Literature DB >> 15073883

From association to alert--a revised approach to international signal analysis.

M Lindquist1, I R Edwards, A Bate, H Fucik, A M Nunes, M Ståhl.   

Abstract

From the inception of the WHO international drug monitoring programme, the main aim has been to detect signals of adverse reaction problems as early as possible. The Uppsala Monitoring Centre (UMC), is now in a better position to fulfil this mission. Using the latest technology, new tools have been developed which allow for rapid, robust and comprehensive data mining of the WHO database. Based on retrospective time scans made during the pilot phase the current threshold used is the 97.5% confidence level of difference from the generality of the database. To maximize the capacity for picking up signals, we intend to extend today's panel of expert consultants, as well as doing our own review. The new system includes an enhanced follow-up list of signals, a 're-signalling' procedure and a cumulative historical file of all drug-ADR associations. Already we produce some 50 signals per year, cisapride and tachycardia being an example of a controversial signal only recently accepted. With the addition of new tools for follow-up of important signals such as complex variable data mining techniques, and the combination of WHO ADR data with sales and prescription figures from the IMS, we will be able to provide more information that should benefit regulators, producers, prescribers, and most importantly, the users of medicines. Copyright 1999 John Wiley & Sons, Ltd.

Entities:  

Year:  1999        PMID: 15073883     DOI: 10.1002/(sici)1099-1557(199904)8:1+<s15::aid-pds402>3.3.co;2-2

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  29 in total

1.  A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database.

Authors:  M Lindquist; M Ståhl; A Bate; I R Edwards; R H Meyboom
Journal:  Drug Saf       Date:  2000-12       Impact factor: 5.606

2.  Determinants of signal selection in a spontaneous reporting system for adverse drug reactions.

Authors:  E P van Puijenbroek; K van Grootheest; W L Diemont; H G Leufkens; A C Egberts
Journal:  Br J Clin Pharmacol       Date:  2001-11       Impact factor: 4.335

Review 3.  Quantitative methods in pharmacovigilance: focus on signal detection.

Authors:  Manfred Hauben; Xiaofeng Zhou
Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

4.  Use of measures of disproportionality in pharmacovigilance: three Dutch examples.

Authors:  Antoine C G Egberts; Ronald H B Meyboom; Eugène P van Puijenbroek
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

5.  A data mining approach for signal detection and analysis.

Authors:  Andrew Bate; Marie Lindquist; I Ralph Edwards; Roland Orre
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

6.  Statistical techniques for signal generation: the Australian experience.

Authors:  Patrick Purcell; Simon Barty
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

7.  Assessing the impact of drug safety signals from the WHO database presented in 'SIGNAL': results from a questionnaire of National pharmacovigilance Centres.

Authors:  Malin Ståhl; I Ralph Edwards; Geoffrey Bowring; Anne Kiuru; Marie Lindquist
Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

8.  Do pharmacists' reports of adverse drug reactions reflect patients' concerns?

Authors:  Kees van Grootheest; Eugène P van Puijenbroek; Lolkje T W de Jong-van den Berg
Journal:  Pharm World Sci       Date:  2004-06

Review 9.  Clarification of terminology in drug safety.

Authors:  Jeffrey K Aronson; Robin E Ferner
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

10.  A distributed, collaborative intelligent agent system approach for proactive postmarketing drug safety surveillance.

Authors:  Yanqing Ji; Hao Ying; Margo S Farber; John Yen; Peter Dews; Richard E Miller; R Michael Massanari
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-12-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.