Evidence map›Paper›PMID 38720357›Full record

SynthesisSystematic reviews2024

Predictors of cocaine use disorder treatment outcomes: a systematic review.

Alba Palazón-Llecha, Beatriz Caparrós, Joan Trujols, Santiago Duran-Sindreu, Francesca Batlle, Mercè Madre, Núria Mallorquí-Bagué

Abstract readSystematic Review
In one paragraph

Synthesis in Systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
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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.

Alba Palazón-LlechaDepartment of Psychiatry, Addictive Behaviours Unit, Hospital de La Santa Creu I Sant Pau, Sant Antoni Maria Claret 167, Pavelló 20, Planta 2, 08025, Barcelona, Spain.
Beatriz CaparrósDepartment of Psychology, University of Girona, Edifici Seminari, Campus Barri Vell, Sant Domènech 9, 17004, Girona, Spain.
Joan TrujolsDepartment of Psychiatry, Addictive Behaviours Unit, Hospital de La Santa Creu I Sant Pau, Sant Antoni Maria Claret 167, Pavelló 20, Planta 2, 08025, Barcelona, Spain.
Santiago Duran-SindreuDepartment of Psychiatry, Addictive Behaviours Unit, Hospital de La Santa Creu I Sant Pau, Sant Antoni Maria Claret 167, Pavelló 20, Planta 2, 08025, Barcelona, Spain.
Francesca BatlleDepartment of Psychiatry, Addictive Behaviours Unit, Hospital de La Santa Creu I Sant Pau, Sant Antoni Maria Claret 167, Pavelló 20, Planta 2, 08025, Barcelona, Spain.
Mercè MadreDepartment of Psychiatry, Addictive Behaviours Unit, Hospital de La Santa Creu I Sant Pau, Sant Antoni Maria Claret 167, Pavelló 20, Planta 2, 08025, Barcelona, Spain.
Núria Mallorquí-BaguéDepartment of Psychiatry, Addictive Behaviours Unit, Hospital de La Santa Creu I Sant Pau, Sant Antoni Maria Claret 167, Pavelló 20, Planta 2, 08025, Barcelona, Spain. nuria.mallorqui@udg.edu.

Funding

Fundació Privada Hospital de la Santa Creu i Sant Pau Pla d'acció social 2020Instituto de Salud Carlos III PI20/00929
6 · The paper itself

Abstract

backgroundPsychosocial approaches are the first-line treatments for cocaine dependence, although they still present high dropout and relapse rates. Thus, there is a pressing need to understand which variables influence treatment outcomes to improve current treatments and prevent dropout and relapse rates. The aim of this study is to explore predictors of treatment retention and abstinence in CUD.

methodsThis systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We searched three databases-PubMed, PsychINFO and Web of Science-for randomized clinical trials (RCTs) published in English and Spanish from database inception through April 1, 2023. We selected all studies that met the inclusion criteria (adults aged ≥ 18, outpatient treatment, CUD as main addiction, and no severe mental illness) to obtain data for the narrative synthesis addressing cocaine abstinence and treatment retention as main outcome variables. After data extraction was completed, risk of bias was assessed using the Cochrane risk-of-bias tool for randomized trials (RoB-2).

resultsA total of 566 studies were screened, and, of those, 32 RCTs were included in the synthesis. Younger age, more years of cocaine use, and craving levels were significant predictors of relapse and treatment dropout. Fewer withdrawal symptoms, greater baseline abstinence, greater treatment engagement, and more self-efficacy were all predictors of longer duration of abstinence. The role of impulsivity as a predictor of CUD is unclear due to conflicting data, although the evidence generally suggests that higher impulsivity scores can predict more severe addiction and withdrawal symptoms, and earlier discontinuation of treatment.

conclusionCurrent evidence indicates which variables have a direct influence on treatment outcomes, including well-studied cocaine use-related variables. However, additional variables, such as genetic markers, appear to have a high impact on treatment outcomes and need further study. SYSTEMATIC REVIEW REGISTRATION: This systematic review is registered at PROSPERO (ID: CRD42021271847). This study was funded by the Spanish Ministry of Science, Innovation and Universities, Instituto Carlos III (ISCIII) (FIS PI20/00929) and FEDER funds and Fundació Privada Hospital de la Santa Creu i Sant Pau (Pla d'acció social 2020).

Indexed as

Cocaine-Related DisordersAge FactorsCravingHumansPatient DropoutsRandomized Controlled Trials as TopicRecurrenceSelf EfficacySubstance Withdrawal SyndromeTreatment OutcomeCocaine use disorderPredictorsReviewSystematicTreatment outcome

Identifiers

PMID38720357
PMCPMC11077740

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.