Evidence map›Paper›PMID 30649925›Full record

ArticleDiabetes technology & therapeutics2019

The International Diabetes Closed-Loop Study: Testing Artificial Pancreas Component Interoperability.

Stacey M Anderson, Eyal Dassau, Dan Raghinaru, John Lum, Sue A Brown, Jordan E Pinsker, Mei Mei Church, Carol Levy, David Lam, Yogish C Kudva and 11 more

Abstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    Review
  5. Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review: Glucose-sensitive insulin.Molecular metabolism · 2021
    Review
  12. Digital health and diabetes: experience from India.Therapeutic advances in endocrinology and metabolism · 2021
    Review
  13. 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

21 authors.

Stacey M Anderson1 Center for Diabetes Technology, Department of Medicine, University of Virginia.
Eyal Dassau2 John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Dan Raghinaru5 Jaeb Center for Health Research, Tampa, Florida.
John Lum5 Jaeb Center for Health Research, Tampa, Florida.
Sue A Brown1 Center for Diabetes Technology, Department of Medicine, University of Virginia.
Jordan E Pinsker3 Sansum Diabetes Research Institute, Santa Barbara, California.
Mei Mei Church3 Sansum Diabetes Research Institute, Santa Barbara, California.
Carol Levy6 Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York City, New York.
David Lam6 Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York City, New York.
Yogish C Kudva7 Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Bruce Buckingham8 Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.
Gregory P Forlenza9 Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, Colorado.
R Paul Wadwa9 Barbara Davis Center for Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, Colorado.
Lori Laffel4 Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts.
Francis J Doyle2 John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
J Hans DeVries10 Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Eric Renard11 Department of Endocrinology, Diabetes, Nutrition, Montpellier University Hospital, Montpellier, France.
Claudio Cobelli13 Department of Information Engineering, University of Padova, Padova, Italy.
Federico Boscari14 Department of Medicine, University of Padova, Padova, Italy.
Simone Del Favero13 Department of Information Engineering, University of Padova, Padova, Italy.
Boris P Kovatchev1 Center for Diabetes Technology, Department of Medicine, University of Virginia.

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Clinical Acceptance of the Artificial Pancreas: the International Diabetes Closed Loop (iDCL) TrialUC4DK108483 · NIDDK · UNIVERSITY OF VIRGINIA · PI ANDERSON, STACEY, DOYLE, FRANCIS J · 2016 to 2016
$12.7M
NIDDK NIH HHS P30 DK036836NIDDK NIH HHS UC4 DK108483
6 · The paper itself

Abstract

backgroundUse of artificial pancreas (AP) requires seamless interaction of device components, such as continuous glucose monitor (CGM), insulin pump, and control algorithm. Mobile AP configurations also include a smartphone as computational hub and gateway to cloud applications (e.g., remote monitoring and data review and analysis). This International Diabetes Closed-Loop study was designed to demonstrate and evaluate the operation of the inControl AP using different CGMs and pump modalities without changes to the user interface, user experience, and underlying controller.

methodsForty-three patients with type 1 diabetes (T1D) were enrolled at 10 clinical centers (7 United States, 3 Europe) and 41 were included in the analyses (39% female, >95% non-Hispanic white, median T1D duration 16 years, median HbA1c 7.4%). Two CGMs and two insulin pumps were tested by different study participants/sites using the same system hub (a smartphone) during 2 weeks of in-home use.

resultsThe major difference between the system components was the stability of their wireless connections with the smartphone. The two sensors achieved similar rates of connectivity as measured by percentage time in closed loop (75% and 75%); however, the two pumps had markedly different closed-loop adherence (66% vs. 87%). When connected, all system configurations achieved similar glycemic outcomes on AP control (73% [mean] time in range: 70-180 mg/dL, and 1.7% [median] time <70 mg/dL).

conclusionsCGMs and insulin pumps can be interchangeable in the same Mobile AP system, as long as these devices achieve certain levels of reliability and wireless connection stability.

Indexed as

Insulin Infusion SystemsPancreas, ArtificialAdolescentAdultAgedAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FemaleHumansHypoglycemic AgentsInsulinMaleMiddle AgedReproducibility of ResultsBlood GlucoseHypoglycemic AgentsInsulinContinuous glucose monitor useInsulin pump useInternational Diabetes Closed-Loop Study

Identifiers

PMID30649925
PMCPMC6354594

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.