Literature DB >> 22360319

Adverse drug reactions.

Yoon K Loke1.   

Abstract

Our ability to understand fully the characteristics of clinically important adverse drug reactions is hindered by a lack of emphasis on biological mechanisms, patient susceptibility factors and long-term outcomes. Assessment of drug safety needs to move beyond industry and regulatory perspectives, towards a greater focus on evidence-based preventive and management strategies that will allow patients and physicians to deal with adverse drug reactions at the bedside. This would ideally involve close collaboration between clinical pharmacologists and pharmacoepidemiologists skilled at interrogating the increasingly sophisticated electronic healthcare databases. In light of the myriad safety scares that are constantly emerging, patients and physicians would be best served by a centrally funded independent network of rapid-response drug safety researchers who can use techniques of teleoanalysis to describe fully the magnitude of risk, the potential biological mechanisms and patients' susceptibility factors.
© 2012 The Author. British Journal of Clinical Pharmacology © 2012 The British Pharmacological Society.

Entities:  

Mesh:

Year:  2012        PMID: 22360319      PMCID: PMC3391517          DOI: 10.1111/j.1365-2125.2012.04235.x

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  9 in total

Review 1.  Joining the DoTS: new approach to classifying adverse drug reactions.

Authors:  J K Aronson; R E Ferner
Journal:  BMJ       Date:  2003-11-22

Review 2.  Teleoanalysis: combining data from different types of study.

Authors:  Nicholas J Wald; Joan K Morris
Journal:  BMJ       Date:  2003-09-13

3.  Preventability of drug-related harms - part II: proposed criteria, based on frameworks that classify adverse drug reactions.

Authors:  Jeffrey K Aronson; Robin E Ferner
Journal:  Drug Saf       Date:  2010-11-01       Impact factor: 5.606

Review 4.  A strategy for regulatory action when new adverse effects of a licensed product emerge.

Authors:  Jeffrey K Aronson; Deirdre Price; Robin E Ferner
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

5.  EIDOS: a mechanistic classification of adverse drug effects.

Authors:  Robin E Ferner; Jeffrey K Aronson
Journal:  Drug Saf       Date:  2010-01-01       Impact factor: 5.606

6.  Risk of gastrointestinal haemorrhage with long term use of aspirin: meta-analysis.

Authors:  S Derry; Y K Loke
Journal:  BMJ       Date:  2000-11-11

7.  Quantitative estimation of rare adverse events which follow a biological progression: a new model applied to chronic NSAID use.

Authors:  M R Tramèr; R A Moore; D J Reynolds; H J McQuay
Journal:  Pain       Date:  2000-03       Impact factor: 6.961

8.  Long-term use of thiazolidinediones and fractures in type 2 diabetes: a meta-analysis.

Authors:  Yoon K Loke; Sonal Singh; Curt D Furberg
Journal:  CMAJ       Date:  2008-12-10       Impact factor: 8.262

9.  Thiazolidinediones and heart failure: a teleo-analysis.

Authors:  Sonal Singh; Yoon K Loke; Curt D Furberg
Journal:  Diabetes Care       Date:  2007-05-29       Impact factor: 19.112

  9 in total
  1 in total

1.  Medication monitoring in a nurse-led respiratory outpatient clinic: pragmatic randomised trial of the West Wales Adverse Drug Reaction Profile.

Authors:  Marie E Gabe; Fiona Murphy; Gwyneth A Davies; Ian T Russell; Susan Jordan
Journal:  PLoS One       Date:  2014-05-05       Impact factor: 3.240

  1 in total

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