| Unique ID issued by UMIN | UMIN000032899 |
|---|---|
| Receipt number | R000037513 |
| Scientific Title | Investigation of prediction abilities for a risk of hypoglycemia of intermediate-term glycemic variability metrics using continuous glucose monitor data |
| Date of disclosure of the study information | 2018/06/07 |
| Last modified on | 2019/03/15 12:25:26 |
Investigation of prediction abilities for a risk of hypoglycemia of intermediate-term glycemic variability metrics using continuous glucose monitor data
Prediction ability for hypoglycemia
Investigation of prediction abilities for a risk of hypoglycemia of intermediate-term glycemic variability metrics using continuous glucose monitor data
Prediction ability for hypoglycemia
| Japan |
type 2 diabetes
| Endocrinology and Metabolism |
Others
NO
To analyzed intermediate-term glycemic variability metrics, derived using continuous glucose monitoring, to determine their ability to predict the risk of hypoglycemia
Others
Analyzing intermediate-term glycemic variability metrics, derived using continuous glucose monitoring, to determine their ability to predict the risk of hypoglycemia
The relationship and the predictive ability of intermediate-term glycemic variability metrics for the risk of hypoglycemia.
Observational
| 20 | years-old | <= |
| 90 | years-old | >= |
Male and Female
104 patients with type 2 diabetes whose 24-h glucose levels were measured continiuously for 13 days
judged to be unsuitable for participation for medical reasons
104
| 1st name | |
| Middle name | |
| Last name | Soichi Takeishi |
Inuyama Chuo General Hospital
Diabetes
6, Futagozuka, Goromaru, Inuyama-city, Aichi, Japan.
0568-62-8111
souichi19811225@yahoo.co.jp
| 1st name | |
| Middle name | |
| Last name | Soichi Takeishi |
Inuyama Chuo General Hospital
Diabetes
6, Futagozuka, Goromaru, Inuyama-city, Aichi, Japan.
0568-62-8111
souichi19811225@yahoo.co.jp
Inuyama Chuo General Hospital
Inuyama Chuo General Hospital
Self funding
NO
| 2018 | Year | 06 | Month | 07 | Day |
Unpublished
Completed
| 2018 | Year | 06 | Month | 07 | Day |
| 2018 | Year | 06 | Month | 07 | Day |
This is a cross-sectional study. We investigate the continuous glucose monitor (FreeStyle Libre Pro) data of 104 patients with type 2 diabetes whose 24-h glucose levels were measured continiuously for 13 days. We analyse the continuous glucose monitor data from 00:00 (day 2) to 24:00 (day 14), namely, for 24-h times 13 days.
| 2018 | Year | 06 | Month | 07 | Day |
| 2019 | Year | 03 | Month | 15 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000037513