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Paediatric pharmacovigilance: use of pharmacovigilance data mining algorithms for signal detection in a safety dataset of a paediatric clinical study conducted in seven african countries | Journal Article / Research | MSF Science Portal
Journal Article
|Research

Paediatric pharmacovigilance: use of pharmacovigilance data mining algorithms for signal detection in a safety dataset of a paediatric clinical study conducted in seven african countries

Kajungu DK, Erhart A, Talisuna AO, Bassat Q, Karema C, Nabasumba C, Nambozi M, Tinto H, Kremsner PG, Meremikwu M, D'Alessandro U, Speybroeck N
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Abstract
Pharmacovigilance programmes monitor and help ensuring the safe use of medicines which is critical to the success of public health programmes. The commonest method used for discovering previously unknown safety risks is spontaneous notifications. In this study we examine the use of data mining algorithms to identify signals from adverse events reported in a phase IIIb/IV clinical trial evaluating the efficacy and safety of several Artemisinin-based combination therapies (ACTs) for treatment of uncomplicated malaria in African children.

Countries

Burkina Faso Gabon Mozambique Nigeria Rwanda Uganda Zambia

Subject Area

pediatricsmalariafilovirus

Languages

English
DOI
10.1371/journal.pone.0096388
Published Date
01 May 2014
PubMed ID
24787710
Journal
PLOS One
Volume | Issue | Pages
Volume 9, Issue 5
Issue Date
2014-05-01
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