Evidence map›Paper›PMID 32500211›Full record

ArticlePsychopharmacology2020

Impulsive decision-making predicts the course of substance-related and addictive disorders.

Anja Kräplin, Michael Höfler, Shakoor Pooseh, Max Wolff, Klaus-Martin Krönke, Thomas Goschke, Gerhard Bühringer, Michael N Smolka

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Psychopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04498988 (Volitional Dysfunction in Self-control Failures and Addictive Behaviors), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.7field-weighted citation impact, top 6% 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.

NCT04498988 completednot on this map

Volitional Dysfunction in Self-control Failures and Addictive Behaviors

TypeobservationalSponsorTechnische Universität DresdenRan2014 to 2024Enrolled338ConditionsAddictive Behavior, Alcohol Use Disorder (AUD), Tobacco Use Disorder, Self-ControlArmsObservational study without interventions
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 51 citations in OpenAlex.

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  15. Characteristics and prediction of risky gambling behaviour study: A study protocol.International journal of methods in psychiatric research · 2023
    Article
  16. Selective chemogenetic inactivation of corticoaccumbal projections disrupts trait choice impulsivity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  17. Loss Aversion and Current, Former, and Never-Smoking Status.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
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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.

Anja KräplinFaculty of Psychology, Technische Universität Dresden, Dresden, Germany. anja.kraeplin@tu-dresden.de.ORCID http://orcid.org/0000-0002-1612-3932
Michael HöflerFaculty of Psychology, Technische Universität Dresden, Dresden, Germany.
Shakoor PoosehDepartment of Psychiatry, Technische Universität Dresden, Dresden, Germany.
Max WolffFaculty of Psychology, Technische Universität Dresden, Dresden, Germany.
Klaus-Martin KrönkeFaculty of Psychology, Technische Universität Dresden, Dresden, Germany.
Thomas GoschkeFaculty of Psychology, Technische Universität Dresden, Dresden, Germany.
Gerhard BühringerFaculty of Psychology, Technische Universität Dresden, Dresden, Germany.
Michael N SmolkaDepartment of Psychiatry, Technische Universität Dresden, Dresden, Germany.
Technische Universität Dresden · DEUniversity of Freiburg · DEUniversity of Southern Denmark · DK

Funding

Deutsche Forschungsgemeinschaft SFB 940/1, SFB 940/2
6 · The paper itself

Abstract

backgroundThis study investigated whether patterns of impulsive decision-making (i) differ between individuals with DSM-5 substance use disorders (SUD) or non-substance-related addictive disorders (ND) and healthy controls, and (ii) predict the increase of SUD and ND severity after one year.

methodsIn a prospective-longitudinal community study, 338 individuals (19-27 years, 59% female) were included in one of three groups: SUD (n = 100), ND (n = 118), or healthy controls (n = 120). Group differences in four impulsive decision-making facets were analyzed with the Bayesian priors: delay discounting (mean = 0.37, variance = 0.02), probability discounting for gains and for losses (each - 0.16, 0.02), and loss aversion (- 0.44, 0.02). SUD and ND severity were assessed at baseline and after 1 year (n = 312, 92%). Predictive associations between decision-making and SUD/ND severity changes were analyzed with the Bayesian prior: mean = 0.25, variance = 0.016.

resultsCompared with controls, the SUD group displayed steeper delay discounting and lower probability discounting for losses; the ND group displayed lower probability discounting for losses (posterior probabilities > 98%). SUD symptom increase after 1 year was predicted by steeper delay discounting and lower loss aversion; ND symptom increase by lower probability discounting for losses and lower loss aversion (posterior probabilities > 98%). There was low evidence for predictive relations between decision-making and the quantity-frequency of addictive behaviours. DISCUSSION: Impulsive decision-making characterizes SUD and ND and predicts the course of SUD and ND symptoms but not the engagement in addictive behaviours. Strength of evidence differed between different facets of impulsive decision-making and was mostly weaker than a priori expected.

Indexed as

AdultBehavior, AddictiveDecision MakingDelay DiscountingDiagnostic and Statistical Manual of Mental DisordersFemaleFollow-Up StudiesForecastingHumansImpulsive BehaviorLongitudinal StudiesMaleProspective StudiesSubstance-Related DisordersYoung AdultBehavioural addictionsDecision-makingImpulsivityLoss aversionRisk-seekingSubstance use disorders

Identifiers

PMID32500211
PMCPMC7501099
OpenAlexW3033862131

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.