判断
因果关系(物理学)
药物警戒
药物不良反应
一致性(知识库)
口译(哲学)
计算机科学
计量经济学
不利影响
药品
医学
人工智能
数学
认识论
药理学
物理
哲学
程序设计语言
量子力学
标识
DOI:10.4268/cjcmm20121819
摘要
Adverse drug reaction (ADR) causality judgement is a routine procedure in pharmacovigilance, no unified judgement standard and categories standard are established. Temporal relations, consistency, specificity, intensity of reaction are the basic principle of ADR causality jugement we should abide by. There are many ADR causality assessment methods, which classifies standard algorithms, expert judgement, bayesian approches. The implicit definitions of some categories standard, incomplete information from case reports coupled with vast differences in the application of clinical judgements are the major problems facing ADR evaluation. Almost every kind of method shares certain common feature, that is, causal relationship of ADR is classified about five categories. However, causality assessment methods differ in basic principle, evaluation standard, specificity and sensitivity. There are some advantages and disadvantages among methods, but no causality assessment method can be applied to all ADR evaluation to date.
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