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Adverse Event Detection in Drug Development

Recommendations and Obligations Beyond Phase 3

Bibliographic Data

ID11028581
AuthorsJesse A Berlin (0000-0002-9810-745X, Jesse A. Berlin and Susan C. Glasser are with Johnson & Johnson Pharmaceutical Research & Development, LLC, Raritan, NJ. Susan S. Ellenberg is with the University of Pennsylvania School of Medicine Center for Clinical Epidemiology and Biostatistics, Philadelphia, PA.), Susan Glasser (Johnson & Johnson (United States)), Susan C Glasser (Jesse A. Berlin and Susan C. Glasser are with Johnson & Johnson Pharmaceutical Research & Development, LLC, Raritan, NJ. Susan S. Ellenberg is with the University of Pennsylvania School of Medicine Center for Clinical Epidemiology and Biostatistics, Philadelphia, PA.), Susan S Ellenberg (0000-0002-2364-5253, Jesse A. Berlin and Susan C. Glasser are with Johnson & Johnson Pharmaceutical Research & Development, LLC, Raritan, NJ. Susan S. Ellenberg is with the University of Pennsylvania School of Medicine Center for Clinical Epidemiology and Biostatistics, Philadelphia, PA.)
Year2008
Volume98
Issue8
Pages1366-1371
Publication date2008-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2007.124537
PMID18556607
PMCIDPMC2446471
OpenAlexW2098418526
LanguageNL
Citations received1
References cited24

Premarketing studies of drugs, although large enough to demonstrate efficacy and detect common adverse events, cannot reliably detect an increased incidence of rare adverse events or events with significant latency. For most drugs, only about 500 to 3000 participants are studied, for relatively short durations, before a drug is marketed. Systems for assessment of postmarketing adverse events include spontaneous reports, computerized claims or medical record databases, and formal postmarketing studies. We briefly review the strengths and limitations of each. Postmarketing surveillance is essential for developing a full understanding of the balance between benefits and adverse effects. More work is needed in analysis of data from spontaneous reports of adverse effects and automated databases, design of ad hoc studies, and design of economically feasible large randomized studies

Adverse effect · Drug · Intensive care medicine · Pharmacovigilance · Postmarketing surveillance · Biosimilars and Bioanalytical Methods · Computational Drug Discovery Methods · Medicine · Pharmaceutical Economics and Policy · Pharmacology

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Unique citing works1
Citations per year0,17
Citation span2020 - 2020 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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