2月3日～2月9日の間に収集した論文情報を追加しました。(1/2)
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