Literature DB >> 449002

An algorithm for the operational assessment of adverse drug reactions. I. Background, description, and instructions for use.

M S Kramer, J M Leventhal, T A Hutchinson, A R Feinstein.   

Abstract

Despite widespread clinical and epidemiologic attention to adverse drug reactions (ADRs), their clinical identification has been a nonreproducible act of unspecified subjective judgment; adequate operational criteria have not been available for diagnostic decisions about the cause of an observed untoward clinical manifestation. To improve scientific precision in the diagnosis of ADRs, we have developed an algorithm that provides detailed operational criteria for ranking the probability of causation when ADR is suspected between a drug and a clinical manifestation. The algorithm provides a scoring system for six axes of decision strategy: previous general experience with the drug, alternative etiologic candidates, timing of events, drug levels and evidence of overdose, dechallenge, and rechallenge. The sum of the scores is ordinally partitioned to rate the candidate ADR as definite, probable, possible, or unlikely.

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Year:  1979        PMID: 449002

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  94 in total

Review 1.  Assessing medication appropriateness in the elderly: a review of available measures.

Authors:  P S Shelton; M A Fritsch; M A Scott
Journal:  Drugs Aging       Date:  2000-06       Impact factor: 3.923

2.  Preventable and non-preventable adverse drug events in hospitalized patients: a prospective chart review in the Netherlands.

Authors:  Aileen B Dequito; Peter G M Mol; Jasperien E van Doormaal; Rianne J Zaal; Patricia M L A van den Bemt; Flora M Haaijer-Ruskamp; Jos G W Kosterink
Journal:  Drug Saf       Date:  2011-11-01       Impact factor: 5.606

3.  Recurrence of adverse drug reactions following inappropriate re-prescription: better documentation, availability of information and monitoring are needed.

Authors:  Carolien M J van der Linden; Paul A F Jansen; Rob J van Marum; René J E Grouls; Erik H M Korsten; Antoine C G Egberts
Journal:  Drug Saf       Date:  2010-07-01       Impact factor: 5.606

4.  Development of a combined system for identification and classification of adverse drug reactions: Alerts Based on ADR Causality and Severity (ABACUS).

Authors:  Yvonne Koh; Chun Wei Yap; Shu-Chuen Li
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

5.  Adverse drug reactions caused by drug-drug interactions in elderly outpatients: a prospective cohort study.

Authors:  Paulo Roque Obreli-Neto; Alessandro Nobili; André de Oliveira Baldoni; Camilo Molino Guidoni; Divaldo Pereira de Lyra Júnior; Diogo Pilger; Juliano Duzanski; Mauro Tettamanti; Joice Mara Cruciol-Souza; Walderez Penteado Gaeti; Roberto Kenji Nakamura Cuman
Journal:  Eur J Clin Pharmacol       Date:  2012-05-30       Impact factor: 2.953

6.  Comparison of three pharmacovigilance algorithms in the ICU setting: a retrospective and prospective evaluation of ADRs.

Authors:  Sandra L Kane-Gill; Elizabeth A Forsberg; Margaret M Verrico; Steven M Handler
Journal:  Drug Saf       Date:  2012-08-01       Impact factor: 5.606

Review 7.  Predicting risk of adverse drug reactions in older adults.

Authors:  Amanda Hanora Lavan; Paul Gallagher
Journal:  Ther Adv Drug Saf       Date:  2016-02

Review 8.  Measuring the frequency of adverse drug reactions.

Authors:  P C Waller
Journal:  Br J Clin Pharmacol       Date:  1992-03       Impact factor: 4.335

Review 9.  Clarification of terminology in drug safety.

Authors:  Jeffrey K Aronson; Robin E Ferner
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

10.  A new algorithm to identify the causality of adverse drug reactions.

Authors:  Yvonne Koh; Shu Chuen Li
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

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