Causality assessment of adverse drug reaction reports using an expert-defined Bayesian network
作者：
Highlights：
• A Bayesian network is proposed to assess causality of adverse drug reaction reports.
• Validation was done with three cohorts of reports from a pharmacovigilance centre.
• A simplified assessment matrix is derived to be used by notifiers upon reporting.
• Time to assessment by the pharmacovigilance team is expected to decrease.
• Notifiers’ engagement is expected to increase from the faster feedback given.
摘要
•A Bayesian network is proposed to assess causality of adverse drug reaction reports.•Validation was done with three cohorts of reports from a pharmacovigilance centre.•A simplified assessment matrix is derived to be used by notifiers upon reporting.•Time to assessment by the pharmacovigilance team is expected to decrease.•Notifiers’ engagement is expected to increase from the faster feedback given.
论文关键词：Adverse drug reactions,Causality assessment,Bayesian networks
论文评审过程：Received 8 November 2017, Revised 10 July 2018, Accepted 27 July 2018, Available online 2 August 2018, Version of Record 6 November 2018.
论文官网地址：https://doi.org/10.1016/j.artmed.2018.07.005
