| Unique ID issued by UMIN | UMIN000017557 |
|---|---|
| Receipt number | R000020349 |
| Scientific Title | Prediction of efficacy of disease-modifying antirheumatic drugs, biologic agents and immunosupprresants for rheumatoid arthritis and collagen disease |
| Date of disclosure of the study information | 2015/05/14 |
| Last modified on | 2015/05/14 12:18:46 |
Prediction of efficacy of disease-modifying antirheumatic drugs, biologic agents and immunosupprresants for rheumatoid arthritis and collagen disease
Prediction of immunosuppressants
Prediction of efficacy of disease-modifying antirheumatic drugs, biologic agents and immunosupprresants for rheumatoid arthritis and collagen disease
Prediction of immunosuppressants
| Japan |
rheumatoid arthritis, collagen disease
| Medicine in general | Clinical immunology |
Others
YES
In order to find biomarkers for predicting the clinical response
to immunosuppressants in rheumatoid arthritis and collagen diseases.
Safety,Efficacy
efficacy at week 14
Observational
| Not applicable |
| Not applicable |
Male and Female
1. Patients who were diagnosed with RA,
SLE, SSc, PM/DM, MCTD, Takayasu disease, GCA, PAN, GPA, MPA an EGPA according to individual international criteira.
2. Patients who will begin methotrexate, biologic agents, and immunosuppressants
Patients who thier physicians consider as not appropriate
720
| 1st name | |
| Middle name | |
| Last name | Tsutomu Takeuchi |
Keio University School of Medicine
Division of Rheumatology, Department of Internal Medicine
35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, JAPAN
03-3353-1211
tsutake@z5.keio.jp
| 1st name | |
| Middle name | |
| Last name | Yuko Kaneko |
Keio University School of Medicine
Division of Rheumatology, Department of Internal Medicine
35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, JAPAN
03-3353-1211
ykaneko@z6.keio.jp
Keio University
Keio University
Self funding
NO
| 2015 | Year | 05 | Month | 14 | Day |
Partially published
Open public recruiting
| 2009 | Year | 11 | Month | 16 | Day |
| 2009 | Year | 12 | Month | 02 | Day |
To identify predictive biomarkers for efficacy and safety using mRNA, cell surface marker, or cyotkine
| 2015 | Year | 05 | Month | 14 | Day |
| 2015 | Year | 05 | Month | 14 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000020349