Evidence map›Paper›PMID 33797815›Full record

ReviewPharmacoepidemiology and drug safety2021

A COVID-19-ready public health surveillance system: The Food and Drug Administration's Sentinel System.

Noelle M Cocoros, Candace C Fuller, Sruthi Adimadhyam, Robert Ball, Jeffrey S Brown, Gerald J Dal Pan, Sheryl A Kluberg, Vincent Lo Re, Judith C Maro, Michael Nguyen and 10 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Pharmacoepidemiology and drug safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Adverse outcomes among pregnant women with COVID-19 according to hospitalization status: A prospective individual participant data meta-analysis in Europe and North America.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Mobile Health Study Incorporating Novel Fitness Test.Journal of cardiovascular translational research · 2023
    Article
  8. Coronavirus Disease 2019 Severity and Risk of Subsequent Cardiovascular Events.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. The US Food and Drug Administration Sentinel System: a national resource for a learning health system.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  13. Article
  14. Observational
  15. Categorization of COVID-19 severity to determine mortality risk.Pharmacoepidemiology and drug safety · 2022
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review
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

20 authors at 4 institutions in 1 country.

Noelle M CocorosDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-7090-2761
Candace C FullerDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Sruthi AdimadhyamDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Robert BallUS Food and Drug Administration, Silver Spring, Maryland, USA.ORCID https://orcid.org/0000-0002-1609-7420
Jeffrey S BrownDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Gerald J Dal PanUS Food and Drug Administration, Silver Spring, Maryland, USA.
Sheryl A KlubergDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Vincent Lo ReDivision of Infectious Diseases, Department of Medicine, and Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7955-0600
Judith C MaroDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Michael NguyenUS Food and Drug Administration, Silver Spring, Maryland, USA.
Robert OrrUS Food and Drug Administration, Silver Spring, Maryland, USA.
Dianne ParaoanUS Food and Drug Administration, Silver Spring, Maryland, USA.
Jonathan PerlinHCA Healthcare, Nashville, Tennessee, USA.
Russell E PolandDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Meighan Rogers DriscollDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Kenneth SandsDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Sengwee TohDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-5160-0810
W Katherine YihDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Richard PlattDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
And the FDA-Sentinel COVID-19 Working Group
Harvard University · USUnited States Food and Drug Administration · USHCA Healthcare · USUniversity of Pennsylvania · US

Funding

HCA HealthcareUS Food and Drug Administration (Department of Health and Human Services Contract Number 75F40119D10037)
6 · The paper itself

Abstract

The US Food and Drug Administration's Sentinel System was established in 2009 to use routinely collected electronic health data for improving the national capability to assess post-market medical product safety. Over more than a decade, Sentinel has become an integral part of FDA's surveillance capabilities and has been used to conduct analyses that have contributed to regulatory decisions. FDA's role in the COVID-19 pandemic response has necessitated an expansion and enhancement of Sentinel. Here we describe how the Sentinel System has supported FDA's response to the COVID-19 pandemic. We highlight new capabilities developed, key data generated to date, and lessons learned, particularly with respect to working with inpatient electronic health record data. Early in the pandemic, Sentinel developed a multi-pronged approach to support FDA's anticipated data and analytic needs. It incorporated new data sources, created a rapidly refreshed database, developed protocols to assess the natural history of COVID-19, validated a diagnosis-code based algorithm for identifying patients with COVID-19 in administrative claims data, and coordinated with other national and international initiatives. Sentinel is poised to answer important questions about the natural history of COVID-19 and is positioned to use this information to study the use, safety, and potentially the effectiveness of medical products used for COVID-19 prevention and treatment.

Indexed as

Antiviral AgentsCommunicable Disease ControlCOVID-19COVID-19 VaccinesDatabases, FactualElectronic Health RecordsHealth Information ManagementHealth PolicyHumansPandemicsProduct Surveillance, PostmarketingPublic Health SurveillanceUnited StatesUnited States Food and Drug AdministrationAntiviral AgentsCOVID-19 VaccinesCOVID-19electronic health recordsmedical claimsreal-time monitoringreal-world datasurveillance

Identifiers

PMID33797815
PMCPMC8250843
OpenAlexW3149969747

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.