Evidence map›Paper›PMID 29431513›Full record

ArticleDiabetes technology & therapeutics2018

Safety and Feasibility of the OmniPod Hybrid Closed-Loop System in Adult, Adolescent, and Pediatric Patients with Type 1 Diabetes Using a Personalized Model Predictive Control Algorithm.

Bruce A Buckingham, Gregory P Forlenza, Jordan E Pinsker, Mark P Christiansen, R Paul Wadwa, Jennifer Schneider, Thomas A Peyser, Eyal Dassau, Joon Bok Lee, Jason O'Connor and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
8.5field-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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    Review
  9. Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Review of the OmnipodTherapeutic delivery · 2020
    Review
  19. Review
  20. Concept and Implementation of a Novel Patch Pump for Insulin Delivery.Journal of diabetes science and technology · 2020
    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

12 authors at 4 institutions in 1 country.

Bruce A Buckingham1 Division of Endocrinology, Department of Pediatrics, Stanford School of Medicine , Stanford, Palo Alto, California.
Gregory P Forlenza2 Barbara Davis Center for Diabetes, University of Colorado School of Medicine , Aurora, Colorado.
Jordan E Pinsker3 Sansum Diabetes Research Institute , Santa Barbara, California.
Mark P Christiansen4 Diablo Clinical Research , Walnut Creek, California.
R Paul Wadwa2 Barbara Davis Center for Diabetes, University of Colorado School of Medicine , Aurora, Colorado.
Jennifer Schneider5 ModeAGC LLC , Palo Alto, California.
Thomas A Peyser5 ModeAGC LLC , Palo Alto, California.
Eyal Dassau6 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University , Cambridge, Massachusetts.
Joon Bok Lee7 Insulet Corporation , Billerica, Massachusetts.
Jason O'Connor7 Insulet Corporation , Billerica, Massachusetts.
Jennifer E Layne7 Insulet Corporation , Billerica, Massachusetts.
Trang T Ly7 Insulet Corporation , Billerica, Massachusetts.
University of Colorado Denver · USDiablo Clinical Research · USHarvard University · USSansum Diabetes Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe safety and feasibility of the OmniPod personalized model predictive control (MPC) algorithm in adult, adolescent, and pediatric patients with type 1 diabetes were investigated.

methodsThis multicenter, observational trial included a 1-week outpatient sensor-augmented pump open-loop phase and a 36-h inpatient hybrid closed-loop (HCL) phase with announced meals ranging from 30 to 90 g of carbohydrates and limited physical activity. Patients aged 6-65 years with HbA1c between 6.0% and 10.0% were eligible. The investigational system included a modified version of OmniPod, the Dexcom G4 505 Share

resultsThe percentage of time <70 mg/dL during the 36-h HCL phase was mean (standard deviation): 0.7 (1.7) in adults receiving 80% meal bolus (n = 24), and 0.7 (1.2) in adults (n = 10), 2.0 (2.4) in adolescents (n = 12), and 2.0 (2.6) in pediatrics (n = 12) receiving 100% meal bolus. The overall hypoglycemia rate was 0.49 events/24 h. The percentage of time >250 mg/dL was 8.0 (7.5), 3.6 (3.7), 4.9 (6.3), and 6.7 (5.6) in the study groups, respectively. Percentage of time in the target range of 70-180 mg/dL was 69.5 (14.4), 73.0 (15.0), 72.6 (15.5), and 70.1 (12.3), respectively.

conclusionsThe OmniPod personalized MPC algorithm performed well and was safe during day and night use in adult, adolescent, and pediatric patients with type 1 diabetes. Longer term studies will assess the safety and performance of the algorithm under free living conditions with extended use.

Indexed as

AdolescentAdultAgedAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1Feasibility StudiesFemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsMaleBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinArtificial pancreasAutomated insulin deliveryClosed loopHybrid closed loopOmniPodTubeless insulin pump

Identifiers

PMID29431513
PMCPMC5910038
OpenAlexW2786963919

What OpenQuestion holds

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LicenceCC BY-NC
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.