Literature DB >> 19236117

Defining 'signal' and its subtypes in pharmacovigilance based on a systematic review of previous definitions.

Manfred Hauben1, Jeffrey K Aronson.   

Abstract

Having surveyed the etymology and previous definitions of the pharmacovigilance term 'signal', we propose a definition that embraces all the surveyed ideas, reflects real-world pharmacovigilance processes, and accommodates signals of both harmful and beneficial effects. The essential definitional features of a pharmacovigilance signal are (i) that it is based on one or more reports of an association between an intervention or interventions and an event or set of related events (e.g. a syndrome), including any type of evidence (clinical or experimental); (ii) that it represents an association that is new and important and has not been previously investigated and refuted; (iii) that it incites to action (verification and remedial action); (iv) that it does not encompass intervention-event associations that are not related to causality or risk with a specified degree of likelihood and scientific plausibility. Based on these features, we propose this definition of a signal of suspected causality: "information that arises from one or multiple sources (including observations and experiments), which suggests a new potentially causal association, or a new aspect of a known association, between an intervention and an event or set of related events, either adverse or beneficial, which would command regulatory, societal or clinical attention, and is judged to be of sufficient likelihood to justify verifiable and, when necessary, remedial actions." This defines an unverified signal; we have also defined term-- indeterminate, verified, and refuted signals--that qualify it in relation to verification. This definition and its accompanying flowchart should inform decision making in considering benefits and harms caused by pharmacological and nonpharmacological interventions.

Mesh:

Year:  2009        PMID: 19236117     DOI: 10.2165/00002018-200932020-00003

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  18 in total

1.  Use of a spontaneous adverse drug events database for identification of unanticipated drug benefits.

Authors:  Allen Brinker; Julie Beitz
Journal:  Clin Pharmacol Ther       Date:  2002-01       Impact factor: 6.875

Review 2.  Clarification of terminology in drug safety.

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

3.  Communication of findings in pharmacovigilance: use of the term "signal" and the need for precision in its use.

Authors:  Manfred Hauben; Lester Reich
Journal:  Eur J Clin Pharmacol       Date:  2005-07-01       Impact factor: 2.953

4.  The NSAID roller coaster: more about rofecoxib.

Authors:  J K Aronson
Journal:  Br J Clin Pharmacol       Date:  2006-09       Impact factor: 4.335

Review 5.  The application of knowledge discovery in databases to post-marketing drug safety: example of the WHO database.

Authors:  A Bate; M Lindquist; I R Edwards
Journal:  Fundam Clin Pharmacol       Date:  2008-02-01       Impact factor: 2.748

6.  Should we tolerate tolerability as an objective in early drug development?

Authors:  A Cohen
Journal:  Br J Clin Pharmacol       Date:  2007-09       Impact factor: 4.335

Review 7.  Principles of signal detection in pharmacovigilance.

Authors:  R H Meyboom; A C Egberts; I R Edwards; Y A Hekster; F H de Koning; F W Gribnau
Journal:  Drug Saf       Date:  1997-06       Impact factor: 5.606

8.  Acetaminophen and other risk factors for excessive warfarin anticoagulation.

Authors:  E M Hylek; H Heiman; S J Skates; M A Sheehan; D E Singer
Journal:  JAMA       Date:  1998-03-04       Impact factor: 56.272

9.  Safety related drug-labelling changes: findings from two data mining algorithms.

Authors:  Manfred Hauben; Lester Reich
Journal:  Drug Saf       Date:  2004       Impact factor: 5.606

10.  The New Zealand intensive medicines monitoring programme in pro-active safety surveillance.

Authors:  D M Coulter
Journal:  Pharmacoepidemiol Drug Saf       Date:  2000-07       Impact factor: 2.890

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  35 in total

1.  Selected national pharmacovigilance websites: an analysis of contents.

Authors:  Charlotte I S Barker; John C C Talbot; Jeffrey K Aronson
Journal:  Drug Saf       Date:  2012-02-01       Impact factor: 5.606

Review 2.  Paradoxical and bidirectional drug effects.

Authors:  Silas W Smith; Manfred Hauben; Jeffrey K Aronson
Journal:  Drug Saf       Date:  2012-03-01       Impact factor: 5.606

3.  Reflections on attribution and decisions in pharmacovigilance.

Authors:  Ola Caster; I Ralph Edwards
Journal:  Drug Saf       Date:  2010-10-01       Impact factor: 5.606

4.  A decade of data mining and still counting.

Authors:  Manfred Hauben; G Niklas Norén
Journal:  Drug Saf       Date:  2010-07-01       Impact factor: 5.606

5.  An experimental investigation of masking in the US FDA adverse event reporting system database.

Authors:  Hsin-wei Wang; Alan M Hochberg; Ronald K Pearson; Manfred Hauben
Journal:  Drug Saf       Date:  2010-12-01       Impact factor: 5.606

6.  Understanding and communicating key concepts in risk management: what do we mean by benefit and risk?

Authors:  I Ralph Edwards; Marie Lindquist
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

7.  Medication errors: definitions and classification.

Authors:  Jeffrey K Aronson
Journal:  Br J Clin Pharmacol       Date:  2009-06       Impact factor: 4.335

8.  Comparison of statistical signal detection methods within and across spontaneous reporting databases.

Authors:  Gianmario Candore; Kristina Juhlin; Katrin Manlik; Bharat Thakrar; Naashika Quarcoo; Suzie Seabroke; Antoni Wisniewski; Jim Slattery
Journal:  Drug Saf       Date:  2015-06       Impact factor: 5.606

9.  Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection.

Authors:  Vaishali K Patadia; Martijn J Schuemie; Preciosa Coloma; Ron Herings; Johan van der Lei; Sabine Straus; Miriam Sturkenboom; Gianluca Trifirò
Journal:  Int J Clin Pharm       Date:  2014-12-09

10.  Defining 'surveillance' in drug safety.

Authors:  Jeffrey K Aronson; Manfred Hauben; Andrew Bate
Journal:  Drug Saf       Date:  2012-05-01       Impact factor: 5.606

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