Literature DB >> 16390358

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

Jonathan G Levine, Joseph M Tonning, Ana Szarfman.   

Abstract

Mesh：

Year:  2006        PMID： 16390358      PMCID： PMC1884980          DOI： 10.1111/j.1365-2125.2005.02510.x

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


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  19 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

3.  Trimethoprim-induced hyperkalaemia -- lessons in data mining.

Authors:  Manfred Hauben
Journal:  Br J Clin Pharmacol       Date:  2004-09       Impact factor: 4.335

4.  Potential utility of data-mining algorithms for early detection of potentially fatal/disabling adverse drug reactions: a retrospective evaluation.

Authors:  Manfred Hauben; Lester Reich
Journal:  J Clin Pharmacol       Date:  2005-04       Impact factor: 3.126

5.  Endotoxin-like reactions with intravenous gentamicin: results from pharmacovigilance tools under investigation.

Authors:  Manfred Hauben; Lester Reich
Journal:  Infect Control Hosp Epidemiol       Date:  2005-04       Impact factor: 3.254

Review 6.  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

7.  Valproate-induced parkinsonism: use of a newer pharmacovigilance tool to investigate the reporting of an unanticipated adverse event with an "old" drug.

Authors:  Manfred Hauben; Lester Reich
Journal:  Mov Disord       Date:  2005-03       Impact factor: 10.338

8.  Renal mechanism of trimethoprim-induced hyperkalemia.

Authors:  H Velázquez; M A Perazella; F S Wright; D H Ellison
Journal:  Ann Intern Med       Date:  1993-08-15       Impact factor: 25.391

9.  Safety related drug-labelling changes: findings from two data mining algorithms.

Authors:  Manfred Hauben; Lester Reich
Journal:  Drug Saf       Date:  2004       Impact factor: 5.606

10.  Early postmarketing drug safety surveillance: data mining points to consider.

Authors:  Manfred Hauben
Journal:  Ann Pharmacother       Date:  2004-08-10       Impact factor: 3.154
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  11 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.  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

3.  Stratification for spontaneous report databases.

Authors:  Johan Hopstadius; G Niklas Norén; Andrew Bate; I Ralph Edwards
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

4.  Cardiovascular safety signals with dipeptidyl peptidase-4 inhibitors: A disproportionality analysis among high-risk patients.

Authors:  Sheriza N Baksh; Mara McAdams-DeMarco; Jodi B Segal; G Caleb Alexander
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-04-14       Impact factor: 2.890

5.  Impact of stratification on adverse drug reaction surveillance.

Authors:  Johan Hopstadius; G Niklas Norén; Andrew Bate; I Ralph Edwards
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

6.  Safety surveillance of meningococcal group B vaccine (Bexsero®), Vaccine Adverse Event Reporting System, 2015-2018.

Authors:  Silvia Perez-Vilar; Graça M Dores; Paige L Marquez; Carmen S Ng; Maria V Cano; Anuja Rastogi; Lucia Lee; John R Su; Jonathan Duffy
Journal:  Vaccine       Date:  2021-12-07       Impact factor: 3.641

Review 7.  Analysis of Spontaneous Postmarket Case Reports Submitted to the FDA Regarding Thromboembolic Adverse Events and JAK Inhibitors.

Authors:  Abril Verden; Mo Dimbil; Robert Kyle; Brian Overstreet; Keith B Hoffman
Journal:  Drug Saf       Date:  2018-04       Impact factor: 5.606

8.  Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system.

Authors:  R Harpaz; W DuMouchel; P LePendu; A Bauer-Mehren; P Ryan; N H Shah
Journal:  Clin Pharmacol Ther       Date:  2013-02-11       Impact factor: 6.875

9.  A reference standard for evaluation of methods for drug safety signal detection using electronic healthcare record databases.

Authors:  Preciosa M Coloma; Paul Avillach; Francesco Salvo; Martijn J Schuemie; Carmen Ferrajolo; Antoine Pariente; Annie Fourrier-Réglat; Mariam Molokhia; Vaishali Patadia; Johan van der Lei; Miriam Sturkenboom; Gianluca Trifirò
Journal:  Drug Saf       Date:  2013-01       Impact factor: 5.606

10.  Signal detection to identify serious adverse events (neuropsychiatric events) in travelers taking mefloquine for chemoprophylaxis of malaria.

Authors:  Cho Naing; Kyan Aung; Syed Imran Ahmed; Joon Wah Mak
Journal:  Drug Healthc Patient Saf       Date:  2012-08-03
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