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NCT02910193: eMedAlcohol
Alcohol Addiction: A Systems-oriented Approach
trial in Alcoholism in 159 participants. Completed in 27 May 2019.
27 May 2019
Quick facts
| Lead sponsor | Charite University, Berlin, Germany |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 159 |
| Start date | 17 May 2016 |
| Primary completion | 27 May 2019 |
| Estimated completion | 27 May 2019 |
| Sites | 1 location across Germany |
Conditions studied
- Alcoholism — all drugs for Alcoholism →
Sponsor
Charite University, Berlin, Germany
Who can join
Adults 18 to 75, any sex, with Alcoholism. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of the multicenter subproject (SP) 10 of the eMED Alcohol Addiction Consortium - A Systems-Oriented Approach is to study neuroimaging x genetics predictions in an existing sample (NGFNplus) of tightly endophenotyped and genome-wide genotyped alcohol dependent subjects (N=240) and controls (N=240); (ii) to translate the results of neuroimaging and genetic analyses from an adolescent risk sample (IMAGEN) to adult disease (NGFNplus sample) by examining related MRI-paradigms tagging the same functional brain systems in both samples (e.g. reward system, inhibitory control system, emotion processing, working memory); (iii) to conduct a follow-up neuroimaging study on the NGFNplus sample validating the neurobehavioral risk profiles predictive for juvenile harmful alcohol use in adult patients with alcohol addiction, (iv) to expand the NGFNplus sample by including a new set of healthy subjects with high genetic risk (1st degree relatives of patients with alcohol addiction). The investigators will do so by using elaborate imaging genetic methods that are already available and successfully used in other multicenter studies by the investigator's research group (e.g. univariate analyses, functional and effective connectivity analyses, polygenetic scores, network topology) as well as by using complex computational algorithms and mathematical models, in particular advanced machine learning methods, developed in SP 6. The investigator's approach aims in the long to predict and characterize longitudinal outcomes in patients with alcohol addiction (5 years following our index session) and to complement the NGFN-sample with an add-on study with 1st degree relatives that will allow the investigators to test the generalizability of the identified predictive risk profiles for early risk identification.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT02910193
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT02910193 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Charite University, Berlin, Germany
- Last refreshed: 31 July 2019
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT02910193.
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