Literature DB >> 17108572

Evidence in pharmacovigilance: extracting adverse drug reactions articles from MEDLINE to link them to case databases.

Nicolas Garcelon1, Fleur Mougin, Cédric Bousquet, Anita Burgun.   

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.

Mesh:

Year:  2006        PMID: 17108572

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU-ADR project.

Authors:  Paul Avillach; Jean-Charles Dufour; Gayo Diallo; Francesco Salvo; Michel Joubert; Frantz Thiessard; Fleur Mougin; Gianluca Trifirò; Annie Fourrier-Réglat; Antoine Pariente; Marius Fieschi
Journal:  J Am Med Inform Assoc       Date:  2012-11-29       Impact factor: 4.497

2.  Impact of literature reports on drug safety signals.

Authors:  Bartlomiej Ochyra; Maciej Szewczyk; Adam Przybylkowski
Journal:  Wien Klin Wochenschr       Date:  2020-05-26       Impact factor: 1.704

  2 in total

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