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| ID | Type | Description | Link |
|---|---|---|---|
| 2015-A01756-43 | Other Identifier | ANSM |
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| Name | Class |
|---|---|
| Ministry of Health, France | OTHER_GOV |
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Researchers propose in this project to evaluate predictive factors of non response. It is defined by the lack of symptomatic remission at month 3, for patients presenting a first episode of psychosis. It will be performed on objective markers taken from imagery techniques. The link between evolution of these markers and clinical measures will be studied.
Recently, radiological markers demonstrated a good capacity to discriminate first episode of psychosis patients, that will show a bad response to treatment. Furthermore, automatic learning methods were recently successfully applied to neurological data, but never for the first episode psychosis patients. These powerful methods are based on multivariate analyses allowing the prediction at an individual stage. The possibility to identify more precisely the population of non-answering patients would allow the adaptation of the support in first attention for these patients, and consequently to perform appropriate cares.
Researchers propose in this project to evaluate predictive factors of non response. It is defined by the lack of symptomatic remission at month 3, for patients presenting a first episode of psychosis. It will be performed on objective markers taken from imagery techniques. The link between evolution of these markers and clinical measures will be studied.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| First episode of psychosis patients | Patients with schizophrenia will be studied in this clinical trial, and that have never received anti-psychotic treatment. They will perform an MRI. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MRI | Procedure | Magnetic Resonance Imagery will be performed on patients attempted by schizophrenia. The aim of this intervention is an early detection of the non-answering patients to the primary cares. |
| Measure | Description | Time Frame |
|---|---|---|
| Score of the predictive value of the imagery markers. | Evaluate the predictive value for the imagery markers on the therapeutic non-answer at month 3 for patients presenting a first psychotic episode. | Month 3 |
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Inclusion Criteria:
Exclusion Criteria:
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Patients suffering of schizophrenia will be included in this study. They do not have ever taken anti-psychotic treatment.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Eric FAKRA, MD PhD | Contact | (0)477127885 | +33 | eric.fakra@chu-st-etienne.fr |
| Marlène BONNEFOI, Project manager | Contact | (0)477120826 | +33 | marlene.bonnefoi@chu-st-etienne.fr |
| Name | Affiliation | Role |
|---|---|---|
| Eric FAKRA, MD PhD | Centre Hospitalier Universitaire de Saint Etienne | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chu Le Vinatier | Not yet recruiting | Bron | 69500 | France |
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| ID | Term |
|---|---|
| D012559 | Schizophrenia |
| ID | Term |
|---|---|
| D019967 | Schizophrenia Spectrum and Other Psychotic Disorders |
| D001523 | Mental Disorders |
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Blood samples will be taken for every patient to make toxicological tests.
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| Chu Clermont-Ferrand | Not yet recruiting | Clermont-Ferrand | 63003 | France |
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| Chu Grenoble | Not yet recruiting | Grenoble | 38000 | France |
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| HÔPITAL Edouard Herriot | Not yet recruiting | Lyon | 69003 | France |
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| Chu Saint Etienne | Recruiting | Saint-Etienne | 42100 | France |
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