論文・技術情報追加のお知らせ

①Combining big data search analytics and the FDA Adverse Event Reporting System database to detect a potential safety signal of mirtazapine abuse.

GoogleアナリティクスとFAERS解析によるミルタザピン乱用の潜在的安全性シグナル検出調査

対象DB：FAERS

②Investigating Overlap in Signals from EVDAS, FAERS, and VigiBase((R)).

自発報告3DB間の冗長性定量化比較研究

対象DB：FAERS,VigiBase,EudraVigilance

③Bullous disorders associated with PD-1 and PD-L1 inhibitors: pharmacovigilance analysis of the FDA Adverse Event Reporting System (FAERS) from the Research on Adverse Drug events And Reports (RADAR) Program.

PD-1・PD-L1阻害剤に関連する水疱性疾患のPV分析

対象DB：FAERS

④The quality assessment of the Japanese Adverse Drug Event Report database using vigiGrade.

vigiGradeを用いたJADER品質評価

対象DB：JADER

⑤Adverse drug reactions of statins in children and adolescents: a descriptive analysis from VigiBase, the WHO global database of individual case safety reports.

小児・青年におけるスタチンの有害薬物反応調査

対象DB：VigiBase

⑥Disproportionality Analysis for Pharmacovigilance Signal Detection in Small Databases or Subsets: Recommendations for Limiting False-Positive Associations.

不均衡分析による疑似相関に対する推奨データベースサイズについての研究

対象DB：VigiBase

⑦Changes in Real-world Practice Patterns of Antiepileptic Drugs for Status Epilepticus: A Nationwide Observational Study in Japan.

てんかん重積患者に対する抗てんかん薬の治療パターン変化調査

対象DB：DPC

⑧Patients with Asthma Prescribed Once-Daily Fluticasone Furoate/Vilanterol or Twice-Daily Fluticasone Propionate/Salmeterol as Maintenance Treatment: Analysis from a Claims Database.

喘息治療患者における薬剤、投与回数比較による服薬遵守調査

対象DB：JMDC