Literature DB >> 28664354

Impact of Medicine Withdrawal on Reporting of Adverse Events Involving Therapeutic Alternatives: A Study from the French Spontaneous Reporting Database.

Cécile Pageot1,2,3,4, Julien Bezin5,6,7, Andy Smith5,6, Mickael Arnaud5,6, Francesco Salvo6,7, Françoise Haramburu6,7,8, Bernard Bégaud5,6, Antoine Pariente5,6,7.   

Abstract

INTRODUCTION: The consequences of the withdrawal of marketing authorisation of drugs have mostly been studied considering drug prescription patterns for the therapeutic alternatives of the withdrawn drugs. The potential concomitant changes in the reporting of adverse reactions concerning these alternatives have been studied less often.
OBJECTIVE: The objective of this study was to analyse the changes in the reporting of adverse events (AEs) for therapeutic alternatives after the withdrawal of three medicines (dextropropoxyphene, pioglitazone and tetrazepam) from the market for safety reasons.
METHODS: This study was performed using both the French pharmacovigilance database and the Echantillon Généraliste des Bénéficiaires (a random sample of French health insurance affiliates). For dextropropoxyphene, pioglitazone and tetrazepam alternatives, the number and types of case reports were studied for both the year preceding the first official safety warning and the year following the withdrawal. Reporting rates expressed per 10,000 reimbursements (RRReimb) and per 10,000 treated patients (RRPat) were also compared for the two periods.
RESULTS: After dextropropoxyphene withdrawal, case reports and reimbursements increased for tramadol (case reports: +23%, reimbursements: +13%) and codeine (case reports: +74%, reimbursements: +47%), RRPat being significantly increased for tramadol (0.92 vs. 1.06, p = 0.02). After pioglitazone withdrawal, case reports increased for dipeptidyl peptidase-4 (DPP-4) inhibitors, glinides, and glucagon-like peptide 1 (GLP-1) analogues (+84%, +22% and +5%, respectively) and reimbursements (+55, +11 and +50%, respectively); both decreased for sulfonylureas (case reports: -6%, reimbursements: -2%). RRPat increased for DPP-4 inhibitors (1.63 vs. 2.26, p = 0.008). After tetrazepam withdrawal, case reports increased for diazepam, methocarbamol and thiocolchicoside (+110, +86 and +157%, respectively), as lesser did reimbursements. RRPat increased for diazepam (1.78 vs. 2.41, p = 0.054) and thiocolchicoside (0.14 vs. 0.24, p = 0.013).
CONCLUSION: For the three drug withdrawals investigated, the number of case reports involving alternatives increased to a larger extent than the numbers of prescriptions. This could relate to a higher occurrence of AEs in new users of alternatives who switched from the withdrawn medicines or to an increased awareness of possible AEs.

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Year:  2017        PMID: 28664354     DOI: 10.1007/s40264-017-0561-y

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


  16 in total

Review 1.  Joining the DoTS: new approach to classifying adverse drug reactions.

Authors:  J K Aronson; R E Ferner
Journal:  BMJ       Date:  2003-11-22

2.  Statin safety: an appraisal from the adverse event reporting system.

Authors:  Michael H Davidson; John A Clark; Lucas M Glass; Anju Kanumalla
Journal:  Am J Cardiol       Date:  2006-02-03       Impact factor: 2.778

3.  Consequences of dextropropoxyphene market withdrawal in elderly patients with chronic pain.

Authors:  Laurent Becquemont; Tiba Delespierre; Bernard Bauduceau; Linda Benattar-Zibi; Gilles Berrut; Emmanuelle Corruble; Nicolas Danchin; Geneviève Derumeaux; Jean Doucet; Bruno Falissard; Francoise Forette; Olivier Hanon; Florence Pasquier; Michel Pinget; Rissane Ourabah; Sophie Bucher; Aida Lazkani; Celine Piedvache; Philippe Bertin
Journal:  Eur J Clin Pharmacol       Date:  2014-07-29       Impact factor: 2.953

4.  Is spontaneous reporting always the most important information supporting drug withdrawals for pharmacovigilance reasons in France?

Authors:  Marie-Noelle Paludetto; Pascale Olivier-Abbal; Jean-Louis Montastruc
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-09-07       Impact factor: 2.890

5.  French national health insurance information system and the permanent beneficiaries sample.

Authors:  P Tuppin; L de Roquefeuil; A Weill; P Ricordeau; Y Merlière
Journal:  Rev Epidemiol Sante Publique       Date:  2010-07-03       Impact factor: 1.019

6.  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

7.  [Which analgesic after dextropropoxyphene withdrawal? A survey in a sample of general practitioners in southwest of France].

Authors:  Serge Bismuth; Eng Laing Leng; Stéphane Oustric; Jean-Louis Montastruc; Maryse Lapeyre-Mestre
Journal:  Therapie       Date:  2011-04-07       Impact factor: 2.070

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

Authors:  Antoine Pariente; Fleur Gregoire; Annie Fourrier-Reglat; Françoise Haramburu; Nicholas Moore
Journal:  Drug Saf       Date:  2007       Impact factor: 5.606

Review 9.  Under-reporting of adverse drug reactions : a systematic review.

Authors:  Lorna Hazell; Saad A W Shakir
Journal:  Drug Saf       Date:  2006       Impact factor: 5.228

Review 10.  Post-marketing withdrawal of 462 medicinal products because of adverse drug reactions: a systematic review of the world literature.

Authors:  Igho J Onakpoya; Carl J Heneghan; Jeffrey K Aronson
Journal:  BMC Med       Date:  2016-02-04       Impact factor: 8.775

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  2 in total

1.  Impact of pioglitazone regulatory withdrawal on antidiabetic drug use and health in diabetic patients.

Authors:  Antoine Pariente; Yohann Mansiaux; Ana Jarné; Francesco Salvo; Cécile Pageot; Julien Bezin; Andy Smith; Bernard Bégaud
Journal:  Eur J Clin Pharmacol       Date:  2017-09-02       Impact factor: 2.953

2.  Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding-Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model.

Authors:  Hong Wu; Jiatong Ji; Haimei Tian; Yao Chen; Weihong Ge; Haixia Zhang; Feng Yu; Jianjun Zou; Mitsuhiro Nakamura; Jun Liao
Journal:  JMIR Med Inform       Date:  2021-12-01
  2 in total

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