Literature DB >> 23689213

Advancing the science of pharmacovigilance.

P K Honig1.   

Abstract

The importance of detecting postmarketing safety signals earlier and with a high degree of fidelity is increasingly important and of great interest to industry, regulators, and the public. This issue of Clinical Pharmacology & Therapeutics contains two companion articles that represent exciting new advances in the field of pharmacovigilance and postmarketing safety signal detection. Given that drug safety evaluation and pharmacovigilance science are core competencies in the discipline of clinical pharmacology, these articles should be of interest to clinical pharmacologists as well as drug safety professionals.

Mesh：

Year:  2013        PMID： 23689213     DOI： 10.1038/clpt.2013.60

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN： 0009-9236            Impact factor:   6.875


  9 in total

1.  Text mining for adverse drug events: the promise, challenges, and state of the art.

Authors:  Rave Harpaz; Alison Callahan; Suzanne Tamang; Yen Low; David Odgers; Sam Finlayson; Kenneth Jung; Paea LePendu; Nigam H Shah
Journal:  Drug Saf       Date:  2014-10       Impact factor: 5.606

2.  Analyzing search behavior of healthcare professionals for drug safety surveillance.

Authors:  David J Odgers; Rave Harpaz; Alison Callahan; Gregor Stiglic; Nigam H Shah
Journal:  Pac Symp Biocomput       Date:  2015

3.  Proton Pump Inhibitor Usage and the Risk of Myocardial Infarction in the General Population.

Authors:  Nigam H Shah; Paea LePendu; Anna Bauer-Mehren; Yohannes T Ghebremariam; Srinivasan V Iyer; Jake Marcus; Kevin T Nead; John P Cooke; Nicholas J Leeper
Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

4.  A time-indexed reference standard of adverse drug reactions.

Authors:  Rave Harpaz; David Odgers; Greg Gaskin; William DuMouchel; Rainer Winnenburg; Olivier Bodenreider; Anna Ripple; Ana Szarfman; Alfred Sorbello; Eric Horvitz; Ryen W White; Nigam H Shah
Journal:  Sci Data       Date:  2014-11-11       Impact factor: 6.444

5.  Similarity-based modeling applied to signal detection in pharmacovigilance.

Authors:  S Vilar; P B Ryan; D Madigan; P E Stang; M J Schuemie; C Friedman; N P Tatonetti; G Hripcsak
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-09-24

6.  Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric Hospital.

Authors:  Huaxiu Tang; Imre Solti; Eric Kirkendall; Haijun Zhai; Todd Lingren; Jaroslaw Meller; Yizhao Ni
Journal:  Biomed Inform Insights       Date:  2017-06-08

7.  Identifying Herbal Adverse Events From Spontaneous Reporting Systems Using Taxonomic Name Resolution Approach.

Authors:  Vivekanand Sharma; Luiz Fernando Fracassi Gelin; Indra Neil Sarkar
Journal:  Bioinform Biol Insights       Date:  2020-06-15

8.  A curated and standardized adverse drug event resource to accelerate drug safety research.

Authors:  Juan M Banda; Lee Evans; Rami S Vanguri; Nicholas P Tatonetti; Patrick B Ryan; Nigam H Shah
Journal:  Sci Data       Date:  2016-05-10       Impact factor: 6.444

9.  Systemic quinolones and risk of acute liver failure I: Analysis of data from the US FDA adverse event reporting system.

Authors:  Mohamed Kadry Taher; Abdallah Alami; Christopher A Gravel; Derek Tsui; Lise M Bjerre; Franco Momoli; Donald R Mattison; Daniel Krewski
Journal:  JGH Open       Date:  2021-06-04
  9 in total

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