Literature DB >> 17867726

Impact of safety alerts on measures of disproportionality in spontaneous reporting databases: the notoriety bias.

Antoine Pariente1, Fleur Gregoire, Annie Fourrier-Reglat, Françoise Haramburu, Nicholas Moore.   

Abstract

BACKGROUND: Disproportionality analysis of spontaneous reporting is increasingly used, but it may be influenced in unknown ways by safety alerts (notoriety bias).
OBJECTIVE: To explore the consequences of safety alerts on reporting disproportionality.
METHODS: Within the French national pharmacovigilance database, disproportionality of reporting was tested, using the reporting odds ratio (ROR) and its 95% confidence interval, before and after four safety alerts: valvulopathies with pergolide; tuberculosis with infliximab; strokes with atypical antipsychotics; and rhabdomyolysis with HMG-CoA reductase inhibitors (statins) [after cerivastatin withdrawal].
RESULTS: No cases of valvulopathy were reported in association with pergolide before the safety alert and 63 cases were reported after the alert, (ROR 9400; 95% CI 4300, 20 000), of which five had occurred before the alert. Twenty-five reports mentioned rhabdomyolysis associated with statins (not including cerivastatin) before the safety alert (ROR 5.8; 95% CI 3.8, 9.0), and 63 did so after the alert (ROR 9.4; 95% CI 7.0, 13.0). Approximately 280 cases involving cerivastatin were reported after its withdrawal. There were two reports of tuberculosis associated with infliximab before the alert (ROR 1500; 95% CI 130, 18 000) and seven after the alert (ROR 430; 95% CI 110, 1700). There was one report of a stroke in association with atypical antipsychotic treatment before the safety alert (ROR 0.10; 95% CI 0.01, 0.63) and 16 after the alert (ROR 1.10; 95% CI 0.70, 1.90). After excluding events involving treatment with anticoagulant agents, the RORs for stroke in association with atypical antipsychotic treatment were 0.14 (95% CI 0.02, 1.00) before the alert and 2.0 (95% CI 1.2, 3.4) after the alert.
CONCLUSION: Disproportionality in spontaneous reporting databases increases after a safety alert because of increased reporting of the event of interest, including reports of such events that occurred before the alert. This may overflow to increased reporting of the event in association with other drugs.

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Year:  2007        PMID: 17867726     DOI: 10.2165/00002018-200730100-00007

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


  16 in total

1.  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

2.  Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports.

Authors:  S J Evans; P C Waller; S Davis
Journal:  Pharmacoepidemiol Drug Saf       Date:  2001 Oct-Nov       Impact factor: 2.890

3.  Evaluation of statistical association measures for the automatic signal generation in pharmacovigilance.

Authors:  Emmanuel Roux; Frantz Thiessard; Annie Fourrier; Bernard Bégaud; Pascale Tubert-Bitter
Journal:  IEEE Trans Inf Technol Biomed       Date:  2005-12

4.  Data mining in pharmacovigilance: lessons from phantom ships.

Authors:  Manfred Hauben; Lester Reich; Eugène P Van Puijenbroek; Charles M Gerrits; Vaishali K Patadia
Journal:  Eur J Clin Pharmacol       Date:  2006-08-03       Impact factor: 2.953

5.  A Bayesian neural network method for adverse drug reaction signal generation.

Authors:  A Bate; M Lindquist; I R Edwards; S Olsson; R Orre; A Lansner; R M De Freitas
Journal:  Eur J Clin Pharmacol       Date:  1998-06       Impact factor: 2.953

6.  Reports of hypoglycaemia associated with the use of ACE inhibitors and other drugs: a case/non-case study in the French pharmacovigilance system database.

Authors:  N Moore; C Kreft-Jais; F Haramburu; C Noblet; M Andrejak; M Ollagnier; B Bégaud
Journal:  Br J Clin Pharmacol       Date:  1997-11       Impact factor: 4.335

7.  Voluntary systems of adverse reaction reporting--Part I.

Authors:  J P Griffin; J C Weber
Journal:  Adverse Drug React Acute Poisoning Rev       Date:  1985

8.  Adverse drug reaction monitoring: doing it the French way.

Authors:  N Moore; M Biour; G Paux; E Loupi; B Begaud; F Boismare; R J Royer
Journal:  Lancet       Date:  1985-11-09       Impact factor: 79.321

9.  Olanzapine (Zyprexa): increased incidence of cerebrovascular events in dementia trials.

Authors:  Eric Wooltorton
Journal:  CMAJ       Date:  2004-04-27       Impact factor: 8.262

10.  A randomized placebo-controlled trial of risperidone for the treatment of aggression, agitation, and psychosis of dementia.

Authors:  Henry Brodaty; David Ames; John Snowdon; Michael Woodward; Jeff Kirwan; Roger Clarnette; Emma Lee; Ben Lyons; Fred Grossman
Journal:  J Clin Psychiatry       Date:  2003-02       Impact factor: 4.384

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  71 in total

1.  Serotonin reuptake inhibitors and hyperprolactinaemia: a case/non-case study in the French pharmacovigilance database.

Authors:  Thierry Trenque; Emmanuelle Herlem; Pascal Auriche; Moustapha Dramé
Journal:  Drug Saf       Date:  2011-12-01       Impact factor: 5.606

2.  Monitoring adverse events of the vaccination campaign against influenza A (H1N1) in the Netherlands.

Authors:  Eugène P van Puijenbroek; Nancy Broos; Kees van Grootheest
Journal:  Drug Saf       Date:  2010-12-01       Impact factor: 5.606

3.  Antimicrobials and the risk of torsades de pointes: the contribution from data mining of the US FDA Adverse Event Reporting System.

Authors:  Elisabetta Poluzzi; Emanuel Raschi; Domenico Motola; Ugo Moretti; Fabrizio De Ponti
Journal:  Drug Saf       Date:  2010-04-01       Impact factor: 5.606

4.  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

5.  A Method for the Minimization of Competition Bias in Signal Detection from Spontaneous Reporting Databases.

Authors:  Mickael Arnaud; Francesco Salvo; Ismaïl Ahmed; Philip Robinson; Nicholas Moore; Bernard Bégaud; Pascale Tubert-Bitter; Antoine Pariente
Journal:  Drug Saf       Date:  2016-03       Impact factor: 5.606

6.  Profiling cumulative proportional reporting ratios of drug-induced liver injury in the FDA Adverse Event Reporting System (FAERS) database.

Authors:  Allen D Brinker; Jenna Lyndly; Joseph Tonning; David Moeny; Jonathan G Levine; Mark I Avigan
Journal:  Drug Saf       Date:  2013-12       Impact factor: 5.606

7.  Reporting patterns indicative of adverse drug interactions: a systematic evaluation in VigiBase.

Authors:  Johanna Strandell; Ola Caster; Andrew Bate; Niklas Norén; I Ralph Edwards
Journal:  Drug Saf       Date:  2011-03-01       Impact factor: 5.606

8.  When to publish measures of disproportionality derived from spontaneous reporting databases?

Authors:  Anthonius de Boer
Journal:  Br J Clin Pharmacol       Date:  2011-12       Impact factor: 4.335

9.  Stronger association of drug-induced progressive multifocal leukoencephalopathy (PML) with biological immunomodulating agents.

Authors:  Carlo Piccinni; Chiara Sacripanti; Elisabetta Poluzzi; Domenico Motola; Lara Magro; Ugo Moretti; Anita Conforti; Nicola Montanaro
Journal:  Eur J Clin Pharmacol       Date:  2009-10-17       Impact factor: 2.953

10.  Characterization of Statin-Associated Myopathy Case Reports in Thailand Using the Health Product Vigilance Center Database.

Authors:  Pornwalai Boonmuang; Surakit Nathisuwan; Nathorn Chaiyakunapruk; Wimon Suwankesawong; Pattreya Pokhagul; Nattawat Teerawattanapong; Pairin Supsongserm
Journal:  Drug Saf       Date:  2013-09       Impact factor: 5.606

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