title: Evidence in pharmacovigilance: extracting adverse drug reactions articles from MEDLINE to link them to case databases.
abstract: Literature, specifically MEDLINE, is among the main sources of information used to detect whether a drug may be responsible for Adverse Drug Reactions cases. The aim of our work is to automate the search of publications that correspond to a given Adverse Drug Reactions case: (i) by defining a general pattern for the queries used to search MEDLINE and (ii) by determining the threshold number of publications capable to confirm or infirm the Adverse Drug Reaction. We applied our algorithm to a set of 620 cases from a French pharmacovigilance database. We obtained a precision of 93%, recall 70%. We determined a threshold of 3 publications to confirm an Adverse Drug Reaction case.
authors.affiliation: EA 3888, Faculté de Médecine, IFR 140, Université de Rennes, France. nicolas.garcelon@univ-rennes1.fr
authors.forename: Nicolas
authors.initials: N
authors.lastname: Garcelon
authors.forename: Fleur
authors.initials: F
authors.lastname: Mougin
authors.forename: Cédric
authors.initials: C
authors.lastname: Bousquet
authors.forename: Anita
authors.initials: A
authors.lastname: Burgun
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems; D000465:Algorithms; D001330:Electronic Data Processing; D019317:Evidence-Based Medicine; D005602:France; D016247:Information Storage and Retrieval; D016239:MEDLINE; D014481:United States