Identification of Multi-modal Bio-markers for Early Diagnosis and Treatment Prediction in Schizophrenia Individuals
NCT03790085 · Status: UNKNOWN · Phase: EARLY_PHASE1 · Type: INTERVENTIONAL · Enrollment: 2700
Last updated 2018-12-31
Summary
This study aims to screen and validate multi-scale bio-markers for early diagnosis and medication monitoring for early schizophrenia, including the genetic, neurobiochemistry, neuroimaging and eletrophysiological measures. Based on the validated bio-markers, the present study further tries to build several prediction models for early differential diagnosis of schizophrenia from healthy controls and other mental diseases (such as the major depression and anxiety disorders), biological sub-typing and diagnosis of the schizophrenia sub-types, and early prediction of the medication effects.
Conditions
- Schizophrenia
- Major Depressive Disorder
- Anxiety Disorders
Interventions
- DRUG
-
Risperidone
Risperidone tablet
- DRUG
-
Olanzapine tablet
- DRUG
-
Aripiprazole
Aripiprazole tablet
Sponsors & Collaborators
-
Shanghai Mental Health Center
collaborator OTHER -
Nanjing Medical University
collaborator OTHER -
Tianjin Anding Hospital
collaborator OTHER -
Harbin First Specialist Hospital
collaborator UNKNOWN -
First Affiliated Hospital of Chongqing Medical University
collaborator OTHER -
Anhui Mental Health Center
collaborator UNKNOWN -
Wuhan Psychiatric Hospital
collaborator UNKNOWN -
Wenzhou Seventh People's Hospital
collaborator OTHER_GOV -
First Affiliated Hospital of Harbin Medical University
collaborator OTHER -
Tianjin Medical University General Hospital
lead OTHER
Principal Investigators
-
Chunshui Yu, MD · Tianjin Medical University General Hospital
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 45 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2018-09-01
- Primary Completion
- 2020-06-30
- Completion
- 2020-12-31
Countries
- China
Study Locations
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