HHS P30 AI042853NIAID NIH HHS R01 AI108441NIDA NIH HHS T32 DA016184
6 · The paper itself

Abstract

In a cohort of patients receiving care for HIV, we examined longitudinally the impact of past 30-day frequency of heavy drinking (consuming 5+ drinks on one occasion) on HIV-related (detectable viral load and CD4+ T cell count) and non-HIV-related (hemoglobin and biomarkers of kidney function and liver fibrosis) clinical outcomes and the extent to which these effects were due to reduced antiretroviral therapy (ART) adherence. Data came from the Study to Understand the Natural History of HIV/AIDS in the Era of Effective Therapy. Between March 2004 and June 2006, 533 individuals receiving ART were recruited and followed every 6 months for six years. Using longitudinal mediation analysis, we estimated natural direct effects (NDE) of heavy drinking frequency (never, 1-3 times, or 4+ times in the past 30 days) on clinical outcomes and natural indirect effects (NIE) mediated via ART adherence. A one-level increase in heavy drinking frequency had a significant negative NDE on CD4+ T-cell counts (-10.61 cells/mm

Indexed as

AdultAgedAlcohol DrinkingAnti-HIV AgentsBiomarkersCD4 Lymphocyte CountCD4-Positive T-LymphocytesFemaleGlomerular Filtration RateHemoglobinsHIV InfectionsHumansKidney Function TestsLiver Function TestsLongitudinal StudiesMaleAnti-HIV AgentsBiomarkersHemoglobinsAdherenceAlcoholHIVLiver functionVACS IndexViral load

Identifiers

PMID27392417
PMCPMC5219952
OpenAlexW2460166417

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.