Unique ID issued by UMIN | UMIN000032848 |
---|---|
Receipt number | R000035928 |
Scientific Title | Study on indicators for predicting the therapeutic effect of SGLT2 inhibitors under actual clinical practice in T2DM patients |
Date of disclosure of the study information | 2018/06/03 |
Last modified on | 2023/12/06 09:17:44 |
Study on indicators for predicting the therapeutic effect of SGLT2 inhibitors under actual clinical practice in T2DM patients
Study on indicators for predicting therapeutic effect of SGLT2 inhibitors.
Study on indicators for predicting the therapeutic effect of SGLT2 inhibitors under actual clinical practice in T2DM patients
Study on indicators for predicting therapeutic effect of SGLT2 inhibitors.
Japan |
type 2 diabetes mellituds
Endocrinology and Metabolism |
Others
NO
Explore the indictors for predicting the effect of SGLT2 inhibitors
Efficacy
Phase III
Improvement of HbA1c
decrese of Body Weight
Improvement of liver function
Improvement of fatty liver
Observational
18 | years-old | <= |
Not applicable |
Male and Female
Japanese T2DM patients who started SGLT2 inhibitor and received regular ambulatory treatment in Osaki Citizen Hospital Division of Endocrinology and Diabetes between May 2015 and April 2017
1) Anti-glutamic acid decarboxylase (GAD) antibody above normal range.
2) HBs antigen or/end HCV antibody is positive.
3)Patients who discontinue the use of SGLT2 inhibitors during the period.
4)Patients who were taking acarbose and/or herbal medicines.
100
1st name | |
Middle name | |
Last name | Masahiro Usui |
Osaki Citizen Hospital
Division of Metabolism and Diabetes
3-8-1 Furukawahonami,Osaki ,Miyagi
0229-23-3311
masausui@med.tohoku.ac.jp
1st name | |
Middle name | |
Last name | Masahiro Usui |
Osaki Citizen Hospital
Division of Metabolism and Diabetes
3-8-1 Furukawahonami,Osaki ,Miyagi
0229-23-3311
masausui@med.tohoku.ac.jp
Osaki Citizen Hospital
None
Other
NO
2018 | Year | 06 | Month | 03 | Day |
Unpublished
Completed
2018 | Year | 02 | Month | 01 | Day |
2017 | Year | 12 | Month | 31 | Day |
2018 | Year | 02 | Month | 09 | Day |
2022 | Year | 03 | Month | 31 | Day |
2023 | Year | 03 | Month | 31 | Day |
2023 | Year | 09 | Month | 30 | Day |
Divide patients into HbA1c-improved group and non-improved group and examine clinical indicators with significant difference between the groups.
2018 | Year | 06 | Month | 02 | Day |
2023 | Year | 12 | Month | 06 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000035928