Evidence map›Paper›PMID 30547670›Full record

ArticleDiabetes technology & therapeutics2019

Design and Clinical Evaluation of the Interoperable Artificial Pancreas System (iAPS) Smartphone App: Interoperable Components with Modular Design for Progressive Artificial Pancreas Research and Development.

Sunil Deshpande, Jordan E Pinsker, Stamatina Zavitsanou, Dawei Shi, Randy Tompot, Mei Mei Church, Camille Andre, Francis J Doyle, Eyal Dassau

Open access · bronzeAbstract 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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
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  5. Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025
    Review
  6. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    Review
  7. Article
  8. Review
  9. Glucose Rate-of-Change and Insulin-on-Board Jointly Weighted Zone Model Predictive Control.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2023
    Article
  10. Article
  11. Review
  12. Article
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  15. Article
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  19. Article
  20. Automated Insulin Delivery: Easy Enough to Use in Primary Care?Clinical diabetes : a publication of the American Diabetes Association · 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

9 authors at 4 institutions in 2 countries.

Sunil Deshpande1 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Jordan E Pinsker2 Sansum Diabetes Research Institute, Santa Barbara, California.
Stamatina Zavitsanou1 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Dawei Shi1 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Randy Tompot3 Labrasoft LLC, Leander, Texas.
Mei Mei Church2 Sansum Diabetes Research Institute, Santa Barbara, California.
Camille Andre2 Sansum Diabetes Research Institute, Santa Barbara, California.
Francis J Doyle1 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Eyal Dassau1 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Harvard University · USSansum Diabetes Research Institute · USINTRASOFT International (Luxembourg) · LUJoslin Diabetes Center · US

Funding

On-body ecosystem for automated insulin delivery in type 1 diabetesDP3DK113511 · NIDDK · YALE UNIVERSITY · PI DASSAU, EYAL, LAFFEL, LORI M · 2017 to 2017
$3.0M
Pediatric Artificial Pancreas System for Enhanced Diabetes Management in Young Children with Type 1 DiabetesDP3DK104057 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI DASSAU, EYAL, DOYLE, FRANCIS J · 2014 to 2014
$1.8M
Closed-Loop Glucagon Pump for Treatment of Post-Bariatric HypoglycemiaR44DK107114 · NIDDK · XERIS PHARMACEUTICALS, INC. · PI DASSAU, EYAL, PATTI, MARY E · 2015 to 2017
$1.8M
NIDDK NIH HHS DP3 DK104057NIDDK NIH HHS DP3 DK113511NIDDK NIH HHS R44 DK107114
6 · The paper itself

Abstract

backgroundThere is an unmet need for a modular artificial pancreas (AP) system for clinical trials within the existing regulatory framework to further AP research projects from both academia and industry. We designed, developed, and tested the interoperable artificial pancreas system (iAPS) smartphone app that can interface wirelessly with leading continuous glucose monitors (CGM), insulin pump devices, and decision-making algorithms while running on an unlocked smartphone.

methodsAfter algorithm verification, hazard and mitigation analysis, and complete system verification of iAPS, six adults with type 1 diabetes completed 1 week of sensor-augmented pump (SAP) use followed by 48 h of AP use with the iAPS, a Dexcom G5 CGM, and either a Tandem or Insulet insulin pump in an investigational device exemption study. The AP system was challenged by participants performing extensive walking without exercise announcement to the controller, multiple large meals eaten out at restaurants, two overnight periods, and multiple intentional connectivity interruptions.

resultsEven with these intentional challenges, comparison of the SAP phase with the AP study showed a trend toward improved time in target glucose range 70-180 mg/dL (78.8% vs. 83.1%; P = 0.31), and a statistically significant reduction in time below 70 mg/dL (6.1% vs. 2.2%; P = 0.03). The iAPS system performed reliably and showed robust connectivity with the peripheral devices (99.8% time connected to CGM and 94.3% time in closed loop) while requiring limited user intervention.

conclusionsThe iAPS system was safe and effective in regulating glucose levels under challenging conditions and is suitable for use in unconstrained environments.

Indexed as

Insulin Infusion SystemsMobile ApplicationsPancreas, ArtificialAdultAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FemaleHumansHypoglycemic AgentsInsulinMaleResearchSmartphoneTreatment OutcomeBlood GlucoseHypoglycemic AgentsInsulinArtificial pancreasmHealth.Mobile appsType 1 diabetes

Identifiers

PMID30547670
PMCPMC6350072
OpenAlexW2904790583

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.