Literature DB >> 18446503

Informatic tools and approaches in postmarketing pharmacovigilance used by FDA.

Joyce Weaver1, Mary Willy, Mark Avigan.   

Abstract

The safety profile of newly approved drugs and therapeutic biologics is less well developed by pre-marketing clinical testing than is the efficacy profile. The full safety profile of an approved product is established during years of clinical use. For nearly 40 years, the FDA has relied on the voluntary reporting of adverse events by healthcare practitioners and patients to help establish the safety of marketed products. Epidemiologic studies, including case series, secular trends, case-control and cohort studies, are used to supplement the investigation of a safety signal. Ideally, active surveillance systems would supplement the identification and exploration of safety signals. The FDA has implemented a number of initiatives to help identify safety problems with drugs and continues to evaluate their efforts.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18446503      PMCID: PMC2751449          DOI: 10.1208/s12248-007-9004-5

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  10 in total

Review 1.  Quantitative methods in pharmacovigilance: focus on signal detection.

Authors:  Manfred Hauben; Xiaofeng Zhou
Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

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.  Drug-induced liver injury network (DILIN).

Authors:  Jay H Hoofnagle
Journal:  Hepatology       Date:  2004-10       Impact factor: 17.425

Review 4.  Use of health care databases in pharmacoepidemiology.

Authors:  Sean Hennessy
Journal:  Basic Clin Pharmacol Toxicol       Date:  2006-03       Impact factor: 4.080

5.  Comparison of reporting of Stevens-Johnson syndrome and toxic epidermal necrolysis in association with selective COX-2 inhibitors.

Authors:  Lois La Grenade; Lauren Lee; Joyce Weaver; Renan Bonnel; Claudia Karwoski; Laura Governale; Allen Brinker
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

6.  National surveillance of emergency department visits for outpatient adverse drug events.

Authors:  Daniel S Budnitz; Daniel A Pollock; Kelly N Weidenbach; Aaron B Mendelsohn; Thomas J Schroeder; Joseph L Annest
Journal:  JAMA       Date:  2006-10-18       Impact factor: 56.272

7.  The Salmeterol Multicenter Asthma Research Trial: a comparison of usual pharmacotherapy for asthma or usual pharmacotherapy plus salmeterol.

Authors:  Harold S Nelson; Scott T Weiss; Eugene R Bleecker; Steven W Yancey; Paul M Dorinsky
Journal:  Chest       Date:  2006-01       Impact factor: 9.410

8.  Suicidality in pediatric patients treated with antidepressant drugs.

Authors:  Tarek A Hammad; Thomas Laughren; Judith Racoosin
Journal:  Arch Gen Psychiatry       Date:  2006-03

9.  Spontaneous adverse drug reaction reporting vs event monitoring: a comparison.

Authors:  A P Fletcher
Journal:  J R Soc Med       Date:  1991-06       Impact factor: 18.000

10.  Evaluation of patients treated with natalizumab for progressive multifocal leukoencephalopathy.

Authors:  Tarek A Yousry; Eugene O Major; Caroline Ryschkewitsch; Gary Fahle; Steven Fischer; Jean Hou; Blanche Curfman; Katherine Miszkiel; Nicole Mueller-Lenke; Esther Sanchez; Frederik Barkhof; Ernst-Wilhelm Radue; Hans R Jäger; David B Clifford
Journal:  N Engl J Med       Date:  2006-03-02       Impact factor: 91.245

  10 in total
  12 in total

Review 1.  Nasal septal perforation from bevacizumab: a discussion of outcomes, management, and pharmacovigilance.

Authors:  Judi Anne B Ramiscal; Aminah Jatoi
Journal:  Curr Oncol Rep       Date:  2012-08       Impact factor: 5.075

2.  From Pharmacovigilance to Clinical Care Optimization.

Authors:  Leo Anthony Celi; Edward Moseley; Christopher Moses; Padhraig Ryan; Melek Somai; David Stone; Kai-Ou Tang
Journal:  Big Data       Date:  2014-09-01       Impact factor: 2.128

3.  Profiling cumulative proportional reporting ratios of drug-induced liver injury in the FDA Adverse Event Reporting System (FAERS) database.

Authors:  Allen D Brinker; Jenna Lyndly; Joseph Tonning; David Moeny; Jonathan G Levine; Mark I Avigan
Journal:  Drug Saf       Date:  2013-12       Impact factor: 5.606

Review 4.  Postmarketing surveillance for "modified-risk" tobacco products.

Authors:  Richard J O'Connor
Journal:  Nicotine Tob Res       Date:  2011-01-20       Impact factor: 4.244

5.  Detection of dechallenge in spontaneous reporting systems: a comparison of Bayes methods.

Authors:  A Bazila Banu; S Appavu Alias Balamurugan; Ponniah Thirumalaikolundusubramanian
Journal:  Indian J Pharmacol       Date:  2014 May-Jun       Impact factor: 1.200

6.  Defining 'surveillance' in drug safety.

Authors:  Jeffrey K Aronson; Manfred Hauben; Andrew Bate
Journal:  Drug Saf       Date:  2012-05-01       Impact factor: 5.606

7.  Nutrition therapy cost analysis in the US: pre-mixed multi-chamber bag vs compounded parenteral nutrition.

Authors:  Robin S Turpin; Todd Canada; Frank Xiaoqing Liu; Catherine J Mercaldi; Alessandro Pontes-Arruda; Paul Wischmeyer
Journal:  Appl Health Econ Health Policy       Date:  2011-09-01       Impact factor: 2.561

8.  Detection of pharmacovigilance-related adverse events using electronic health records and automated methods.

Authors:  K Haerian; D Varn; S Vaidya; L Ena; H S Chase; C Friedman
Journal:  Clin Pharmacol Ther       Date:  2012-06-20       Impact factor: 6.875

9.  A secure distributed logistic regression protocol for the detection of rare adverse drug events.

Authors:  Khaled El Emam; Saeed Samet; Luk Arbuckle; Robyn Tamblyn; Craig Earle; Murat Kantarcioglu
Journal:  J Am Med Inform Assoc       Date:  2012-08-07       Impact factor: 4.497

10.  A comparison of active surveillance programs including a spontaneous reporting model for phamacovigilance of adverse drug events in a hospital.

Authors:  Il Seon Yun; Myung Jin Koo; Eun Hye Park; Sung-Eun Kim; Jae-Hyun Lee; Jung-Won Park; Chein-Soo Hong
Journal:  Korean J Intern Med       Date:  2012-11-27       Impact factor: 2.884

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.