UMIN-CTR Clinical Trial

Basic information
Public title	Simple MAGE
Acronym	Simple MAGE
Scientific Title	Simple MAGE
Scientific Title:Acronym	Simple MAGE
Region	Japan

Condition
Condition	type 2 diabetes
Classification by specialty	Endocrinology and Metabolism
Classification by malignancy	Others
Genomic information	NO

Objectives
Narrative objectives1	To propose a metric which is comparable to 24-h MAGE (Simple MAGE) where synchronize automatic calculation in plural patients can be performed using a software which can be used by anyone like Microsoft Excel.
Basic objectives2	Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase

Assessment
Primary outcomes	Correlation between predicted MAGE and SD
Key secondary outcomes	(delta - mean of delta)-square for MAGE derived from SD and simple MAGE

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	Patients with type 2 diabetes whose 24-h glucose levels were measured continuously using CGM.
Key exclusion criteria	judged to be unsuitable for participation for medical reasons
Target sample size	100

Research contact person
Name of lead principal investigator	1st name Soichi Middle name Last name Takeishi
Organization	Inuyama Chuo General Hospital
Division name	Diabetes
Zip code	484-8511
Address	6, Futagozuka, Goromaru, Inuyama-city, Aichi, Japan.
TEL	0568-62-8111
Email	souichi19811225@yahoo.co.jp

Public contact
Name of contact person	1st name Soichi Middle name Last name Takeishi
Organization	Inuyama Chuo General Hospital
Division name	Diabetes
Zip code	484-8511
Address	6, Futagozuka, Goromaru, Inuyama-city, Aichi, Japan.
TEL	0568-62-8111
Homepage URL
Email	souichi19811225@yahoo.co.jp

Sponsor
Institute	Inuyama Chuo General Hospital
Institute
Department

Funding Source
Organization	Inuyama Chuo General Hospital
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	Inuyama Chuo General Hospital
Address	6, Futagozuka, Goromaru, Inuyama-city, Aichi, Japan.
Tel	0568-62-8111
Email	souichi19811225@yahoo.co.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

Other administrative information
Date of disclosure of the study information	2020 Year 10 Month 16 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	Completed
Date of protocol fixation	2020 Year 07 Month 20 Day
Date of IRB	2020 Year 10 Month 15 Day
Anticipated trial start date	2020 Year 10 Month 16 Day
Last follow-up date	2020 Year 12 Month 31 Day
Date of closure to data entry
Date trial data considered complete
Date analysis concluded

Other

Other related information

This is a cross-sectional study. We investigate 24-h glucose levels (00:00-24:00 on day 2) measured continuously using continuous glucose monitor (CGM: iPro2) in 100 patients with type 2 diabetes. Based on the reports where the values of MAGE were 2.4 times of that of SD, MAGE derived from SD and simple MAGE (both are abbreviated as predicted MAGE) are proposed. Based on the way of thinking unbiased dispersion, deviations of differences between MAGE and predicted MAGE (delta = MAGE - predicted MAGE) from mean are defined as (delta - mean of delta)-square.

Management information
Registered date	2020 Year 10 Month 16 Day
Last modified on	2022 Year 11 Month 18 Day

Link to view the page
URL(English)	https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048066