Establish a Specific Cohort Database for Depressive Disorders
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Locations
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-
Shanghai
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Shanghai, Shanghai, China, 200030
- Shanghai Mental Health Center
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
- Depressive disorder cohort study: Outpatient or inpatient patients in Shanghai Mental Health Center, Shanghai Zhongshan Hospital, Renji Hospital and Shanghai Tenth People's Hospital were included in this cohort study if the patients agreed to participate in this study and the patients with depressive disorder met the inclusion and exclusion criteria.
- Construction of standard database for depression: All inpatients and outpatients of Shanghai Mental Health Center will be included in the special database if they meet the diagnostic criteria for depression(ICD-10).
Description
Inclusion Criteria:
- Age 18-75
- Meeting ICD-10 depressive episode criteria (F32, F33, F34, F38, F39)
- Cultural, social and educational background sufficient to understand informed consent and research content
- Agree to participate in this study
Exclusion Criteria:
- Exclude other mental disorders such as bipolar disorder and schizophrenia (but not comorbidities)
- Patients with a history of brain injury or cerebrovascular accident, myocardial infarction, severe liver cirrhosis, acute and chronic renal failure, severe diabetes, aplastic anemia, moderate and severe malnutrition and other serious physical diseases of the nervous, heart, liver, kidney, endocrine and blood systems
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Construct the structured data set for depression by integrating a large sample of outpatient and inpatient clinical data, blood tests, psychological tests, and brain imaging data.
Time Frame: 3 years
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Have 80000 patients been included.
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3 years
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Recruitment of 300 patients who was diagnosed as depressive disorders.
Time Frame: Baseline, and 1,2,3,4,5 years follow-up point
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In order to: collect demographic and sociological information., clinical data, social function, cognitive function, and blood index test.
Collection of Audio-Visual, as well as brain imaging or electrophysiology if patients agreed to participate in these tests.
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Baseline, and 1,2,3,4,5 years follow-up point
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Yiru Fang, M.D., Ph.D., Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine
Publications and helpful links
General Publications
- Phillips MR, Zhang J, Shi Q, Song Z, Ding Z, Pang S, Li X, Zhang Y, Wang Z. Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001-05: an epidemiological survey. Lancet. 2009 Jun 13;373(9680):2041-53. doi: 10.1016/S0140-6736(09)60660-7.
- Kessler RC, Chiu WT, Demler O, Merikangas KR, Walters EE. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005 Jun;62(6):617-27. doi: 10.1001/archpsyc.62.6.617. Erratum In: Arch Gen Psychiatry. 2005 Jul;62(7):709. Merikangas, Kathleen R [added].
- Gunaratne P, Lloyd AR, Vollmer-Conna U. Mood disturbance after infection. Aust N Z J Psychiatry. 2013 Dec;47(12):1152-64. doi: 10.1177/0004867413503718. Epub 2013 Sep 20.
- Reppermund S, Ising M, Lucae S, Zihl J. Cognitive impairment in unipolar depression is persistent and non-specific: further evidence for the final common pathway disorder hypothesis. Psychol Med. 2009 Apr;39(4):603-14. doi: 10.1017/S003329170800411X. Epub 2008 Jul 30.
- Anoushiravani AA, Patton J, Sayeed Z, El-Othmani MM, Saleh KJ. Big Data, Big Research: Implementing Population Health-Based Research Models and Integrating Care to Reduce Cost and Improve Outcomes. Orthop Clin North Am. 2016 Oct;47(4):717-24. doi: 10.1016/j.ocl.2016.05.008. Epub 2016 Aug 8.
- Murphy DR, Meyer AN, Bhise V, Russo E, Sittig DF, Wei L, Wu L, Singh H. Computerized Triggers of Big Data to Detect Delays in Follow-up of Chest Imaging Results. Chest. 2016 Sep;150(3):613-20. doi: 10.1016/j.chest.2016.05.001. Epub 2016 May 10.
- Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A, Del Signore S, Delogne C, Devilee P, Di Meglio A, Eijkemans M, Flicek P, Graf N, Grimm V, Guchelaar HJ, Guo YK, Gut IG, Hanbury A, Hanif S, Hilgers RD, Honrado A, Hose DR, Houwing-Duistermaat J, Hubbard T, Janacek SH, Karanikas H, Kievits T, Kohler M, Kremer A, Lanfear J, Lengauer T, Maes E, Meert T, Muller W, Nickel D, Oledzki P, Pedersen B, Petkovic M, Pliakos K, Rattray M, I Mas JR, Schneider R, Sengstag T, Serra-Picamal X, Spek W, Vaas LA, van Batenburg O, Vandelaer M, Varnai P, Villoslada P, Vizcaino JA, Wubbe JP, Zanetti G. Making sense of big data in health research: Towards an EU action plan. Genome Med. 2016 Jun 23;8(1):71. doi: 10.1186/s13073-016-0323-y. Erratum In: Genome Med. 2016 Nov 7;8(1):118.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- SHDC2020CR6023
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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