Alcohol Dependence Treatment Outcomes for 152 Patients in Germany

152 patients with alcohol dependence were followed for six months after inpatient detoxification and cognitive behavioral therapy. Florian J. Raabe used 35 clinical features to analyze four long-term outcome dimensions, including continuous abstinence and daily alcohol consumption. The data, last updated in April 2026, applies a machine learning approach to identify a multidimensional signature of treatment success.

Use Cases

• Predicting long-term abstinence based on socioeconomic and clinical features assessed during treatment.
• Identifying factors associated with negative outcomes, such as alcohol-related hepatic damage and number of previous withdrawal treatments.
• Training machine learning models to move beyond binary relapse/abstinence classifications using a multidimensional outcome signature.

Strengths

• Includes 35 clinical features covering pre-, within-, and post-treatment phases for a detailed timeline.
• Follow-up data for 152 patients provides a basis for analyzing six-month outcomes.
• Multivariate sparse partial least squares analysis was used to identify a signature of treatment outcome.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 2.6 MB file size suggests a relatively small dataset.

Provenance

Source

figshare

Collection Method

Observational naturalistic study of inpatients receiving qualified detoxification plus CBT, with a six-month follow-up.

Freshness

Last updated 2026-04-17 05:18:08; freshness should be verified.

Geography

Germany