Evidence map›Paper›PMID 28620802›Full record

ArticleAIDS and behavior2018

At-Risk Alcohol Use Among HIV-Positive Patients and the Completion of Patient-Reported Outcomes.

Jacqueline E Rudolph, Stephen R Cole, Jessie K Edwards, Richard Moore, Conall O'Cleirigh, Wm Christopher Mathews, Katerina Christopoulos, Center for AIDS Research Network of Integrated Clinical Systems

Abstract read
In one paragraph

Article in AIDS and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Jacqueline E RudolphDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 2101 McGavran Greenberg Hall, CB# 7435, Chapel Hill, NC, 27599, USA. jerudolp@live.unc.edu.ORCID 0000-0001-7177-1847
Stephen R ColeDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 2101 McGavran Greenberg Hall, CB# 7435, Chapel Hill, NC, 27599, USA.
Jessie K EdwardsDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 2101 McGavran Greenberg Hall, CB# 7435, Chapel Hill, NC, 27599, USA.
Richard MooreDepartment of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Conall O'CleirighHarvard Medical School, Boston, MA, USA.
Wm Christopher MathewsDepartment of Medicine, University of California at San Diego, San Diego, CA, USA.
Katerina ChristopoulosDepartment of Medicine, University of California at San Francisco, San Francisco, CA, USA.
Center for AIDS Research Network of Integrated Clinical Systems
University of North Carolina at Chapel Hill · USHarvard University · USJohns Hopkins University · USUniversity of California San Diego · USUniversity of California, San Francisco · US

Funding

Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Structural models for treatment and exposure effects in clinical HIV cohortsR01AI100654 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COLE, STEPHEN R · 2013 to 2016
$1.6M
NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI100654NIAID NIH HHS R24 AI067039NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

Heavy drinking is prevalent among people living with HIV. Studies use tools like patient-reported outcomes (PROs) to quantify alcohol use in a detailed, timely manner. However, if alcohol misuse influences PRO completion, selection bias may result. Our study included 14,145 adult HIV patients (133,036 visits) from CNICS who were eligible to complete PROs at an HIV primary care visit. We compared PRO completion proportions between patients with and without a clinical diagnosis of at-risk alcohol use in the prior year. We accounted for confounding by baseline and visit-specific covariates. PROs were completed at 20.8% of assessed visits. The adjusted difference in PRO completion proportions was -3.2% (95% CI -5.6 to -0.8%). The small association between receipt of an at-risk alcohol use diagnosis and decreased PRO completion suggests there could be modest selection bias in studies using the PRO alcohol measure.

Indexed as

Quality of Health CareAdultAlcohol DrinkingAlcohol-Related DisordersFemaleHIV InfectionsHumansMaleMiddle AgedPatient Reported Outcome MeasuresAlcohol consumptionHIVPatient-reported outcomesPROsSelection bias

Identifiers

PMID28620802
PMCPMC5971659
OpenAlexW2627024219

What OpenQuestion holds

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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.