Evidence map›Paper›PMID 25220898›Full record

Trial reportDrug and alcohol dependence2014

Pain is associated with risky drinking over time among HIV-infected persons in St. Petersburg, Russia.

Judith I Tsui, Debbie M Cheng, Sharon M Coleman, Marlene C Lira, Elena Blokhina, Carly Bridden, Evgeny Krupitsky, Jeffrey H Samet

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 22% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 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 3 institutions in 2 countries.

Judith I TsuiDepartment of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston University School of Medicine/Boston Medical Center, 801 Massachusetts Avenue, 2nd Floor, Boston, MA 02118-2605, USA. Electronic address: judith.tsui@bmc.org.
Debbie M ChengDepartment of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston University School of Medicine/Boston Medical Center, 801 Massachusetts Avenue, 2nd Floor, Boston, MA 02118-2605, USA; Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue, 3rd Floor, Boston, MA 02118-2605, USA.
Sharon M ColemanData Coordinating Center, Boston University School of Public Health, 801 Massachusetts Avenue, 3rd Floor, Boston, MA 02118-2605, USA.
Marlene C LiraDepartment of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston Medical Center, 801 Massachusetts Avenue, 2nd Floor, Boston, MA 02118-2605, USA.
Elena BlokhinaLaboratory of Clinical Pharmacology of Addictions, First St. Petersburg Pavlov State Medical University, Lev Tolstoy Street 6/8, St. Petersburg 197022, Russia.
Carly BriddenDepartment of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston Medical Center, 801 Massachusetts Avenue, 2nd Floor, Boston, MA 02118-2605, USA.
Evgeny KrupitskyLaboratory of Clinical Pharmacology of Addictions, First St. Petersburg Pavlov State Medical University, Lev Tolstoy Street 6/8, St. Petersburg 197022, Russia; Department of Addictions, Bekhterev Research Psychoneurological Institute, Bekhtereva Street 3, St. Petersburg 192019, Russia.
Jeffrey H SametDepartment of Medicine, Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston University School of Medicine/Boston Medical Center, 801 Massachusetts Avenue, 2nd Floor, Boston, MA 02118-2605, USA; Department of Community Health Sciences, Boston University School of Public Health, 801 Massachusetts Avenue, 2nd Floor, Boston, MA 02118-2605, USA.
Boston University · USBoston Medical Center · USFirst Pavlov State Medical University of St. Petersburg · RU

Funding

Clinical Addiction Research and Education ProgramR25DA013582 · NIDA · BOSTON MEDICAL CENTER · PI JEFFREY H. SAMET, Alexander Yale Walley · 2001 to 2026
$8.9M
URBAN ARCH (2/5) Biostatistics and Data Management Core (BDM)U24AA020779 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHENG, DEBBIE M. · 2011 to 2020
$3.6M
URBAN ARCH (1/5) Administrative Coordinating Core (Admin Core)U24AA020778 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2011 to 2020
$3.5M
Maximizing Opportunity - HIV Prevention in Hospitalized Russian DrinkersR01AA016059 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2006 to 2010
$3.2M
Impact of Alcohol Use on HIV Infection--In the United States and RussiaK24AA015674 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2006 to 2010
$756k
HCV and Pain in Substance Users With and Without HIVK23DA027367 · NIDA · BOSTON MEDICAL CENTER · PI TSUI, JUDITH · 2010 to 2013
$651k
NIAAA NIH HHS K24 AA015674NIAAA NIH HHS K24AA015674NIAAA NIH HHS R01 AA016059NIAAA NIH HHS R01AA016059NIAAA NIH HHS U24 AA020778NIAAA NIH HHS U24AA020778NIAAA NIH HHS U24 AA020779NIAAA NIH HHS U24AA020779NIDA NIH HHS K23 DA027367NIDA NIH HHS K23DA027367NIDA NIH HHS R01DA013582NIDA NIH HHS R25 DA013582
6 · The paper itself

Abstract

backgroundPain is highly prevalent among persons with HIV. Alcohol may be used to "self-medicate" pain. This study examined the association between pain and risky alcohol use over time in a cohort of HIV-infected Russian drinkers.

methodsThis secondary analysis utilized longitudinal data from a randomized trial of a behavioral intervention. Subjects included HIV-infected adults who reported past 6-month risky drinking and unprotected sex and were recruited from HIV and addiction treatment sites in St. Petersburg, Russia. The main independent variable was pain that at least moderately interfered with daily living. The primary outcome was past month risky drinking amounts based on NIAAA guidelines. General estimating equations (GEE) logistic regression models were used to calculate odds ratios and 95% confidence intervals for the association between pain and risky drinking over time (i.e., baseline, 6 and 12 months), adjusting for potential confounders.

resultsBaseline characteristics of participants (n=699) were mean age of 30 (SD ±5) years, 41% female, and 22% <9th grade education. Nearly one quarter (24%) had a CD4 cell count <200 cells/μl, and only 17% were on antiretroviral therapy. Nearly half (46%) reported at least moderate pain interference in the past month and 81% were drinking risky amounts. In adjusted longitudinal GEE models, pain was significantly associated with greater odds of reporting past month risky drinking (AOR = 1.34, 95% CI: 1.05-1.71, p value=0.02).

conclusionsAmong a cohort of HIV-infected Russian drinkers, pain that at least moderately interfered with daily living was associated with higher odds of reporting risky drinking amounts over time.

Indexed as

AdultAlcohol DrinkingAlcoholismCohort StudiesFemaleHIV InfectionsHumansLongitudinal StudiesMaleMiddle AgedPainRussiaTime FactorsHIVPainRisky alcohol useRussia

Identifiers

PMID25220898
PMCPMC4252482
OpenAlexW2010051299

What OpenQuestion holds

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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.