Unique ID issued by UMIN | UMIN000047533 |
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Receipt number | R000052872 |
Scientific Title | Exploratory data base study: TEMPO post-hoc AI based image analysis study |
Date of disclosure of the study information | 2022/04/21 |
Last modified on | 2023/05/12 13:54:55 |
Exploratory data base study: TEMPO post-hoc AI based image analysis study
TEMPO image AI study
Exploratory data base study: TEMPO post-hoc AI based image analysis study
TEMPO image AI study
Japan | North America | South America |
Australia | Europe |
Autosomal Dominant Polycystic Kidney Disease
Nephrology |
Others
NO
With the AI analysis, we intend to create a prediction formula from the baseline values and the kidney images for the ADPKD disease progression and the tolvaptan effect to the kidney.
Efficacy
Tolvaptan's renal protective effect (Categorized evaluation of kidney function through the change)
Kidney function progression in placebo group (categorized evaluation of worsening renal function in the placebo group)
Observational
18 | years-old | <= |
50 | years-old | >= |
Male and Female
Patient who are participated in tolvaptan Phase 3 Efficacy and Safety Study in Autosomal Dominant Polycystic Kidney Disease (ADPKD) (TEMPO3:4)
Same as Tolvaptan Phase 3 Efficacy and Safety Study in Autosomal Dominant Polycystic Kidney Disease (ADPKD) (TEMPO3:4)
1444
1st name | Lyo |
Middle name | |
Last name | Inuyama |
Otsuka Pharmaceutical Ltd.
Medical Affairs
108-8242
2-16-4 Konan, Minato-ku, Tokyo
03-6717-1400
Inuyama.Lyo@otsuka.jp
1st name | Toshiki |
Middle name | |
Last name | Tanaka |
Otsuka Pharmaceutical Ltd.
Medical Affairs
108-8242
2-16-4 Konan, Minato-ku, Tokyo
03-6717-1400
Tanaka.toshiki@otsuka.jp
Otsuka Pharmaceutical Co., Ltd.
Medical Affairs Department
Otsuka Pharmaceutical Co., Ltd.
Medical Affairs Department
Self funding
The research ethics committee of Otsuka Pharmaceutical Co., Ltd
463-10 Kagasuno,Kawauchi-cho,Tokushima-city,Tokushima
088-665-2126
Imaizumi.Takashi@otsuka.jp
NO
2022 | Year | 04 | Month | 21 | Day |
Unpublished
1444
Using TEMPO3:4 data, we extracted features in kidney images and constructed a model to predict disease progression using kidney image features and clinical data. A model of disease progression in patients receiving tolvaptan was also constructed.
2023 | Year | 05 | Month | 08 | Day |
Completed
2021 | Year | 11 | Month | 24 | Day |
2021 | Year | 11 | Month | 05 | Day |
2022 | Year | 07 | Month | 01 | Day |
2022 | Year | 12 | Month | 31 | Day |
2023 | Year | 05 | Month | 08 | Day |
Analysis of below contents
-Tolvaptan's renal protective effect(Categorized evaluation of kidney function through the change)
-Kidney function progression in placebo group (categorized evaluation of worsening renal function in the placebo group)
2022 | Year | 04 | Month | 20 | Day |
2023 | Year | 05 | Month | 12 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000052872
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