Unique ID issued by UMIN | UMIN000044087 |
---|---|
Receipt number | R000050342 |
Scientific Title | The optimal method to predict HbA1c from flash glucose monitor data |
Date of disclosure of the study information | 2021/05/01 |
Last modified on | 2022/11/18 09:21:20 |
The optimal method to predict HbA1c from flash glucose monitor data
Predicting HbA1c from flash glucose monitor data
The optimal method to predict HbA1c from flash glucose monitor data
Predicting HbA1c from flash glucose monitor data
Japan |
type 2 diabetes
Endocrinology and Metabolism |
Others
NO
To investigate the optimal method to predict HbA1c from one flash glucose monitor sensor data
Safety,Efficacy
The extracted duration for which mean glucose levels most strongly correlate to HbA1c
Observational
20 | years-old | <= |
90 | years-old | >= |
Male and Female
Patients with type 2 diabetes who were not intervened on visiting hospital
Cases where patients cannot were FGM over 14 days
judged to be unsuitable for participation for medical reasons
80
1st name | Soichi |
Middle name | |
Last name | Takeishi |
Inuyama Chuo General Hospital
Diabetes
484-8511
6, Futagozuka, Goromaru, Inuyama-city, Aichi, 484-8511, Japan.
0568-62-8111
souichi19811225@yahoo.co.jp
1st name | Soichi |
Middle name | |
Last name | Takeishi |
Inuyama Chuo General Hospital
Diabetes
484-8511
6, Futagozuka, Goromaru, Inuyama-city, Aichi, 484-8511, Japan.
0568-62-8111
souichi19811225@yahoo.co.jp
Inuyama Chuo General Hospital
Inuyama Chuo General Hospital
Self funding
Inuyama Chuo General Hospital
6, Futagozuka, Goromaru, Inuyama-city, Aichi, 484-8511, Japan.
0568-62-8111
souichi19811225@yahoo.co.jp
NO
2021 | Year | 05 | Month | 01 | Day |
Unpublished
Completed
2020 | Year | 12 | Month | 15 | Day |
2021 | Year | 02 | Month | 05 | Day |
2021 | Year | 05 | Month | 01 | Day |
2021 | Year | 06 | Month | 30 | Day |
Out-patients with type 2 diabetes, who are not intervened and whose HbA1c was measured on visiting hospital, wear FGM (FreeStyle Libre Pro).
2021 | Year | 05 | Month | 01 | Day |
2022 | Year | 11 | Month | 18 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000050342
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