Evidence map›Paper›PMID 36094070›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

The US Food and Drug Administration Sentinel System: a national resource for a learning health system.

Jeffrey S Brown, Aaron B Mendelsohn, Young Hee Nam, Judith C Maro, Noelle M Cocoros, Carla Rodriguez-Watson, Catherine M Lockhart, Richard Platt, Robert Ball, Gerald J Dal Pan and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Generative Transformers for Pharmacovigilance Signal Detection using Electronic Health Records.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  9. Review
  10. Article
  11. Review
  12. A Review of the Importance and Relevance of Real-World Data and Real-World Evidence.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. US public health surveillance, reimagined.Learning health systems · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Jeffrey S BrownDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-9340-7189
Aaron B MendelsohnDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.
Young Hee NamDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.
Judith C MaroDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-9900-2142
Noelle M CocorosDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.
Carla Rodriguez-WatsonReagan-Udall Foundation for the Food and Drug Administration, Washington, District of Columbia, USA.
Catherine M LockhartBiologics and Biosimilars Collective Intelligence Consortium, Alexandria, Virginia, USA.
Richard PlattDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.
Robert BallOffice of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA.ORCID 0000-0002-1609-7420
Gerald J Dal PanOffice of Surveillance and Epidemiology, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA.
Sengwee TohDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.
Harvard University · USCenter for Drug Evaluation and Research · USReagan-Udall Foundation · US

Funding

HHS 75F40119F19001U.S. Food and Drug Administration (FDA) through the Department of Health and Human Services (HHS) 75F40119F19001
6 · The paper itself

Abstract

The US Food and Drug Administration (FDA) created the Sentinel System in response to a requirement in the FDA Amendments Act of 2007 that the agency establish a system for monitoring risks associated with drug and biologic products using data from disparate sources. The Sentinel System has completed hundreds of analyses, including many that have directly informed regulatory decisions. The Sentinel System also was designed to support a national infrastructure for a learning health system. Sentinel governance and guiding principles were designed to facilitate Sentinel's role as a national resource. The Sentinel System infrastructure now supports multiple non-FDA projects for stakeholders ranging from regulated industry to other federal agencies, international regulators, and academics. The Sentinel System is a working example of a learning health system that is expanding with the potential to create a global learning health system that can support medical product safety assessments and other research.

Indexed as

Learning Health SystemPharmaceutical PreparationsUnited StatesUnited States Food and Drug AdministrationPharmaceutical Preparationslearning health systemreal-world datareal-world evidenceSentinel

Identifiers

PMID36094070
PMCPMC9667154
OpenAlexW4295242742

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.