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引入分诊逻辑作为世界卫生组织药物监测数据库中信号检测的新策略。

Introducing triage logic as a new strategy for the detection of signals in the WHO Drug Monitoring Database.

作者信息

Ståhl M, Lindquist M, Edwards I R, Brown E G

机构信息

Uppsala Monitoring Centre, Uppsala, Sweden.

出版信息

Pharmacoepidemiol Drug Saf. 2004 Jun;13(6):355-63. doi: 10.1002/pds.894.

Abstract

PURPOSE

An important role for the WHO Programme for International Drug Monitoring is to identify signals of international drug safety problems as early as possible. The signal detection strategy, operated at the Uppsala Monitoring Centre (UMC), gave too many drug-adverse drug reaction (ADR) combinations for individual review. Therefore additional selection strategies were needed to improve the likely signal-to-noise ratio and for the UMC to complement the efforts of national centres in an efficient way.

METHODS

The combinations database of the first quarter of 2001 was analysed using algorithms representing different strategies for finding relevant signals using triage logic.

RESULTS

The strategies that together gave a manageable number of combinations, i.e. around 600, for further consideration in a single quarter were the algorithms for 'Rapid reporting increase', 'Serious reaction and new drug' and 'Special interests'. These filters began to be used routinely on the combinations database in late 2001.

CONCLUSIONS

While stressing that human review is essential, triage strategies are useful when attempting analysis of large amounts of data. By definition, the use of triage strategies may exclude some potential signals from consideration, although the intention is to improve the chances of detection by focussing on areas of greatest importance.

摘要

目的

世界卫生组织国际药品监测计划的一项重要作用是尽早识别国际药品安全问题的信号。乌普萨拉监测中心(UMC)实施的信号检测策略产生了过多的药品-药物不良反应(ADR)组合以供逐一审查。因此,需要额外的筛选策略来提高可能的信号噪声比,并使UMC能够有效地补充各国中心的工作。

方法

使用代表不同策略的算法,运用分类逻辑对2001年第一季度的组合数据库进行分析,以寻找相关信号。

结果

在单个季度中,综合起来能产生数量可控(即约600个)的组合以供进一步考虑的策略是“快速报告增加”、“严重反应与新药”以及“特殊关注”算法。这些筛选方法于2001年末开始在组合数据库中常规使用。

结论

虽然强调人工审查至关重要,但在尝试分析大量数据时,分类策略是有用的。根据定义,使用分类策略可能会排除一些潜在信号以供考虑,尽管其目的是通过专注于最重要的领域来提高检测的机会。

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