Literature DB >> 15327598

Trimethoprim-induced hyperkalaemia -- lessons in data mining.

Manfred Hauben.   

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Year:  2004        PMID： 15327598      PMCID： PMC1884558          DOI： 10.1111/j.1365-2125.2004.02153.x

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


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  5 in total

1.  Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports.

Authors:  S J Evans; P C Waller; S Davis
Journal:  Pharmacoepidemiol Drug Saf       Date:  2001 Oct-Nov       Impact factor: 2.890

2.  Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database.

Authors:  Ana Szarfman; Stella G Machado; Robert T O'Neill
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

Review 3.  A brief primer on automated signal detection.

Authors:  Manfred Hauben
Journal:  Ann Pharmacother       Date:  2003 Jul-Aug       Impact factor: 3.154

Review 4.  Drug-induced hyperkalemia: old culprits and new offenders.

Authors:  M A Perazella
Journal:  Am J Med       Date:  2000-09       Impact factor: 4.965

5.  A Bayesian neural network method for adverse drug reaction signal generation.

Authors:  A Bate; M Lindquist; I R Edwards; S Olsson; R Orre; A Lansner; R M De Freitas
Journal:  Eur J Clin Pharmacol       Date:  1998-06       Impact factor: 2.953
  5 in total
  6 in total

Review 1.  Perspectives on the use of data mining in pharmaco-vigilance.

Authors:  June Almenoff; Joseph M Tonning; A Lawrence Gould; Ana Szarfman; Manfred Hauben; Rita Ouellet-Hellstrom; Robert Ball; Ken Hornbuckle; Louisa Walsh; Chuen Yee; Susan T Sacks; Nancy Yuen; Vaishali Patadia; Michael Blum; Mike Johnston; Charles Gerrits; Harry Seifert; Karol Lacroix
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

2.  Reply: The evaluation of data mining methods for the simultaneous and systematic detection of safety signals in large databases: lessons to be learned.

Authors:  Jonathan G Levine; Joseph M Tonning; Ana Szarfman
Journal:  Br J Clin Pharmacol       Date:  2006-01       Impact factor: 4.335

3.  Potential use of data-mining algorithms for the detection of 'surprise' adverse drug reactions.

Authors:  Manfred Hauben; Sebastian Horn; Lester Reich
Journal:  Drug Saf       Date:  2007       Impact factor: 5.606

4.  Comparative performance of two quantitative safety signalling methods: implications for use in a pharmacovigilance department.

Authors:  June S Almenoff; Karol K LaCroix; Nancy A Yuen; David Fram; William DuMouchel
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

5.  Gold standards in pharmacovigilance: the use of definitive anecdotal reports of adverse drug reactions as pure gold and high-grade ore.

Authors:  Manfred Hauben; Jeffrey K Aronson
Journal:  Drug Saf       Date:  2007       Impact factor: 5.606

6.  An evaluation of three signal-detection algorithms using a highly inclusive reference event database.

Authors:  Alan M Hochberg; Manfred Hauben; Ronald K Pearson; Donald J O'Hara; Stephanie J Reisinger; David I Goldsmith; A Lawrence Gould; David Madigan
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606
  6 in total

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