Evidence map›Paper›PMID 23586456›Full record

Trial reportPsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2013

Neurobiological considerations in understanding behavioral treatments for pathological gambling.

Marc N Potenza, Iris M Balodis, Christine A Franco, Scott Bullock, Jiansong Xu, Tammy Chung, Jon E Grant

Open access · greenAbstract readRandomized Controlled TrialReview
In one paragraph

Trial report in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Effects of 5-HTPsychopharmacology · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Gambling disorder: an integrative review of animal and human studies.Annals of the New York Academy of Sciences · 2017
    Review
  17. Review
  18. Brain pathways to recovery from alcohol dependence.Alcohol (Fayetteville, N.Y.) · 2015
    Article
  19. How does response inhibition influence decision making when gambling?Journal of experimental psychology. Applied · 2015
    Article
  20. Neuroimaging and biomarkers in addiction treatment.Current psychiatry reports · 2014
    Review
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 at 3 institutions in 1 country.

Marc N PotenzaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA. marc.potenza@yale.edu
Iris M Balodis
Christine A Franco
Scott Bullock
Jiansong Xu
Tammy Chung
Jon E Grant
Yale University · USUniversity of Minnesota · USUniversity of Pittsburgh Medical Center · US

Funding

TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1994 to 2018
$40.5M
Translational Research of Cocaine, Striatum, and ImpulsivitiesP20DA027844 · NIDA · YALE UNIVERSITY · PI TAYLOR, JANE R · 2010 to 2013
$3.6M
fMRI of CBT and CM for Cocaine DependenceR01DA020908 · NIDA · YALE UNIVERSITY · PI POTENZA, MARC N · 2005 to 2009
$1.7M
fMRI of Craving in Addictions: Gender DifferencesR01DA019039 · NIDA · YALE UNIVERSITY · PI POTENZA, MARC N · 2005 to 2009
$1.6M
N-Acetyl Cysteine plus Behavioral Therapy for Nicotine Dependent Pathological GamRC1DA028279 · NIDA · UNIVERSITY OF MINNESOTA · PI GRANT, JON E · 2009 to 2010
$950k
FMRI & DTI Study on Neural Predictor of Treatment Outcome of Cocaine DependenceK01DA027750 · NIDA · YALE UNIVERSITY · PI XU, JIANSONG · 2010 to 2014
$881k
NIDA NIH HHS K01 DA027750NIDA NIH HHS P20 DA027844NIDA NIH HHS P50 DA009241NIDA NIH HHS P50 DA09241NIDA NIH HHS R01 DA019039NIDA NIH HHS R01 DA020908NIDA NIH HHS RC1 DA028279
6 · The paper itself

Abstract

Pathological gambling (PG), a disorder currently categorized as an impulse-control disorder but being considered as a nonsubstance addiction in Diagnostic and Statistical Manual of Mental Disorders (5th ed.) discussions, represents a significant public health concern. Over the past decade, considerable advances have been made with respect to understanding the biological underpinnings of PG. Research has also demonstrated the efficacies of multiple treatments, particularly behavioral therapies, for treating PG. Despite these advances, relatively little is known regarding how biological measures, particularly those assessing brain function, relate to treatments for PG. In this article, we present a conceptual review focusing on the neurobiology of behavioral therapies for PG. To illustrate issues related to study design, we present proof-of-concept preliminary data that link Stroop-related brain activations prior to treatment onset to treatment outcome in individuals with PG receiving a cognitive-behavioral treatment incorporating aspects of imaginal desensitization and motivational interviewing. We conclude with recommendations about current and future directions regarding how to incorporate and translate biological findings into improved therapies for individuals with nonsubstance and substance addictions.

Indexed as

AdultBehavior, AddictiveBrainBrain MappingCognitive Behavioral TherapyDecision MakingDesensitization, PsychologicFemaleGamblingHumansMagnetic Resonance ImagingMaleMiddle AgedMotivational InterviewingNeurobiologySeverity of Illness Index

Identifiers

PMID23586456
PMCPMC3700568
OpenAlexW2020691904

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.