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JAPICによる学会発表

アカデミア機関による研究成果発表

アカデミアの方々を対象に価格を抑えてJAPIC FAERSデータを提供し,研究活動にご利用いただいております。
以下に本サービスを用いた研究成果・公表論文等をご紹介します(一部)。

  • 2023
  • Onda K, Honma T, Masuyama K.
  • Methotrexate-related adverse events and impact of concomitant treatment with folic acid and tumor necrosis factor-alpha inhibitors: An assessment using the FDA adverse event reporting system
    Frontiers in Pharmacology 2023; DOI: 10.3389/fphar.2023.1030832

  • 2023
  • Kamimura H, Setsu T, Kimura N, Miyazawa M, Kaneko S, Kamimura K, Tsuchiya A, Uesawa Y, Terai S
  • Analysis of drug-induced liver-related adverse event trend reporting between 1997 and 2019.
    Hepatology Research 2023; DOI: 10.1111/hepr.13883

  • 2022
  • Sakai T, Mori C, Ohtsu F
  • Potential safety signal of pregnancy loss with vascular endothelial growth factor inhibitor intraocular injection: A disproportionality analysis using the Food and Drug Administration Adverse Event Reporting System.
    Frontiers in Pharmacology 2022; DOI: 10.3389/fphar.2022.1063625

  • 2021
  • Sakai T, Mori C, Koshiba H, Yuminaga R, Tanabe K, Ohtsu F
  • Pregnancy Loss Signal from Prostaglandin Eye Drop Use in Pregnancy: A Disproportionality Analysis Using Japanese and US Spontaneous Reporting Databases.
    Drugs - Real World Outcomes 2021; DOI: 10.1007/s40801-021-00287-y

  • Fukazawa C, Hinomura Y, Kaneko M, Narukawa M.
  • Factors Influencing Regulatory Decision-Making in Signal Management: Analysis Based on the Signals Identified from the FAERS
    Therapeutic Innovation & Regulatory Science 2021; DOI:10.1007/s43441-021-00265-0

  • Kan Y, Nagai J, Uesawa Y.
  • Evaluation of antibiotic-induced taste and smell disorders using the FDA adverse event reporting system database.
    Scientific Reports 2021; DOI: 10.1038/s41598-021-88958-2

  • 2020
  • 植沢芳広
  • 化学構造からの有害性発現予測 : 人工知能技術の適用
    YAKUGAKU ZASSHI ; DOI: 10.1248/yakushi.19-00190-4

  • 2019
  • Toki T, Ono S.
  • Assessment of factors associated with completeness of spontaneous adverse event reporting in the United States: a comparison between consumer reports and healthcare professional reports.
    Journal of Clinical Pharmacy & Therapeutics 2019; DOI:10.1111/jcpt.13086

  • 2018
  • Toki T, Ono S.
  • Spontaneous reporting on adverse events by consumers in the United States: An analysis of the Food and Drug Administration adverse event reporting system database.
    Drugs - Real World Outcomes 2018; DOI:10.1007/s40801-018-0134-0

  • Fukazawa C, Hinomura Y, Kaneko M, Narukawa M.
  • Significance of data mining in routine signal detection: Analysis based on the safety signals identified by the FDA
    Pharmacoepidemiology and Drug Safety 2018; DOI: 10.1002/pds.4672