Literature DB >> 9429837

Causal or casual? The role of causality assessment in pharmacovigilance.

R H Meyboom1, Y A Hekster, A C Egberts, F W Gribnau, I R Edwards.   

Abstract

As with any other study method, 'spontaneous reporting' in pharmacovigilance is a process of data acquisition, assessment, presentation and interpretation. The provision of information (i.e. of interpreted data) concerning previously unknown, or otherwise important adverse drug reactions is a major goal. The assessment of case reports in spontaneous reporting takes place in 2 steps: first the assessment of each case individually, and secondly the interpretation of the aggregated data. The latter step is only completed for a minority of case reports, such as when actions or measures are deemed necessary. Uncertainty in case reports regarding the involvement of the suspected drugs is an inherent drawback of spontaneous reporting. Standardised case-causality assessment has become a routine at pharmacovigilance centres around the world. It aims at a decrease in ambiguity of the data and plays a role in data exchange and the prevention of erroneous conclusions. A variety of systems for standardised causality assessment have been developed, ranging from short questionnaires to comprehensive algorithms. Since none of the available assessment systems has been validated (i.e. shown to consistently and reproducibly produce a fair approximation of the truth), causality assessment has only limited scientific value. Causality assessment neither eliminates nor quantifies uncertainty but, at best, categorises it in a semiquantitative way. Routine causality assessment is usually part of the first step in case assessment, and is based on a general system that is intended for all reactions and all drugs. During the subsequent phase of aggregated assessment, causality assessment is likely to be repeated and the use of a specific aetiological-diagnostic system may be more appropriate. It may be recommended to restrict case-causality assessment to selected case reports that are likely to play an active role in pharmacovigilance and to use specific systems, adapted to the reaction or problem involved. It is an inherent limitation of spontaneous reporting that, with the exception of rare proof-positive case reports, conclusive evidence cannot usually be produced. Standardised causality assessment has not really changed this situation. As a rule, confirmation of the connection between a drug and an adverse reaction requires further analytical or experimental study.

Mesh:

Year:  1997        PMID: 9429837     DOI: 10.2165/00002018-199717060-00004

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


  38 in total

1.  Reasons for reporting adverse drug reactions--some thoughts based on an international review.

Authors:  C Biriell; I R Edwards
Journal:  Pharmacoepidemiol Drug Saf       Date:  1997-01       Impact factor: 2.890

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Authors:  R H Meyboom
Journal:  Pharm World Sci       Date:  1997-08

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Journal:  Int J Risk Saf Med       Date:  1991

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Journal:  JAMA       Date:  1979-08-17       Impact factor: 56.272

Review 6.  Does proof of casualty ever exist in pharmacovigilance?

Authors:  M Auriche; E Loupi
Journal:  Drug Saf       Date:  1993-09       Impact factor: 5.606

7.  Comparison of the Bayesian approach and a simple algorithm for assessment of adverse drug events.

Authors:  K L Lanctôt; C A Naranjo
Journal:  Clin Pharmacol Ther       Date:  1995-12       Impact factor: 6.875

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Journal:  Clin Pharmacol Ther       Date:  1977-03       Impact factor: 6.875

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Journal:  Therapie       Date:  1981 Jan-Feb       Impact factor: 2.070

10.  Standardized assessment of drug-adverse reaction associations--rationale and experience.

Authors:  J Venulet; A Ciucci; G C Berneker
Journal:  Int J Clin Pharmacol Ther Toxicol       Date:  1980-09
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  71 in total

1.  Spontaneous reporting--of what? Clinical concerns about drugs.

Authors:  I R Edwards
Journal:  Br J Clin Pharmacol       Date:  1999-08       Impact factor: 4.335

Review 2.  Pharmacovigilance in perspective.

Authors:  R H Meyboom; A C Egberts; F W Gribnau; Y A Hekster
Journal:  Drug Saf       Date:  1999-12       Impact factor: 5.606

3.  Reporting of adverse drug reactions by poison control centres in the US.

Authors:  P A Chyka; S W McCommon
Journal:  Drug Saf       Date:  2000-07       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.  Signal selection and follow-up in pharmacovigilance.

Authors:  Ronald H B Meyboom; Marie Lindquist; Antoine C G Egberts; I Ralph Edwards
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

6.  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

7.  Comparison of three methods (consensual expert judgement, algorithmic and probabilistic approaches) of causality assessment of adverse drug reactions: an assessment using reports made to a French pharmacovigilance centre.

Authors:  Hélène Théophile; Yannick Arimone; Ghada Miremont-Salamé; Nicholas Moore; Annie Fourrier-Réglat; Françoise Haramburu; Bernard Bégaud
Journal:  Drug Saf       Date:  2010-11-01       Impact factor: 5.606

8.  Agreement of expert judgment in causality assessment of adverse drug reactions.

Authors:  Yannick Arimone; Bernard Bégaud; Ghada Miremont-Salamé; Annie Fourrier-Réglat; Nicholas Moore; Mathieu Molimard; Françoise Haramburu
Journal:  Eur J Clin Pharmacol       Date:  2005-04-13       Impact factor: 2.953

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.  Drug-induced anaphylaxis : case/non-case study based on an italian pharmacovigilance database.

Authors:  Roberto Leone; Anita Conforti; Mauro Venegoni; Domenico Motola; Ugo Moretti; Ilaria Meneghelli; Alfredo Cocci; Giulia Sangiorgi Cellini; Stefania Scotto; Nicola Montanaro; Giampaolo Velo
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

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