2018
DOI: 10.1111/jcpt.12748
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Surveillance of drugs that most frequently induce acute kidney injury: A pharmacovigilance approach

Abstract: A comprehensive study using a pharmacovigilance database enabled us to identify the drugs that most frequently induce AKI, raising physicians' awareness of the drugs in use for patients with potentially decreased renal function.

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Cited by 35 publications
(37 citation statements)
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“…The present study used data from the public release of PMDA’s JADER database as a large spontaneous reporting database, from which adverse event reports voluntarily submitted to the PMDA between April 2004 and January 2017 are freely available. The data structure of the JADER consists of four datasets: patient demographic information (DEMO), drug information (DRUG), adverse events (REAC) and medical history (HISTO).…”
Section: Methodsmentioning
confidence: 99%
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“…The present study used data from the public release of PMDA’s JADER database as a large spontaneous reporting database, from which adverse event reports voluntarily submitted to the PMDA between April 2004 and January 2017 are freely available. The data structure of the JADER consists of four datasets: patient demographic information (DEMO), drug information (DRUG), adverse events (REAC) and medical history (HISTO).…”
Section: Methodsmentioning
confidence: 99%
“…We compiled a cross‐tabulation table based on two classifications: the presence or absence of the adverse event, and the presence or absence of the suspected medicine. Then, we calculated the ROR as reported previously . The ROR is the rate of reporting a specific adverse event caused by a particular drug divided by the rate of the same adverse event caused by all other drugs present in the database.…”
Section: Methodsmentioning
confidence: 99%
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