Evidence map›Paper›PMID 25069012›Full record

Trial reportExperimental and clinical psychopharmacology2014

A new look at risk-taking: using a translational approach to examine risk-taking behavior on the balloon analogue risk task.

Kelly S DeMartini, Robert F Leeman, William R Corbin, Benjamin A Toll, Lisa M Fucito, Carl W Lejuez, Stephanie S O'Malley

Abstract readClinical TrialRandomized Controlled Trial
In one paragraph

Trial report in Experimental and clinical psychopharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Kelly S DeMartiniDepartment of Psychiatry, Yale University School of Medicine.
Robert F LeemanDepartment of Psychiatry, Yale University School of Medicine.
William R CorbinDepartment of Psychology, Arizona State University.
Benjamin A TollDepartment of Psychiatry, Yale University School of Medicine.
Lisa M FucitoDepartment of Psychiatry, Yale University School of Medicine.
Carl W LejuezDepartment of Psychology, University of Maryland.
Stephanie S O'MalleyDepartment of Psychiatry, Yale University School of Medicine.

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI John H. Krystal · 2001 to 2026
$43.7M
Naltrexone for Heavy Drinking in Young AdultsR01AA016621 · NIAAA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 2007 to 2011
$3.0M
Improving Alcoholism TreatmentK05AA014715 · NIAAA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 2004 to 2013
$2.1M
Translational Neuroscience Research in Alcoholism (TNRA-TP)T32AA015496 · NIAAA · YALE UNIVERSITY · PI PETRAKIS, ISMENE L. · 2005 to 2014
$1.6M
New Approaches to Smoking Cessation in Heavy DrinkersK23AA020000 · NIAAA · YALE UNIVERSITY · PI FUCITO, LISA M · 2011 to 2016
$755k
Difficulties with Self-Control and High-Risk Alcohol Use in Young AdultsK01AA019694 · NIAAA · YALE UNIVERSITY · PI LEEMAN, ROBERT F · 2010 to 2014
$705k
NIAAA NIH HHS K01 AA019694NIAAA NIH HHS K05 AA014715NIAAA NIH HHS K23 AA020000NIAAA NIH HHS P50 AA012870NIAAA NIH HHS R01 AA016621NIAAA NIH HHS T32 AA015496
6 · The paper itself

Abstract

Models of risk-taking typically assume that the variability of outcomes is important in the likelihood of making a risky choice. In an animal model of the Balloon Analogue Risk Task (BART), within-session variability, or the coefficient of variability (CV), was found to be a novel predictor of behavior (Jentsch et al., 2010). Human studies have not investigated how BART performance differs when using the CV versus a traditional BART measure (e.g., number of pumps). This study sought to determine whether the CV provides a unique and valuable alternative index of risk-taking on the BART, and to determine the relationship of the CV to self-reported alcohol consumption. Young adult heavy drinkers (n = 58, 72% male, mean age 21.53) completed an assessment of drinking patterns and a modified version of the BART. Multiple regression results indicated that CV is a unique predictor of total explosions and total money earned on the BART. Higher levels of variability were associated with fewer explosions but less money earned, whereas more pumps was associated with more explosions but more money. Higher CV was also associated with lower lifetime and past 3 months peak drinking quantity, higher levels of self-efficacy to control drinking, and lower levels of drinking acceptability (i.e., injunctive norms). Total pumps was associated with higher lifetime peak drinking, lower self-efficacy to control drinking, and higher levels drinking acceptability. Overall, the CV can provide an alternative method of assessing BART performance and the association of risk-taking with drinking patterns.

Indexed as

Risk-TakingAdolescentAdultAlcohol DrinkingAnalysis of VarianceAnimalsChoice BehaviorDecision MakingDouble-Blind MethodFemaleHumansImpulsive BehaviorMaleNaltrexoneNarcotic AntagonistsProspective StudiesNaltrexoneNarcotic Antagonists

Identifiers

PMID25069012
PMCPMC4392709

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.