UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000014216 |
|---|---|
| Receipt number | R000014162 |
| Scientific Title | Identification of novel predictors for the progression of chronic kidney disease |
| Date of disclosure of the study information | 2014/06/10 |
| Last modified on | 2014/06/10 04:54:57 |
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Basic information
Public title
Identification of novel predictors for the progression of chronic kidney disease
Acronym
Predict CKD
Scientific Title
Identification of novel predictors for the progression of chronic kidney disease
Scientific Title:Acronym
Predict CKD
Region
| Japan |
Condition
Condition
Chronic kidney disease
Classification by specialty
| Nephrology |
Classification by malignancy
Others
Genomic information
NO
Objectives
Narrative objectives1
Identification of the predictors for the progression of CKD
Basic objectives2
Others
Basic objectives -Others
Identification of the predictors
Trial characteristics_1
Exploratory
Trial characteristics_2
Pragmatic
Developmental phase
Not applicable
Assessment
Primary outcomes
Kidney replacement therapy or worsening of kidney function
Key secondary outcomes
cardiovascular events
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
| 20 | years-old | <= |
Age-upper limit
| 90 | years-old | >= |
Gender
Male and Female
Key inclusion criteria
CKD patients
Key exclusion criteria
No informed consent
Target sample size
200
Research contact person
Name of lead principal investigator
| 1st name | |
| Middle name | |
| Last name | Terumasa Hayashi |
Organization
Osaka General Medical Center
Division name
Kidney disease and hyptertension
Zip code
Address
3-1-56, Bandaihigashi, Sumiyoshi-ku
TEL
06-6692-1201
t-hayashi@abelia.ocn.ne.jp
Public contact
Name of contact person
| 1st name | |
| Middle name | |
| Last name | Terumasa Hayashi |
Organization
Osaka General Medical Center
Division name
Kidney disease and hyptertension
Zip code
Address
3-1-56, Bandaihigashi, Sumiyoshi-ku
TEL
06-6692-1201
Homepage URL
t-hayashi@abelia.ocn.ne.jp
Sponsor or person
Institute
Osaka General Medical Center
Institute
Department
Personal name
Funding Source
Organization
Osaka General Medical Center
Organization
Division
Category of Funding Organization
Self funding
Nationality of Funding Organization
Other related organizations
Co-sponsor
Osaka University
Name of secondary funder(s)
IRB Contact (For public release)
Organization
Address
Tel
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
大阪府立急性期・総合医療センター
りんくう総合医療センター市立泉佐野病院
Other administrative information
Date of disclosure of the study information
| 2014 | Year | 06 | Month | 10 | Day |
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
Enrolling by invitation
Date of protocol fixation
| 2013 | Year | 10 | Month | 01 | Day |
Date of IRB
Anticipated trial start date
| 2014 | Year | 06 | Month | 10 | Day |
Last follow-up date
| 2020 | Year | 12 | Month | 31 | Day |
Date of closure to data entry
| 2020 | Year | 12 | Month | 31 | Day |
Date trial data considered complete
| 2020 | Year | 12 | Month | 31 | Day |
Date analysis concluded
| 2020 | Year | 12 | Month | 31 | Day |
Other
Other related information
Analyze factors that affect the prognosis (life, kidney and cardiovascular events) by using Omics approach.
Management information
Registered date
| 2014 | Year | 06 | Month | 10 | Day |
Last modified on
| 2014 | Year | 06 | Month | 10 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000014162
