Evidence map›Paper›PMID 28584075›Full record

Trial reportDiabetes care2017

Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial.

Gregory P Forlenza, Sunil Deshpande, Trang T Ly, Daniel P Howsmon, Faye Cameron, Nihat Baysal, Eric Mauritzen, Tatiana Marcal, Lindsey Towers, B Wayne Bequette and 7 more

Erratum issuedOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
7.3field-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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Metabolic Models, in Silico Trials, and Algorithms.Diabetes technology & therapeutics · 2025
    Review
  8. Metabolic Models, in Silico Trials, and Algorithms.Journal of diabetes science and technology · 2025
    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. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Embedded Model Predictive Control for a Wearable Artificial Pancreas.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2020
    Article
  16. Monitoring of Pediatric Type 1 Diabetes.Frontiers in endocrinology · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 1 country.

Gregory P ForlenzaBarbara Davis Center, University of Colorado Denver, Denver, CO.ORCID 0000-0003-3607-9788
Sunil DeshpandeHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Trang T LyDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Daniel P HowsmonDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY.
Faye CameronDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY.
Nihat BaysalDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY.
Eric MauritzenDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA.
Tatiana MarcalDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Lindsey TowersBarbara Davis Center, University of Colorado Denver, Denver, CO.
B Wayne BequetteDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY.
Lauren M HuyettWilliam Sansum Diabetes Center, Santa Barbara, CA.
Jordan E PinskerWilliam Sansum Diabetes Center, Santa Barbara, CA.
Ravi GondhalekarHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Francis J DoyleHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
David M MaahsBarbara Davis Center, University of Colorado Denver, Denver, CO.
Bruce A BuckinghamDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Eyal DassauHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA dassau@seas.harvard.edu.
Harvard University · USRensselaer Polytechnic Institute · USStanford University · USUniversity of Colorado Denver · USSansum Diabetes Research Institute · USUniversity of California San Diego · USUniversity of California, Santa Barbara · US

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Ambulatory Artificial Pancreas: merging physiology, behavior, and control designDP3DK094331 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI BASU, ANANDA, DOYLE, FRANCIS J · 2011 to 2014
$4.6M
K12 Career DevelopmentK12DK094712 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI STECK, ANDREA · 2011 to 2021
$4.5M
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
A probabilistic closed-loop artificial pancreas to handle unannounced meals R01DK102188 · NIDDK · RENSSELAER POLYTECHNIC INSTITUTE · PI BEQUETTE, B. WAYNE, BUCKINGHAM, BRUCE A · 2014 to 2016
$1.0M
NCATS NIH HHS UL1 TR001085NIDDK NIH HHS DP3 DK094331NIDDK NIH HHS DP3 DK104057NIDDK NIH HHS K12 DK094712NIDDK NIH HHS R01 DK102188
6 · The paper itself

Abstract

objectiveAs artificial pancreas (AP) becomes standard of care, consideration of extended use of insulin infusion sets (IIS) and continuous glucose monitors (CGMs) becomes vital. We conducted an outpatient randomized crossover study to test the safety and efficacy of a zone model predictive control (zone-MPC)-based AP system versus sensor augmented pump (SAP) therapy in which IIS and CGM failures were provoked via extended wear to 7 and 21 days, respectively. RESEARCH DESIGN AND

methodsA smartphone-based AP system was used by 19 adults (median age 23 years [IQR 10], mean 8.0 ± 1.7% HbA

resultsAP improved percent time 70-140 mg/dL (48.1 vs. 39.2%;

conclusionsZone-MPC significantly and safely improved glycemic control in a home-use environment despite prolonged CGM and IIS wear. This project represents the first home-use AP study attempting to provoke and detect component failure while successfully maintaining safety and effective glucose control.

Indexed as

Pancreas, ArtificialAdolescentAdultBlood GlucoseCross-Over StudiesDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsMaleOutpatientsSmartphoneYoung AdultBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulin

Identifiers

PMID28584075
PMCPMC5521973
OpenAlexW2623842044

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.