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Open AccessJournal ArticleDOI

5. Application of Japanese Claims Database to Pharmacovigilance Activity in Pharmaceutical Industry; Analysis on Cancer Incidences and Usage of Anticancer Agents

Kenji Hamada, +1 more
- 01 Jan 2013 - 
- Vol. 17, Iss: 2, pp 145-153
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This article is published in Japanese Journal of Pharmacoepidemiology\/yakuzai Ekigaku.The article was published on 2013-01-01 and is currently open access. It has received 2 citations till now. The article focuses on the topics: Pharmacovigilance.

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Prevalence, incidence, and medications of narcolepsy in Japan: a descriptive observational study using a health insurance claims database

TL;DR: In this paper , the authors describe prevalence, incidence, and medications among patients who were diagnosed with narcolepsy in Japan using a claims database, and identify 1539 patients diagnosed with NN from January 2010 to December 2019.
References
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Journal ArticleDOI

Mechanisms of cutaneous toxicities to EGFR inhibitors.

TL;DR: There is an urgent need for an improved understanding of these toxicities to develop adequate staging systems and mechanistically driven therapies, and to ensure quality of life and consistent antineoplastic therapy.
Journal ArticleDOI

Skin toxicities associated with epidermal growth factor receptor inhibitors

TL;DR: A randomized, double-blinded, placebo-controlled study has been initiated to evaluate the clinical efficacy of menadione topical cream, in the treatment or prevention of EGFR inhibitor-induced skin toxicity.
Journal ArticleDOI

Cancer Incidence and Incidence Rates in Japan in 2005: Based on Data from 12 Population-based Cancer Registries in the Monitoring of Cancer Incidence in Japan (MCIJ) Project

TL;DR: The Japan Cancer Surveillance Research Group estimated the cancer incidence in 2005 as part of the Monitoring of Cancer Incidence in Japan (MCIJ) project, on the basis of data collected from 12 of 30 population-based cancer registries.
Journal ArticleDOI

Adverse event profiles of platinum agents: data mining of the public version of the FDA adverse event reporting system, AERS, and reproducibility of clinical observations.

TL;DR: The results obtained were consistent with clinical observations, suggesting the usefulness of the FDA's adverse event reporting system, AERS, and the data mining method used herein.
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