Literature DB >> 6834622

Discovery of adverse drug reactions. A comparison of selected phase IV studies with spontaneous reporting methods.

A C Rossi, D E Knapp, C Anello, R T O'Neill, C F Graham, P S Mendelis, G R Stanley.   

Abstract

Mesh：

Year:  1983        PMID： 6834622     DOI： 10.1001/jama.249.16.2226

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


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  20 in total

1.  Application of quantitative signal detection in the Dutch spontaneous reporting system for adverse drug reactions.

Authors:  Eugène van Puijenbroek; Willem Diemont; Kees van Grootheest
Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

2.  Cost-effective prescribing in elderly people.

Authors:  D J Morgan; C A Sutters; B Livesley
Journal:  Pharmacoeconomics       Date:  1992-06       Impact factor: 4.981

3.  Trends in spontaneous adverse drug reaction reports to the French pharmacovigilance system (1986-2001).

Authors:  Frantz Thiessard; Emmanuel Roux; Ghada Miremont-Salamé; Annie Fourrier-Réglat; Françoise Haramburu; Pascale Tubert-Bitter; Bernard Bégaud
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

4.  Is there still a role for spontaneous reporting of adverse drug reactions?

Authors:  Joel Lexchin
Journal:  CMAJ       Date:  2006-01-17       Impact factor: 8.262

5.  New approaches to postmarketing surveillance.

Authors:  S Fisher; S G Bryant; R M Kluge
Journal:  Psychopharmacology (Berl)       Date:  1986       Impact factor: 4.530

6.  Improving adverse drug reaction monitoring.

Authors:  J McEwen
Journal:  Med Toxicol Adverse Drug Exp       Date:  1987 Nov-Dec

7.  Postmarketing surveillance of adverse drug reactions: problems and solutions.

Authors:  F M Lortie
Journal:  CMAJ       Date:  1986-07-01       Impact factor: 8.262

Review 8.  Techniques of postmarketing surveillance. An overview.

Authors:  J L Carson; B L Strom
Journal:  Med Toxicol       Date:  1986 Jul-Aug

9.  Adverse Drug Reaction Reporting Program of the Ontario Medical Association: the first 3 years.

Authors:  C W Gowdey; M Brennan
Journal:  Can Med Assoc J       Date:  1985-01-01       Impact factor: 8.262

Review 10.  Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).

Authors:  Abhyuday Jagannatha; Feifan Liu; Weisong Liu; Hong Yu
Journal:  Drug Saf       Date:  2019-01       Impact factor: 5.606
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