The DOI matches its Crossref record.
The role of databases in drug postmarketing surveillance
Open accessAbstract
This paper describes the role of databases used for postmarketing surveillance of drugs at the United States Food and Drug Administration (FDA). First we describe the Adverse Event Reporting System (AERS), the largest database of adverse event reports in the world. Next, we explain the methods we have used for assembling these adverse event reports into a case series and analysing them, as well as techniques for employing drug use databases to construct reporting rates in the evaluation of drug safety issues. Finally, we discuss the FDA's use of the databases it accesses through its Cooperative Agreement Program to conduct high priority studies to support regulatory decision‐making. Published in 2001 by John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Data Mining of the Public Version of the FDA Adverse Event Reporting System
Sakaeda, T., Tamon, A., Kadoyama, K., & Okuno, Y. (2013) · International Journal of Medical Sciences · doi:10.7150/ijms.6048 · Cited by 1,048
Quantitative signal detection using spontaneous ADR reporting
Bate, A., & Evans, S. J. W. (2009) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.1742 · Cited by 912
Serious Adverse Drug Events Reported to the Food and Drug Administration, 1998-2005
Moore, T. J. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.16.1752 · Cited by 462
Statin safety: an appraisal from the adverse event reporting system
Davidson, M. H., Clark, J. A., Glass, L. M., & Kanumalla, A. (2006) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2005.12.008 · Cited by 113
Metadata
- Authors
- Rodriguez, E. M., Staffa, J. A., & Graham, D. J.
- Venue
- Pharmacoepidemiology and Drug Safety
- Publisher
- Wiley
- Published
- 2001-08
- Volume
- 10
- Issue
- 5
- Pages
- 407-410
- ISSN
- 1053-8569 (ISSN-L)
- 1099-1557
- OpenAlex
- W2068871297
- Cited by
- 165
- References
- 0
- FWCI
- 2.82
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The role of databases in drug postmarketing surveillance. https://app.cochat.ai/papers/10.1002/pds.615
- The paper
- Rodriguez, E. M., Staffa, J. A., & Graham, D. J. (2001). The role of databases in drug postmarketing surveillance. Pharmacoepidemiology and Drug Safety. https://doi.org/10.1002/pds.615
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.