| Recruitment status | Open public recruiting |
| Unique ID issued by UMIN | UMIN000030223 |
| Receipt No. | R000034524 |
| Scientific Title | The assessment of associaed factor for metabolic disease in a community-based Study |
| Date of disclosure of the study information | 2017/12/02 |
| Last modified on | 2021/12/19 (Ver. 2) |
| Basic information | ||
| Public title | The assessment of associaed factor for metabolic disease in a community-based Study | |
| Acronym | Associated factor for metabolic disease | |
| Scientific Title | The assessment of associaed factor for metabolic disease in a community-based Study | |
| Scientific Title:Acronym | Associated factor for metabolic disease | |
| Region |
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| Condition | |||||
| Condition | metabolic disease | ||||
| Classification by specialty |
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| Classification by malignancy | Others | ||||
| Genomic information | NO | ||||
| Objectives | |
| Narrative objectives1 | To identify undiagnosed cases of metabolic disease and atherosclerotic disease, this study examine the associated factor for diagnosing metabolic disease and atherosclerotic disease, and explore the predictive factors for onset of metabolic disease, atherosclerotic disease, and cancer. |
| Basic objectives2 | Others |
| Basic objectives -Others | Others |
| Trial characteristics_1 | |
| Trial characteristics_2 | |
| Developmental phase | |
| Assessment | |
| Primary outcomes | 1. Identify the associated factor for metabolic disease |
| Key secondary outcomes | 1. Identify the associated factor for nonalcoholic fatty liver disease
2. Identify the associated factor for abnormal glucose tolerance 3. Identify the associated factor for dyslipidemia 4. Identify the associated factor for hypertension 5. Identify the associated factor for hyperuricemia 6. Identify the associated factor for metabolic syndrome 7. Identify the associated factor for atherosclerotic disease 8. Explore the predictive factor for onset of nonalcoholic fatty liver disease 9. Explore the predictive factor for onset of abnormal glucose tolerance 10. Explore the predictive factor for onset of dyslipidemia 11. Explore the predictive factor for onset of hypertension 12. Explore the predictive factor for onset of hyperuricemia 13. Explore the predictive factor for onset of metabolic syndrome 14. Explore the predictive factor for onset of atherosclerotic disease |
| Base | |
| Study type | Observational |
| Study design | |
| Basic design | |
| Randomization | |
| Randomization unit | |
| Blinding | |
| Control | |
| Stratification | |
| Dynamic allocation | |
| Institution consideration | |
| Blocking | |
| Concealment | |
| Intervention | |
| No. of arms | |
| Purpose of intervention | |
| Type of intervention | |
| Interventions/Control_1 | |
| Interventions/Control_2 | |
| Interventions/Control_3 | |
| Interventions/Control_4 | |
| Interventions/Control_5 | |
| Interventions/Control_6 | |
| Interventions/Control_7 | |
| Interventions/Control_8 | |
| Interventions/Control_9 | |
| Interventions/Control_10 | |
| Eligibility | ||||
| Age-lower limit |
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| Age-upper limit |
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| Gender | Male and Female | |||
| Key inclusion criteria | The subjects undergo annual health check-up. | |||
| Key exclusion criteria | The subjects with data points missing. | |||
| Target sample size | 30000 | |||
| Research contact person | |||||||
| Name of lead principal investigator |
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| Organization | Ehime University Graduate School of Medicine | ||||||
| Division name | Department of Gastroenterology and Metabology | ||||||
| Zip code | 7910295 | ||||||
| Address | Toon City, Ehime, Japan | ||||||
| TEL | +81899605308 | ||||||
| teruki-ygc@umin.ac.jp | |||||||
| Public contact | |||||||
| Name of contact person |
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| Organization | Ehime University Graduate School of Medicine | ||||||
| Division name | Department of Gastroenterology and Metabology | ||||||
| Zip code | 7910295 | ||||||
| Address | Toon city, Ehime | ||||||
| TEL | +81899605308 | ||||||
| Homepage URL | |||||||
| teruki-ygc@umin.ac.jp | |||||||
| Sponsor | |
| Institute | Ehime University |
| Institute | |
| Department | |
| Funding Source | |
| Organization | Self funding |
| Organization | |
| Division | |
| Category of Funding Organization | Self funding |
| Nationality of Funding Organization | |
| Other related organizations | |
| Co-sponsor | |
| Name of secondary funder(s) | |
| IRB Contact (For public release) | |
| Organization | Ethics Committee of Ehime University Hospital |
| Address | 454 Shitsukawa Toon Ehime japan |
| Tel | +81899605914 |
| cttc@m.ehime-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 | |
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| Date of disclosure of the study information |
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| Related information | |
| URL releasing protocol | |
| Publication of results | Unpublished |
| Result | |
| URL related to results and publications | |
| Number of participants that the trial has enrolled | |
| Results | |
| Results date posted | |
| Results Delayed | |
| Results Delay Reason | |
| Date of the first journal publication of results | |
| Baseline Characteristics | |
| Participant flow | |
| Adverse events | |
| Outcome measures | |
| Plan to share IPD | |
| IPD sharing Plan description | |
| Progress | |||||||
| Recruitment status | Open public recruiting | ||||||
| Date of protocol fixation |
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| Date analysis concluded | |||||||
| Other | |
| Other related information | To identify undiagnosed cases of metabolic disease and atherosclerotic disease, this study examine the associated factor for diagnosing metabolic disease and atherosclerotic disease, and explore the predictive factors for onset of metabolic disease, atherosclerotic disease, and cancer. |
| Management information | |||||||
| Registered date |
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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/icdr_e/ctr_view.cgi?recptno=R000034524 |