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UMIN-CTR Clinical Trial |
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Name: | UMIN ID: |
Recruitment status | Open public recruiting |
Unique ID issued by UMIN | UMIN000043345 |
Receipt No. | R000049467 |
Scientific Title | Development and validation of a clinical prediction model for psychotic relapse within 12 months after discharge in people with schizophrenia |
Date of disclosure of the study information | 2021/02/20 |
Last modified on | 2021/02/17 |
Basic information | ||
Public title | Development and validation of a clinical prediction model for psychotic relapse within 12 months after discharge in people with schizophrenia | |
Acronym | Development and validation of a clinical prediction model for psychotic relapse within 12 months after discharge in people with schizophrenia | |
Scientific Title | Development and validation of a clinical prediction model for psychotic relapse within 12 months after discharge in people with schizophrenia | |
Scientific Title:Acronym | Development and validation of a clinical prediction model for psychotic relapse within 12 months after discharge in people with schizophrenia | |
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Condition | ||
Condition | Schizophrenia and related disorders | |
Classification by specialty |
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Classification by malignancy | Others | |
Genomic information | NO |
Objectives | |
Narrative objectives1 | To develop and validate a clinical prediction model for psychotic relapse within 12 months after discharge in people with schizophrenia and related disorders who are aged 18 years or older, by retrospectively collecting pre-specified prognostic factors by chart review in five urban and rural hospitals. |
Basic objectives2 | Others |
Basic objectives -Others | This study aims to build a prediction model and validate its accuracy and generalisability. |
Trial characteristics_1 | |
Trial characteristics_2 | |
Developmental phase |
Assessment | |
Primary outcomes | Psychotic relapse as a composite outcome defined by an occurrence of any one of the following: psychiatric hospitalisation, psychiatrist's decision that hospitalisation is required, an increase in antipsychotic dosage, an increase in the level of psychiatric care, and violence to self and/or others. Participants will be followed up up to 12 months after their discharge from the index hospitalisation. |
Key secondary outcomes | Psychiatric hospitalisation due to psychotic relapse |
Base | |
Study type | Observational |
Study design | |
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Randomization | |
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Control | |
Stratification | |
Dynamic allocation | |
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Blocking | |
Concealment |
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Eligibility | ||||
Age-lower limit |
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Gender | Male and Female | |||
Key inclusion criteria | Patients who were discharged from one of five participating hospitals between January 2014 and December 2018 will be included if they were diagnosed as one of the following (ICD-10 code in the parentheses):
- Schizophrenia (F20) - Schizotypal disorder (F21) - Persistent delusional disorders (F22) - Acute and transient psychotic disorders (F23) - Induced delusional disorder (F24) - Schizoaffective disorders (F25) - Other nonorganic psychotic disorders (F28) - Unspecified nonorganic psychosis (F29) |
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Key exclusion criteria | Patients with the following conditions will be excluded:
- Those who had been enrolled in this study with a previous episode of hospitalisation due to psychosis (i.e. a patient cannot be enrolled more than once during the study period) - Those with substance/medication-induced psychosis - Those with psychosis due to another medical condition, including peri-and postpartum psychosis and psychosis in dementia - Those with diagnosis in the inclusion criteria with which one of investigators disagree due to the lack of sound reasoning - Those discharged from a non-acute ward - Those with a plan to be readmitted in the short period of time - Those with ambiguous diagnosis as judged by one of investigators - Those discharged to another psychiatric hospital - Those discharged to medical hospital |
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Target sample size | 800 |
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Name of lead principal investigator |
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Organization | Kyoto University Graduate School of Medicine / School of Public Health | ||||||
Division name | Department of Health Promotion and Human Behavior | ||||||
Zip code | 606-8501 | ||||||
Address | Yoshida Konoe-cho, Sakyo-ku, Kyoto | ||||||
TEL | 075-753-9491 | ||||||
furukawa@kuhp.kyoto-u.ac.jp |
Public contact | |||||||
Name of contact person |
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Organization | Kyoto University School of Medicine | ||||||
Division name | Department of Health Promotion and Human Behavior | ||||||
Zip code | 606-8501 | ||||||
Address | Yoshida Konoe-cho, Sakyo-ku, Kyoto | ||||||
TEL | 080-3475-7068 | ||||||
Homepage URL | |||||||
sato.akira.57m@st.kyoto-u.ac.jp |
Sponsor | |
Institute | Department of Health Promotion and Human Behavior, Kyoto University School of Medicine |
Institute | |
Department |
Funding Source | |
Organization | self-funding |
Organization | |
Division | |
Category of Funding Organization | Self funding |
Nationality of Funding Organization |
Other related organizations | |
Co-sponsor | Isogaya Hospital
Iwate Prefecture Nanko Hospital Urawa Shinkei Sanatorium Chiba Psychiatric Medical Centre Tsukuba University Wakamiya Hospital |
Name of secondary funder(s) |
IRB Contact (For public release) | |
Organization | Kyoto University Graduate School and Faculty of Medicine, Ethics Committee |
Address | Yoshida-Konoe-cho, Sakyo-ku, Kyoto |
Tel | 075-753-4680 |
ethcom@kuhp.kyoto-u.ac.jp |
Secondary IDs | |
Secondary IDs | NO |
Study ID_1 | |
Org. issuing International ID_1 | |
Study ID_2 | |
Org. issuing International ID_2 | |
IND to MHLW |
Institutions | |
Institutions | 医療法人直樹会 磯ヶ谷病院(千葉県)、岩手県立南光病院(岩手県)、医療法人白翔会 浦和神経サナトリウム(埼玉県)、千葉県精神科医療センター(千葉県)、筑波大学(茨城県)、医療法人公徳会 若宮病院(山形県) |
Other administrative information | |||||||
Date of disclosure of the study information |
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Related information | |
URL releasing protocol | |
Publication of results | Unpublished |
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Recruitment status | Open public recruiting | ||||||
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Other | |
Other related information | Participants who discharged between 1 January 2014 and 31 December 2018 will be consecutively included in accordance with the eligibility criteria.
In order to pre-specify predictors from previous studies, we searched Ovid Medline on 3 September 2020. From 3490 records that were initially identified, 189 articles were included. By counting the numbers of predictors in the articles, 8 predictors that were counted more than 10 times were pre-selected, along with other four predictors that were thought to be clinically important through a discussion of our research team. Pre-selected predictors that will be collected by chart review are: - Age at discharge - Sex - Number of past psychiatric hospitalisations - Presence of psychiatric hospitalisation last year - Current length of stay - Presence of substance use disorder - Number of Psychosocial interventions - Use of long acting injections - Presence of metabolic syndrome - Body-mass index (BMI) - Presence of current smoking - Receipt of beneficiary. Missing data will be imputed by multiple imputation. Statistical analyses will be performed with R (version 3.6.0). Multivariable regression analyses will be conducted, and estimated coefficients for each predictor will be penalised using shrinkage methods such as LASSO to avoid overfitting. Model's discrimination and calibration abilities will be evaluated. Internal validity and internal-external validity will be evaluated using, for example, leave-one-patient-out cross-validation and leave-one-site-out cross-validation, respectively. Modelling with machine learning such as random forest will also be evaluated for exploratory purposes. Web application will be implemented with Shiny package in R to visually present the developed and validated prediction model for consumers, their families, and mental health professionals. The study will be reported in accordance with the TRIPOD recommendations. |
Management information | |||||||
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Last modified on |
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Link to view the page | |
URL(English) | https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000049467 |
Research Plan | |
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Research case data specifications | |
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Research case data | |
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