Evidence mapPaperPMID 35669307Full record

ArticleClinical diabetes : a publication of the American Diabetes Association2022

Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes.

Cari Berget, Jennifer L Sherr, Daniel J DeSalvo, Ryan S Kingman, Sheri L Stone, Sue A Brown, Alex Nguyen, Leslie Barrett, Trang T Ly, Gregory P Forlenza

Open access · bronzeAbstract read
In one paragraph

Article in Clinical diabetes : a publication of the American Diabetes Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Guideline
  2. Real-World Evidence of Automated Insulin Delivery System Use.Diabetes technology & therapeutics · 2024
    Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Safe and Effective Use of U-200 Insulin With Automated Insulin Delivery Systems.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Article
  9. Assessing the iLet Bionic Pancreas Deployed in Primary Care and via Telehealth: A Randomized Clinical Trial.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Increasing Use of Diabetes Devices: What Do Health Care Professionals Need?Clinical diabetes : a publication of the American Diabetes Association · 2023
    Article
  15. Article
  16. 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

10 authors at 7 institutions in 1 country.

Cari BergetBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO.ORCID https://orcid.org/0000-0003-3355-9700
Jennifer L SherrSection of Pediatric Endocrinology, Yale School of Medicine, New Haven, CT.ORCID https://orcid.org/0000-0001-9301-3043
Daniel J DeSalvoSection of Pediatric Diabetes and Endocrinology, Baylor College of Medicine, Houston, TX.ORCID https://orcid.org/0000-0002-0440-3339
Ryan S KingmanDepartment of Pediatric Endocrinology, Stanford School of Medicine, Palo Alto, CA.
Sheri L StoneUpstate Medical University, Syracuse, NY.
Sue A BrownDivision of Endocrinology, Center for Diabetes Technology, University of Virginia, Charlottesville, VA.
Alex NguyenInsulet Corp., Acton, MA.
Leslie BarrettInsulet Corp., Acton, MA.
Trang T LyInsulet Corp., Acton, MA.ORCID https://orcid.org/0000-0002-5995-1447
Gregory P ForlenzaBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO.ORCID https://orcid.org/0000-0003-3607-9788
Insulet (United States) · USUniversity of Colorado Anschutz Medical Campus · USBaylor College of Medicine · USStanford Medicine · USSUNY Upstate Medical University · USUniversity of Virginia · USYale University · US

Funding

Yale Diabetes Research CenterP30DK045735 · YALE UNIVERSITY · 1993 to 2025
$10.2M
NIDDK NIH HHS P30 DK045735
6 · The paper itself

Abstract

Automated insulin delivery (AID) systems, which connect an insulin pump, continuous glucose monitoring system, and software algorithm to automate insulin delivery based on real-time glycemic data, hold promise for improving outcomes and reducing therapeutic burden for people with diabetes. This article reviews the features of the Omnipod 5 Automated Insulin Delivery System and how it compares to other AID systems available on or currently under review for the U.S. market. It also provides practical guidance for clinicians on how to effectively train and onboard people with diabetes on the Omnipod 5 System, including how to personalize therapy and optimize glycemia. Many people with diabetes receive their diabetes care in primary care settings rather than in a diabetes specialty clinic. Therefore, it is important that primary care providers have access to resources to support the adoption of AID technologies such as the Omnipod 5 System.

Identifiers

PMID35669307
PMCPMC9160549
OpenAlexW3211154426

What Socratic 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 Socratic graph.