Radiology Research, Center for Optimizing Radiology Value (CORVA), Penn State Hershey Medical Center, Hershey, PA, USA.
Department of Radiology, Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Drug Saf. 2017 Dec;40(12):1199-1204. doi: 10.1007/s40264-017-0577-3.
Surveillance of the safety of prescribed drugs after marketing approval has been secured remains fraught with complications. Formal ascertainment by providers and reporting to adverse-event registries, formal surveys by manufacturers, and mining of electronic medical records are all well-known approaches with varying degrees of difficulty, cost, and success. Novel approaches may be a useful adjunct, especially approaches that mine or sample internet-based methods such as online social networks.
A novel commercial software-as-a-service data-mining product supplied by Sysomos from Datasift/Facebook was used to mine all mentions on Facebook of statins and stain-related side effects in the US in the 1-month period 9 January 2017 through 8 February 2017.
A total of 4.3% of all 25,700 mentions of statins also mentioned typical stain-related side effects. Multiple methodological weaknesses stymie interpretation of this percentage, which is however not inconsistent with estimates that 5-20% of patients taking statins will experience typical side effects at some time.
Future work on pharmacovigilance may be informed by this novel commercial tool, but the inability to mine the full text of a posting poses serious challenges to content categorization.
上市后药物安全性监测仍然充满了复杂性。供应商的正式确定和向不良事件登记处报告、制造商的正式调查以及电子病历的挖掘都是众所周知的方法，具有不同程度的难度、成本和成功率。新方法可能是有用的辅助手段，尤其是挖掘或采样基于互联网的方法（如在线社交网络）的方法。
使用来自 Sysomos 的 Datasift/Facebook 的新型商业软件即服务数据挖掘产品，挖掘了 2017 年 1 月 9 日至 2 月 8 日期间美国 Facebook 上关于他汀类药物和相关副作用的所有提及。
在 25700 次提及他汀类药物的所有提及中，有 4.3%还提到了典型的他汀类药物相关副作用。多种方法学上的弱点阻碍了对这一比例的解释，然而，这与估计 5-20%的服用他汀类药物的患者在某些时候会出现典型副作用的估计并不矛盾。
未来的药物警戒工作可能会受到这种新型商业工具的启发，但无法挖掘帖子的全文对内容分类构成了严重挑战。
