Evidence-based treatment pathways for translational studies in obsessive-compulsive disorders.

Area of Science:

• Psychiatry
• Neuroscience
• Personalized Medicine

Background:

• Obsessive-compulsive disorder (OCD) and related disorders represent significant long-term health burdens.
• Current evidence-based treatments for OCD are ineffective for a substantial patient proportion, and validated treatments for related disorders are scarce.
• A lack of predictors for treatment response hinders personalized patient management.

Purpose of the Study:

• To explore outstanding questions for personalized medicine in psychiatry over the next decade.
• To review tools and techniques for standardized clinical assessment and defining treatment response criteria (response, remission, relapse, resistance).
• To propose stepped treatment algorithms adaptable for multicenter settings to facilitate biomarker identification for treatment response.

Main Methods:

• Review of existing literature on standardized clinical assessment tools and treatment response criteria.
• Discussion of translational research methodologies, including multidisciplinary collaboration and large-scale data collection.
• Presentation of evidence-based, stepped treatment algorithms modeled on naturalistic care.

Main Results:

• Identified key challenges and opportunities for personalized medicine in OCD and related disorders.
• Highlighted the necessity of standardized assessment and clear response definitions for translational research.
• Proposed a framework for pragmatic treatment trials to identify biomarkers of treatment response.

Conclusions:

• Translational research investigating endophenotype predictors is crucial for advancing personalized medicine in psychiatry.
• Standardized treatment paradigms and multicenter collaboration are essential for successful translational studies.
• The proposed treatment algorithms can serve as a template for designing trials to identify biomarkers for treatment response or non-response.