Unique ID issued by UMIN | UMIN000045443 |
---|---|
Receipt number | R000051852 |
Scientific Title | Signal detection of pediatric adverse drug reaction using electronic medical record |
Date of disclosure of the study information | 2021/09/10 |
Last modified on | 2023/09/14 13:47:28 |
Signal detection of pediatric adverse drug reaction using electronic medical record
Signal detection of pediatric adverse drug reaction using electronic medical record
Signal detection of pediatric adverse drug reaction using electronic medical record
Signal detection of pediatric adverse drug reaction using electronic medical record
Japan |
Children who experienced drug prescription and laboratory test
Pediatrics |
Others
NO
To create a model to predict the association between drug and adverse event in pediatrics using electronic medical record.
Safety
Exploratory
Fluctuations in platelet and serum creatinine levels associated with drug administration
Observational
Not applicable |
18 | years-old | > |
Male and Female
(1) Received a prescription for a drug between January 2010 and December 2018
(2) A platelet or serum creatinine sample test was performed.
Patients who are prescribed only medicines that are classified as vitamins, tonic, blood substitutes, preparations, public health medicines, or in vitro diagnostic medicines.
54000
1st name | Takuhiro |
Middle name | |
Last name | Yamaguchi |
Tohoku University Graduate School of Medicine
Division of Biostatistics
980-8574
1-1 Seiryo-machi, Aoba-Ku, Sendai-shi, Miyagi
022-717-7659
yamaguchi@med.tohoku.ac.jp
1st name | Shih-Wei |
Middle name | |
Last name | Chiu |
Tohoku University Graduate School of Medicine
Division of Biostatistics
980-8574
1-1 Seiryo-machi, Aoba-Ku, Sendai-shi, Miyagi
022-717-7659
chiu@med.tohoku.ac.jp
Tohoku University Graduate School of Medicine
Tohoku University Graduate School of Medicine
Other
Tohoku University Graduate School of Medicine
1-1 Seiryo-machi, Aoba-Ku, Sendai-shi, Miyagi
022-717-8007
med-kenkyo@grp.tohoku.ac.jp
NO
2021 | Year | 09 | Month | 10 | Day |
Unpublished
4641
Completed
2019 | Year | 10 | Month | 16 | Day |
2019 | Year | 10 | Month | 28 | Day |
2019 | Year | 10 | Month | 28 | Day |
2023 | Year | 09 | Month | 30 | Day |
For all pediatric patients who meet the eligibility criteria among the cases included in the electronic medical record database, the clinical laboratory values (platelet count and serum creatinine) before and after the administration of the drug will be tabulated, and the variations will be calculated. A model will then be developed to comprehensively detect and prioritize drugs that may be associated with thrombocytopenia and renal impairment in children.
2021 | Year | 09 | Month | 10 | Day |
2023 | Year | 09 | Month | 14 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000051852