Literature DB >> 26895342

Authors' Reply to Alain Braillon's Comment on "The Contribution of National Spontaneous Reporting Systems to Detect Signals of Torsadogenicity: Issues Emerging from the ARITMO Project".

Emanuel Raschi1, Elisabetta Poluzzi1, Francesco Salvo2,3,4, Ugo Moretti5, Fabrizio De Ponti6.   

Abstract

Mesh：

Year:  2016        PMID： 26895342     DOI： 10.1007/s40264-016-0404-2

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


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  9 in total

1.  An Empirical Approach to Explore the Relationship Between Measures of Disproportionate Reporting and Relative Risks from Analytical Studies.

Authors:  Miguel-Angel Maciá-Martínez; Francisco J de Abajo; Gilly Roberts; Jim Slattery; Bharat Thakrar; Antoni F Z Wisniewski
Journal:  Drug Saf       Date:  2016-01       Impact factor: 5.606

Review 2.  The Role of Disproportionality Analysis of Pharmacovigilance Databases in Safety Regulatory Actions: a Systematic Review.

Authors:  Patrícia Dias; Ana Penedones; Carlos Alves; Carlos F Ribeiro; Francisco B Marques
Journal:  Curr Drug Saf       Date:  2015

3.  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

4.  Drug-induced torsades de pointes: data mining of the public version of the FDA Adverse Event Reporting System (AERS).

Authors:  Elisabetta Poluzzi; Emanuel Raschi; Ugo Moretti; Fabrizio De Ponti
Journal:  Pharmacoepidemiol Drug Saf       Date:  2009-06       Impact factor: 2.890

5.  Comment on 'The Contribution of National Spontaneous Reporting Systems to Detect Signals of Torsadogenicity: Issues Emerging from the ARITMO Project'.

Authors:  Alain Braillon
Journal:  Drug Saf       Date:  2016-04       Impact factor: 5.606

6.  Useful Interplay Between Spontaneous ADR Reports and Electronic Healthcare Records in Signal Detection.

Authors:  Alexandra C Pacurariu; Sabine M Straus; Gianluca Trifirò; Martijn J Schuemie; Rosa Gini; Ron Herings; Giampiero Mazzaglia; Gino Picelli; Lorenza Scotti; Lars Pedersen; Peter Arlett; Johan van der Lei; Miriam C Sturkenboom; Preciosa M Coloma
Journal:  Drug Saf       Date:  2015-12       Impact factor: 5.606

7.  Antipsychotics and torsadogenic risk: signals emerging from the US FDA Adverse Event Reporting System database.

Authors:  Elisabetta Poluzzi; Emanuel Raschi; Ariola Koci; Ugo Moretti; Edoardo Spina; Elijah R Behr; Miriam Sturkenboom; Fabrizio De Ponti
Journal:  Drug Saf       Date:  2013-06       Impact factor: 5.606

8.  Torsadogenic risk of antipsychotics: combining adverse event reports with drug utilization data across Europe.

Authors:  Emanuel Raschi; Elisabetta Poluzzi; Brian Godman; Ariola Koci; Ugo Moretti; Marija Kalaba; Marion Bennie; Corrado Barbui; Bjorn Wettermark; Miriam Sturkenboom; Fabrizio De Ponti
Journal:  PLoS One       Date:  2013-11-20       Impact factor: 3.240

9.  The Contribution of National Spontaneous Reporting Systems to Detect Signals of Torsadogenicity: Issues Emerging from the ARITMO Project.

Authors:  Emanuel Raschi; Elisabetta Poluzzi; Francesco Salvo; Ariola Koci; Marc Suling; Stefania Antoniazzi; Luisella Perina; Lorna Hazell; Ugo Moretti; Miriam Sturkenboom; Edeltraut Garbe; Antoine Pariente; Fabrizio De Ponti
Journal:  Drug Saf       Date:  2016-01       Impact factor: 5.606
  9 in total

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