Bégaud, 2002, Rates of spontaneous reporting of adverse drug reactions in France, JAMA, 288, 1588, 10.1001/jama.288.13.1588
Al Dweik, 2017, Factors affecting patient reporting of adverse drug reactions: a systematic review, Br J Clin Parmacol, 83, 875, 10.1111/bcp.13159
Rolfes, 2017, The quality of clinical information in adverse drug reaction reports by patients and healthcare professionals: a retrospective comparative analysis, Drug Saf, 40, 607, 10.1007/s40264-017-0530-5
Lagneau, 2017, Comparative relevance of declaration of side effects by patients and health professionals, Therapie, 72, 625, 10.1016/j.therap.2017.04.004
Micoulaud-Franchi, 2011, One step more toward pharmacovigilance 2.0. Integration of web data community for a pharmacovigilance more alert, Presse Med, 40, 790, 10.1016/j.lpm.2011.07.001
Bagheri, 2016, Cyberpharmacovigilance: what is the usefulness of the social networks in pharmacovigilance?, Therapie, 71, 235, 10.1016/j.therap.2015.09.002
Salathé, 2016, Digital pharmacovigilance and disease surveillance: combining traditional and big-data systems for better public health, J Infect Dis, 214, S399, 10.1093/infdis/jiw281
Lardon, 2015, Adverse drug reaction identification and extraction in social media: a scoping review, J Med Internet Res, 17, e171, 10.2196/jmir.4304
Abou Taam, 2014, Analysis of patients’ narratives posted on social media websites on benfluorex's (Mediator®) withdrawal in France, J Clin Pharm Ther, 39, 53, 10.1111/jcpt.12103
Pages, 2014, Undesirable effects related to oral antineoplastic drugs: comparison between patients’ internet narratives and a national pharmacovigilance database, Drug Saf, 37, 629, 10.1007/s40264-014-0203-6
Palosse-Cantaloube, 2014, Analysis of chats on French internet forums about drugs and pregnancy, Pharmacoepidemiol Drug Saf, 23, 1330, 10.1002/pds.3709
Karapetiantz, 2018, Descriptions of adverse drug reactions are less informative in forums than in the French pharmacovigilance database but provide more unexpected reactions, Front Pharmacol, 9, 439, 10.3389/fphar.2018.00439
Rolland, 2015, Temporary recommendation for use on off-label baclofen: viewpoint of Prescribers of the CAMTEA system, Therapie, 70, 235, 10.2515/therapie/2014210
Vial, 2016, French pharmacovigilance: missions, organization and perspectives, Therapie, 71, 143, 10.1016/j.therap.2016.02.029
Audeh, 2017, Vigi4Med scraper: a framework for web forum structured data extraction and semantic representation, PLoS One, 12, e0169658, 10.1371/journal.pone.0169658
Morlane-Hondère, 2016, Identification of drug-related medical conditions in social media
Miremont Salamé, 2016, Causality assessment in pharmacovigilance: the French method and its successive updates, Therapie, 71, 179, 10.1016/j.therap.2016.02.010
EMA, 2017
Bergvall, 2014, VigiGrade: a tool to identify well-documented individual case reports and highlight systematic data quality issues, Drug Saf, 37, 65, 10.1007/s40264-013-0131-x
Pew Research Center, 2013
Golder, 2015, Systematic review on the prevalence, frequency and comparative value of adverse events data in social media, Br J Clin Pharmacol, 80, 878, 10.1111/bcp.12746
Sadah, 2015, A study of the demographics of web-based health-related social media users, J Med Internet Res, 17, e194, 10.2196/jmir.4308
Caster, 2018, Assessment of the utility of social media for broad-ranging statistical signal detection in pharmacovigilance: results from the WEB-RADR project, Drug Saf, 41, 1355, 10.1007/s40264-018-0699-2
Karapetiantz, 2018, Signal detection for baclofen in web forums: a preliminary study, Stud Health Technol Inform, 247, 421
Ahmed, 2018, Class-imbalanced subsampling lasso algorithm for discovering adverse drug reactions, Stat Methods Med Res, 27, 785, 10.1177/0962280216643116
Bousquet, 2018, Comment on “Assessment of the Utility of Social Media for Broad-Ranging Statistical Signal Detection in Pharmacovigilance: Results from the WEB-RADR Project”, Drug Saf, 41, 1371, 10.1007/s40264-018-0747-y
Abdellaoui, 2018, Detection of cases of noncompliance to drug treatment in patient forum posts: topic model approach, J Med Internet Res, 20, e85, 10.2196/jmir.9222
Sarker, 2015, Utilizing social media data for pharmacovigilance: a review, J Biomed Inform, 54, 202, 10.1016/j.jbi.2015.02.004