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Mining heterogeneous networks with topological features constructed from patient-contributed content for pharmacovigilance.利用从患者贡献内容构建的拓扑特征挖掘异构网络进行药物警戒。
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本文引用的文献

1
Oral bisphosphonates and oesophageal cancer.口服双膦酸盐与食管癌
BMJ. 2010 Sep 1;341:c4506. doi: 10.1136/bmj.c4506.
2
Oral bisphosphonates and risk of cancer of oesophagus, stomach, and colorectum: case-control analysis within a UK primary care cohort.口服双膦酸盐与食管、胃和结直肠癌风险:英国初级保健队列中的病例对照分析。
BMJ. 2010 Sep 1;341:c4444. doi: 10.1136/bmj.c4444.
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Exposure to oral bisphosphonates and risk of esophageal cancer.口服双膦酸盐暴露与食管癌风险
JAMA. 2010 Aug 11;304(6):657-63. doi: 10.1001/jama.2010.1098.
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EIDOS: a mechanistic classification of adverse drug effects.EIDOS:一种药物不良反应的机制分类。
Drug Saf. 2010 Jan 1;33(1):15-23. doi: 10.2165/11318910-000000000-00000.
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The evolution of evidence hierarchies: what can Bradford Hill's 'guidelines for causation' contribute?证据等级体系的演变:布拉德福德·希尔的“因果关系指南”能做出什么贡献?
J R Soc Med. 2009 May;102(5):186-94. doi: 10.1258/jrsm.2009.090020.
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A strategy for regulatory action when new adverse effects of a licensed product emerge.当已获许可产品出现新的不良反应时的监管行动策略。
Drug Saf. 2009;32(2):91-8. doi: 10.2165/00002018-200932020-00002.
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Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients.药物不良反应作为入院原因:对18820例患者的前瞻性分析。
BMJ. 2004 Jul 3;329(7456):15-9. doi: 10.1136/bmj.329.7456.15.
8
Joining the DoTS: new approach to classifying adverse drug reactions.加入药物不良反应术语集:药物不良反应分类的新方法。
BMJ. 2003 Nov 22;327(7425):1222-5. doi: 10.1136/bmj.327.7425.1222.
9
THE ENVIRONMENT AND DISEASE: ASSOCIATION OR CAUSATION?环境与疾病:关联还是因果关系?
Proc R Soc Med. 1965 May;58(5):295-300. doi: 10.1177/003591576505800503.
10
THE DESIGN AND LOGIC OF A MONITOR OF DRUG USE.药物使用监测仪的设计与逻辑
J Chronic Dis. 1965 Jan;18:77-98. doi: 10.1016/0021-9681(65)90054-8.

药物警戒

Pharmacovigilance.

作者信息

Edwards I Ralph

机构信息

Uppsala Monitoring Centre, Uppsala, Sweden.

出版信息

Br J Clin Pharmacol. 2012 Jun;73(6):979-82. doi: 10.1111/j.1365-2125.2012.04249.x.

DOI:10.1111/j.1365-2125.2012.04249.x
PMID:22360774
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3391531/
Abstract

Adverse drug reactions are the fifth most frequent cause of deaths in developed countries, effectively a global epidemic. However, progress in ameliorating the problem has been slow. Pharmacovigilance currently operates without clear objectives in relation to individual decisions, with no protocol (although risk management plans are a great step forward), with obscure materials and methods used for making decisions, with very limited reasoning and discussion, and little or no follow up and audit of the results. Problems include under-reporting, poor quality reports, underuse of the latest communications technology and suboptimal individual feedback to reporters. Assessment of causality is poor, impeding decision-making. After signal detection, more active measures to assess the risk to public health are needed. Other essential factors include precision about the ways in which data are prepared and transformed into databases, the recognition of secondary effects, which may be more obvious than the primary effect, but not so easy to link causally, and cognisance of all kinds of interactions. Areas that should be developed include pharmacoepidemiology, knowledge finding (through data mining), and communication and systems technology. The general way forward seems clear: a rigorous way of documenting all the steps, from getting reports of harms into regulatory databases to assessing their effects on public health, is essential and should be publicly reviewed for weaknesses. In turn, matters would be much improved by input on benefit/harm perceptions from patient groups, influencing decisions about what should be the true targets for regulatory and pharmacovigilance activities, avoiding second guessing by regulators.

摘要

药物不良反应是发达国家第五大常见死因,实际上已成为全球性问题。然而,在改善这一问题方面进展缓慢。目前,药物警戒在个体决策方面缺乏明确目标,没有规范流程(尽管风险管理计划是一大进步),决策所使用的资料和方法模糊不清,推理和讨论非常有限,对结果几乎没有后续跟进和审核。问题包括报告不足、报告质量差、未充分利用最新通信技术以及对报告者的个体反馈欠佳。因果关系评估不力,阻碍了决策制定。在信号检测之后,需要采取更积极的措施来评估对公众健康的风险。其他重要因素包括数据准备和转换为数据库的方式的精确性、对可能比主要效应更明显但因果关系较难关联的次要效应的认识,以及对各种相互作用的认知。应发展的领域包括药物流行病学、知识发现(通过数据挖掘)以及通信和系统技术。总体前进方向似乎很明确:从将危害报告录入监管数据库到评估其对公众健康的影响,对所有步骤进行严格记录的方式至关重要,并且应对其弱点进行公开审查。反过来,如果患者群体能提供关于利弊认知的信息,影响监管和药物警戒活动真正目标的决策,避免监管机构的无端猜测,情况将会有很大改善。