Trial reportDrug and alcohol dependence2014
Multimodal predictive modeling of individual treatment outcome in cocaine dependence with combined neuroimaging and behavioral predictors.
Trial report in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Threats to external validity in the neuroprediction of substance use treatment outcomes.The American journal of drug and alcohol abuse · 2023Pooled it
- "I's" on the prize: A systematic review of individual differences in Contingency Management treatment response.Journal of substance abuse treatment · 2019Pooled it
- Can neuroimaging help combat the opioid epidemic? A systematic review of clinical and pharmacological challenge fMRI studies with recommendations for future research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019Pooled it
- Mixed amphetamine salts-extended release (MAS-ER) as a behavioral treatment augmentation strategy for cocaine use disorder: A randomized clinical trial.Experimental and clinical psychopharmacology · 2024Trial
- Decisional incentive sensitivity is linked to contingency management outcome and striatal dopamine signaling in individuals with cocaine use disorder: a preliminary study.Addiction and substance abuse · 2026Article
- Speak and You Shall Predict: Evidence That Speech at Initial Cocaine Abstinence Is a Biomarker of Long-Term Drug Use Behavior.Biological psychiatry · 2025Article
- Stress and substance use disorders: risk, relapse, and treatment outcomes.The Journal of clinical investigation · 2024Review
- Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer.Personality neuroscience · 2021Article
- Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2020Review
- Nociceptin Receptors Upregulated in Cocaine Use Disorder: A Positron Emission Tomography Imaging Study Using [The American journal of psychiatry · 2019Article
- Toward biomarkers of the addicted human brain: Using neuroimaging to predict relapse and sustained abstinence in substance use disorder.Progress in neuro-psychopharmacology & biological psychiatry · 2018Review
- Reduced sleep duration mediates decreases in striatal D2/D3 receptor availability in cocaine abusers.Translational psychiatry · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDeveloping personalized treatments for cocaine dependence remains a significant clinical challenge. Positron emission tomography (PET) has shown that the [(11)C]raclopride signal in the ventral striatum is associated with treatment success in a positively reinforced contingency management program. The present study investigates whether this signal can be used to predict treatment outcome at an individual level.
methodsPredictive models were developed using PET signals from 5 regions of the striatum and follow-up data in 24 patients, and evaluated using cross-validation.
resultsThe ventral striatal PET signal alone can predict individual treatment response with a substantial degree of accuracy (cross-validated correct rate=82%). Incorporating information from other regions-of-interest (ROIs) in the striatum does not improve predictive performance, except for a small improvement with adding the posterior caudate. The addition of baseline demographic variables, including baseline severity measures, does not improve predictive performance. On the other hand, early treatment response and motivation, reflected by cumulative clinic attendance, performs as well as the PET signal (83%) by week 3 in the 24-week study. The combined model with both PET signals and cumulative clinic attendance demonstrates a significant improvement of performance, peaking at 96% during week 3 of the trial.
conclusionsThese results suggest that a multimodal model can predict treatment success in cocaine dependence at an individual level, and pose hypotheses for the underlying neural circuitry mechanisms responsible for individual variations in treatment outcome.
Indexed as
Identifiers
What OpenQuestion holds
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.