Evidence map›Paper›PMID 30607658›Full record

SynthesisNeuropsychology review2019

A Patient-Tailored Evidence-Based Approach for Developing Early Neuropsychological Training Programs in Addiction Settings.

Benjamin Rolland, Fabien D'Hondt, Solène Montègue, Mélanie Brion, Eric Peyron, Julia D'Aviau de Ternay, Philippe de Timary, Mikaïl Nourredine, Pierre Maurage

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neuropsychology review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Application of Digital Medicine in Addiction.Journal of Shanghai Jiaotong University (science) · 2022
    Article
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  19. Bidirectional causality between addiction and cognitive deficits.International review of neurobiology · 2021
    Review
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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

9 authors.

Benjamin RollandUniv Lyon; UCBL ; INSERM U1028 ; CNRS UMR5292, Centre de Recherche en Neuroscience de Lyon (CRNL), F-69678, Bron, France.
Fabien D'HondtUniv. Lille, CNRS, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000, Lille, France.
Solène MontègueService Universitaire d'Addictologie de Lyon (SUAL), Pôle UP-MOPHA, F-69500, Bron, CH Le Vinatier, France.
Mélanie BrionLaboratory for Experimental Psychopathology (LEP), Psychological Science Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Eric PeyronAddiPsy, F-69007, Lyon, France.
Julia D'Aviau de TernayService Universitaire d'Addictologie de Lyon (SUAL), Pôle UP-MOPHA, F-69500, Bron, CH Le Vinatier, France.
Philippe de TimaryLaboratory for Experimental Psychopathology (LEP), Psychological Science Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Mikaïl NourredineService Universitaire d'Addictologie de Lyon (SUAL), Pôle UP-MOPHA, F-69500, Bron, CH Le Vinatier, France.
Pierre MaurageLaboratory for Experimental Psychopathology (LEP), Psychological Science Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium. pierre.maurage@uclouvain.be.ORCID 0000-0003-0197-0810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substance use disorders (SUDs) are associated with impairments of cognitive functions, and cognitive training programs are thus rapidly developing in SUD treatment. However, neuropsychological impairments observed early after withdrawal (i.e., early impairments), that is, approximately in the first six months, may be widespread. Consequently, it might not be possible to train all the identified early impairments. In these situations, we propose that the priority of cognitive training should be given to the early impairments found to be associated with early dropout or relapse (i.e., relapse-related impairments). However, substance-specific relapse-related impairments have not been singled out among all early impairments so far. Using a systematic literature search, we identified the types of established early impairments for all SUDs, and we assessed the extent to which these early impairments were found to be associated with relapse-related impairments. All cognitive functions were investigated according to a classification based on current neuropsychological models, distinguishing classical cognitive, substance-bias, and social cognition systems. According to the current evidence, demonstrated relapse-related impairments in alcohol use disorder comprised impulsivity, long-term memory, and higher-order executive functions. For cannabis use disorder, the identified relapse-related impairments were impulsivity and working memory. For stimulant use disorder, the identified relapse-related impairments were attentional abilities and higher-order executive functions. For opioid use disorder, the only identified relapse-related impairments were higher executive functions. However, many early impairments were not explored with respect to dropout/relapse, particularly for stimulant and opioid use disorders. The current literature reveals substance-specific relapse-related impairments, which supports a pragmatic patient-tailored approach for defining which early impairments should be prioritized in terms of training among patients with SUDs.

Indexed as

Cognitive Behavioral TherapyCognitive DysfunctionEvidence-Based PracticeExecutive FunctionHumansNeuropsychological TestsRecurrenceSubstance-Related DisordersSubstance Withdrawal SyndromeTreatment OutcomeAlcoholCannabisCognitive impairmentsCognitive remediationOpioidRelapseStimulantsSubstance-use disordersTreatment dropout

Identifiers

What OpenQuestion holds

Textmetadata
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.