Unique ID issued by UMIN | UMIN000050079 |
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Receipt number | R000057029 |
Scientific Title | Development and validation of the risk prediction model for serious infections in rheumatoid arthritis (RA) patients treated with Tocilizumab using a medical information database |
Date of disclosure of the study information | 2023/01/19 |
Last modified on | 2023/01/19 14:02:46 |
Development and validation of the risk prediction model for serious infections in rheumatoid arthritis (RA) patients treated with Tocilizumab using a medical information database
Development and validation of the risk prediction model for serious infections in rheumatoid arthritis (RA) patients treated with Tocilizumab using a medical information database
Development and validation of the risk prediction model for serious infections in rheumatoid arthritis (RA) patients treated with Tocilizumab using a medical information database
Development and validation of the risk prediction model for serious infections in rheumatoid arthritis (RA) patients treated with Tocilizumab using a medical information database
Japan |
rheumatoid arthritis
Clinical immunology |
Others
NO
Development of the risk prediction model for serious infections in Japanese rheumatoid arthritis (RA) patients treated with Tocilizumab using a medical information database.
Others
Development of the risk prediction model for serious infections in Japanese rheumatoid arthritis (RA) patients treated with Tocilizumab using a medical information database.
The calibration capability of the model is visually represented by a calibration plot divided into 10 aliquots.
Area under the curve (AUC) is used as a measure of discrimination.
Sensitivity, specificity, and positive and negative predictive values at each 5% risk threshold are used as measures of accuracy.
Observational
18 | years-old | <= |
Not applicable |
Male and Female
The inclusion criteria are all of the following:
・Confirmed diagnosis of RA (ICD -10 Diagnosis Code M05/M06) can be identified during the baseline period (excluding diagnoses with the "Suspect" flag).
・Initial tocilizumab prescriptions are available during the patient selection period.
・Prescription of antirheumatic drugs during the baseline period.
Patients who meet any of the following criteria will be excluded from the study:
・Prescription of tocilizumab cannot be identified after index date.
・Patients with a history of treatment for malignant tumors during the baseline period (6 months immediately before the index date) and at the reference date
(defined as either of the following)
History of prescription of "injury/disease name of malignant tumor" and" antineoplastic drug" (However, methotrexate, rituximab, and tacrolimus are excluded from the list of "antineoplastic agents")
History of prescription of "radiotherapy"
・Patients who don't have a 4-month lookback period
・Patients with a confirmed disease name other than RA for which tocilizumab is indicated during the baseline period or index date
Indications listed for intravenous infusion: juvenile idiopathic arthritis, adult Still's disease, Castleman's disease, pneumonia caused by SARS-CoV-2, cytokine release syndrome
Indications listed for subcutaneous injection: Takayasu's arteritis, giant cell arteritis
6000
1st name | Shinichi |
Middle name | |
Last name | Matsuda |
Chugai Pharmaceutical Co., Ltd.
Risk Communication Dept.
103-8324
1-1 Nihonbashi-muromachi 2-chome, Chuo-ku Tokyo, Japan
03-3281-6611
matsudasni@chugai-pharm.co.jp
1st name | Shinichi |
Middle name | |
Last name | Matsuda |
Chugai Pharmaceutical Co., Ltd.
Risk Communication Dept.
103-8324
1-1 Nihonbashi-muromachi 2-chome, Chuo-ku Tokyo, Japan
03-3281-6611
matsudasni@chugai-pharm.co.jp
Chugai Pharmaceutical Co., Ltd.
Chugai Pharmaceutical Co., Ltd.
Self funding
Non-Profit Organization MINS Institutional Review Board
1-15-14, Dogenzaka, Shibuya, Tokyo, Japan
03-6416-1868
npo-mins@j-irb.com
NO
2023 | Year | 01 | Month | 19 | Day |
Unpublished
Preinitiation
2022 | Year | 12 | Month | 22 | Day |
2023 | Year | 01 | Month | 11 | Day |
2023 | Year | 03 | Month | 20 | Day |
2023 | Year | 06 | Month | 25 | Day |
[Organization for analysis]
IQVIA Solutions Japan K.K.
[Organization providing data]
Medical Data Vision Co.,Ltd.
2023 | Year | 01 | Month | 19 | Day |
2023 | Year | 01 | Month | 19 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000057029
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