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Relapse Predicting Model for First Episode Depression — RPM-FED  

Major Depressive Disorders Clinical Trial

Official title:
The Study of Relapse Predicting Model for First Episode Depression: Big Data Analysis Based on Clinical Features and Immunochemistry

Clinical Trial Summary

Major depressive depression(MDD) is an severe public mental disorders. The purpose of current study is using big data analysis based on clinical features and immunochemistry to investigate and establish an relapse predict model for patients with first episode MDD.

Clinical Trial Description

Major depressive depression(MDD) is an severe public mental disorders. The purpose of current study is using big data analysis based on clinical features and immunochemistry to investigate and establish an relapse predict model for patients with first episode MDD.

This study includes two steps. Step 1: Big data analysis based on the clinical features and immunochemical figures of 30000 patients with first episode MDD will be conducted to construct a relapse predict model.

Step 2: 300 patients with first episode MDD will be recruited in this step. Physicians prefer to give corresponding treatment recommendation based on the predictive factors to verify this relapse model. ;

Study Design

Allocation: Non-Randomized, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Prevention

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT02942251
Study type Interventional
Source Shanghai Mental Health Center
Contact Jun Chen, M.D., Ph.D
Phone 021-34773367
Email doctorcj2010@gmail.com
Status Not yet recruiting
Phase N/A
Start date December 2016
Completion date December 2019
View Details
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