Evidence map›Paper›PMID 30603667›Full record

ArticleJournal of substance abuse and alcoholism2018

Heavy Drinking and Treatment among HIV/HCV Co-Infected Patients.

Jennifer C Elliott, Noga Shalev, Deborah S Hasin

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse and alcoholism, 2018. 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
0.1field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Jennifer C ElliottNew York State Psychiatric Institute, USA.
Noga ShalevDivision of Infectious Diseases, Columbia University Medical Center, USA.
Deborah S HasinNew York State Psychiatric Institute, USA.
Columbia University Irving Medical Center · USNew York State Psychiatric Institute

Funding

HealthCall: Enhancing brief intervention for HIV primary care alcohol dependenceR01AA023163 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2014 to 2018
$3.5M
Understanding and intervening with heavy drinking among patients with HIV and HCVK23AA023753 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI ELLIOTT, JENNIFER CHRISTINE · 2015 to 2019
$972k
NIAAA NIH HHS K23 AA023753NIAAA NIH HHS R01 AA023163
6 · The paper itself

Abstract

aimsGiven the efficacy of new medications for Hepatitis C virus (HCV), we aimed to determine whether drinking relates to HCV treatment access among the high-risk group of individuals with HIV/HCV co-infection.

methodsWe sampled 210 patients in a sexual health clinic; of these, 39 reported HIV/HCV co-infection (79.49% male; 56.41% Black). Patients completed a self-report survey on drinking and treatment history.

resultsThose drinking despite health problems reported less HCV treatment (p =0.035). Drinking despite health problems did not relate to whether HCV treatment was recommended by providers, and binge drinking did not relate to either HCV outcome. Drinking was unrelated to HIV treatment.

conclusionsHIV/HCV co-infected individuals drinking despite health problems are in urgent need of attention, to reduce drinking and increase engagement in treatment. Drinking despite health problems m ay serve as an effective screening question to identify HIV/HCV co-infected drinkers who are most at risk of being untreated.

Indexed as

AlcoholDrinkingHepatitis CHIVTreatment

Identifiers

PMID30603667
PMCPMC6312191
OpenAlexW3022027576

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.