ビッグデータを用いた医薬品相互作用に関する論文が、Spotlight Commentaryに取り上げられました。

野口 義紘 准教授が、筆頭・責任著者のビッグデータを用いた医薬品相互作用に関する論文が、British Journal of Clinical PharmacologyのSpotlight Commentaryに取り上げられました。

論文題名:Spotlight commentary: The value of spontaneous reporting systems to detect (the lack of) clinically relevant drug-drug interactions in clinical practice
著者名:Emanuel Raschi, Elisabetta Poluzzi, Fabrizio De Ponti

取り上げられた論文は、引用文献(計25報)のうち、次の5報です。

  1. Yoshihiro Noguchi, Tomoya Tachi, Hitomi Teramachi, Review of statistical methodologies for detecting drug-drug interactions using spontaneous reporting systems. Front Pharmacol. 2019; 10, 1319. doi:10.3389/fphar.2019.01319
  2. Yoshihiro Noguchi, Tomoya Tachi, Hitomi Teramachi, Comparison of signal detection algorithms based on frequency statistical model for drug-drug interaction using spontaneous reporting systems. Pharm Res. 2020, 37, 86. doi:10.1007/s11095-020-02801-3
  3. Yoshihiro Noguchi, Keisuke Aoyama, Satoaki Kubo, Tomoya Tachi, Hitomi Teramachi, Improved detection criteria for detecting drug-drug interaction signals using the proportional reporting ratio. Pharmaceuticals. 2020, 14, 4. doi:10.3390/ph14010004
  4. Yoshihiro Noguchi, Shunsuke Yoshizawa, Keisuke Aoyama, Satoaki Kubo, Tomoya Tachi, Hitomi Teramachi, Verification of the "upward variation in the reporting odds ratio scores" to detect the signals of drug-drug interactions. Pharmaceutics. 2021, 13, 1531. doi:10.3390/pharmaceutics13101531
  5. Yoshihiro Noguchi, Tomoya Tachi, Hitomi Teramachi, Detection algorithms and attentive points of safety signal using spontaneous reporting systems as a clinical data source. Brief Bioinform. 2021, 22, bbab347. doi:10.1093/bib/bbab347