Pharmacological prioritisation of signals of disproportionate reporting: proposal of an algorithm and pilot evaluation | Zendy

Francesco Salvo | Zendy; Emanuel Raschi | Zendy; Ugo Moretti | Zendy; Anita Chiarolanza | Zendy; Annie FourrierRéglat | Zendy; Nicholas Moore | Zendy; Miriam Sturkemboom | Zendy; Fabrizio De Ponti | Zendy; Elisabetta Poluzzi | Zendy; Alexandre Pariente | Zendy

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Pharmacological prioritisation of signals of disproportionate reporting: proposal of an algorithm and pilot evaluation

Author(s) -

Francesco Salvo,

Emanuel Raschi,

Ugo Moretti,

Anita Chiarolanza,

Annie FourrierRéglat,

Nicholas Moore,

Miriam Sturkemboom,

Fabrizio De Ponti,

Elisabetta Poluzzi,

Alexandre Pariente

Publication year - 2014

Publication title -

european journal of clinical pharmacology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.845

H-Index - 108

eISSN - 1432-1041

pISSN - 0031-6970

DOI - 10.1007/s00228-014-1657-2

Subject(s) - pharmacovigilance , medicine , confidence interval , odds ratio , drug class , concomitant , drug , pharmacology

Data mining in spontaneous reporting databases generates large numbers of signals of disproportionate reporting (SDRs) that need to be prioritised for assessment. The pharmacological relevance of drug-event associations is not considered in SDR prioritisation algorithms. This aimed to propose and test a pharmacological score for SDR prioritisation.

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