Literature DB >> 28070741

Comment on: "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter".

Emilie Jouanjus1,2, Michel Mallaret3, Joëlle Micallef4,5, Camille Ponté6,7, Anne Roussin6,7, Maryse Lapeyre-Mestre6,7.   

Abstract

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Year:  2017        PMID： 28070741     DOI： 10.1007/s40264-016-0497-7

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


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  18 in total

1.  National addictions vigilance intervention and prevention program (NAVIPPRO): a real-time, product-specific, public health surveillance system for monitoring prescription drug abuse.

Authors:  Stephen F Butler; Simon H Budman; Andrea Licari; Theresa A Cassidy; Katherine Lioy; James Dickinson; John S Brownstein; James C Benneyan; Traci Craig Green; Nathaniel Katz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-12       Impact factor: 2.890

2.  Signal identification in addictovigilance: the functioning of the French system.

Authors:  Emilie Jouanjus; Valérie Gibaja; Jean-Pierre Kahn; Françoise Haramburu; Amélie Daveluy
Journal:  Therapie       Date:  2015-04-09       Impact factor: 2.070

3.  Example of an investigation of an "emergent" phenomenon in addiction vigilance: the case of methylphenidate.

Authors:  Joëlle Micallef; Elisabeth Frauger; Aurore Palmaro; Quentin Boucherie; Maryse Lapeyre Mestre
Journal:  Therapie       Date:  2015-04-09       Impact factor: 2.070

4.  Estimated magnitude of diversion and abuse of opioids relative to benzodiazepines in France.

Authors:  V Pauly; V Pradel; L Pourcel; S Nordmann; E Frauger; M Lapeyre-Mestre; J Micallef; X Thirion
Journal:  Drug Alcohol Depend       Date:  2012-04-03       Impact factor: 4.492

5.  The consequences of drug misuse on post-marketing surveillance.

Authors:  Fabrizio Schifano; Gabriele Duccio Papanti; Laura Orsolini; John Martin Corkery
Journal:  Expert Rev Clin Pharmacol       Date:  2016-04-25       Impact factor: 5.045

Review 6.  Overview of drug data within French health insurance databases and implications for pharmacoepidemiological studies.

Authors:  Aurore Palmaro; Guillaume Moulis; Fabien Despas; Julie Dupouy; Maryse Lapeyre-Mestre
Journal:  Fundam Clin Pharmacol       Date:  2016-07-13       Impact factor: 2.748

7.  A signal for an abuse liability for pregabalin--results from the Swedish spontaneous adverse drug reaction reporting system.

Authors:  Sofie Schwan; Anders Sundström; Elisabet Stjernberg; Ebba Hallberg; Pär Hallberg
Journal:  Eur J Clin Pharmacol       Date:  2010-06-19       Impact factor: 2.953

8.  The development of a comprehensive risk-management program for prescription opioid analgesics: researched abuse, diversion and addiction-related surveillance (RADARS).

Authors:  Theodore J Cicero; Richard C Dart; James A Inciardi; George E Woody; Sidney Schnoll; Alvaro Muñoz
Journal:  Pain Med       Date:  2007-03       Impact factor: 3.750

9.  Indicators of drug-seeking aberrant behaviours: the feasibility of use in observational post-marketing cohort studies for risk management.

Authors:  Deborah Layton; Vicki Osborne; Mohammad Al-Shukri; Saad A W Shakir
Journal:  Drug Saf       Date:  2014-08       Impact factor: 5.606

10.  Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter.

Authors:  Abeed Sarker; Karen O'Connor; Rachel Ginn; Matthew Scotch; Karen Smith; Dan Malone; Graciela Gonzalez
Journal:  Drug Saf       Date:  2016-03       Impact factor: 5.606
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  2 in total

1.  Authors' Reply to Jouanjus and Colleagues' Comment on "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter".

Authors:  Abeed Sarker; Dan Malone; Graciela Gonzalez
Journal:  Drug Saf       Date:  2017-02       Impact factor: 5.606

Review 2.  Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework.

Authors:  Abeed Sarker; Annika DeRoos; Jeanmarie Perrone
Journal:  J Am Med Inform Assoc       Date:  2020-02-01       Impact factor: 4.497
  2 in total

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