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Relapse Predicting Model for First Episode Depression

NCT02942251 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300

Last updated 2016-10-26

No results posted yet for this study

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.

Conditions

  • Major Depressive Disorders

Interventions

OTHER

Clinical features and medication

This group will be suggested to take optimize treatment according to Chinese treatment guidelines.

OTHER

Psycho-social

This group will be suggested to add on psychotherapy on medical treatment.

OTHER

immunology

This group will be suggested to add on Omega-3 polyunsaturated fatty acid(PUFAs) on medical treatment.

OTHER

Laboratory abnormality

This group will be suggested to more safety antidepressants.

OTHER

Comorbidity

This group will be suggested to treat their comorbidities as well as treat MDD.

OTHER

Treatment as usual

Patients will accept routine treatments based on psychiatrist experience, not based on the relapse predict model.

Sponsors & Collaborators

  • Shanghai Mental Health Center

    lead OTHER

Principal Investigators

  • Jun Chen, M.D., Ph.D · Shanghai Mental Health Center

Study Design

Allocation
NON_RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2016-12-31
Primary Completion
2018-12-31
Completion
2019-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02942251 on ClinicalTrials.gov