M
Marie-Laure Kürzinger
Publications - 6
Citations - 113
Marie-Laure Kürzinger is an academic researcher. The author has contributed to research in topics: Odds ratio & Web search query. The author has an hindex of 4, co-authored 6 publications receiving 77 citations.
Papers
More filters
Journal ArticleDOI
Assessment of the Utility of Social Media for Broad-Ranging Statistical Signal Detection in Pharmacovigilance: Results from the WEB-RADR Project
Ola Caster,Juergen Dietrich,Marie-Laure Kürzinger,Magnus Lerch,Simon Maskell,G. Niklas Norén,Stephanie Tcherny-Lessenot,Benoit Vroman,Antoni Wisniewski,John van Stekelenborg +9 more
TL;DR: The results clearly suggest that broad-ranging statistical signal detection in Twitter and Facebook, using currently available methods for adverse event recognition, performs poorly and cannot be recommended at the expense of other pharmacovigilance activities.
Journal ArticleDOI
Intranasal triamcinolone use during pregnancy and the risk of adverse pregnancy outcomes
TL;DR: Maternal exposure to intranasal triamcinolone during pregnancy was not associated with the risk of SGA/spontaneous abortions/overall malformations, however, it has been shown to increase therisk of respiratory system defects.
Journal ArticleDOI
Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis.
Marie-Laure Kürzinger,Stéphane Schück,Nathalie Texier,Redhouane Abdellaoui,Carole Faviez,Julie Pouget,Ling Zhang,Stephanie Tcherny-Lessenot,Stephen Lin,Juhaeri Juhaeri +9 more
TL;DR: The overall performance of SDRs detected from patients’ medical forums in France showed that data from medical forums may be a valuable source for signal detection, and performance against established signals was good.
Journal ArticleDOI
Structured benefit-risk evaluation for medicinal products: review of quantitative benefit-risk assessment findings in the literature.
Marie-Laure Kürzinger,Ludivine Douarin,Ievgeniia Uzun,Chantal El-Haddad,William Hurst,Juhaeri Juhaeri,Stephanie Tcherny-Lessenot +6 more
TL;DR: This article considers published quantitative benefit–risk evaluations which may have informed health care professionals and/ or payor as well as contributed to decision making purposes in the regulatory setting for drug, vaccine and/or device approval.
Journal ArticleDOI
Validation of New Signal Detection Methods for Web Query Log Data Compared to Signal Detection Algorithms Used With FAERS
Susan Colilla,Elad Yom Tov,Ling Zhang,Marie-Laure Kürzinger,Stephanie Tcherny-Lessenot,Catherine Penfornis,Shang Jen,Danny S. Gonzalez,Patrick Caubel,Susan Welsh,Juhaeri Juhaeri +10 more
TL;DR: Two web query methods have moderate sensitivity in detecting signals in web query data compared with reference SDAs in FAERS, but the query metrics generate many false-positives and have low specificity compared withReference signal-detection algorithms commonly used with the FDA AE Reporting System (FAERS) database.