Evidence map›Paper›PMID 29030383›Full record

Trial reportDiabetes care2017

Twelve-Week 24/7 Ambulatory Artificial Pancreas With Weekly Adaptation of Insulin Delivery Settings: Effect on Hemoglobin A

Eyal Dassau, Jordan E Pinsker, Yogish C Kudva, Sue A Brown, Ravi Gondhalekar, Chiara Dalla Man, Steve Patek, Michele Schiavon, Vikash Dadlani, Isuru Dasanayake and 18 more

Open access · bronzeAbstract readClinical TrialMulticenter Study
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. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
8.1field-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, 86 citations in OpenAlex.

  1. Trial
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  7. Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025
    Review
  8. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    Review
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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

28 authors at 6 institutions in 2 countries.

Eyal DassauHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.ORCID 0000-0001-5333-6892
Jordan E PinskerWilliam Sansum Diabetes Center, Santa Barbara, CA.ORCID 0000-0003-4080-9034
Yogish C KudvaEndocrine Research Unit, Mayo Clinic, Rochester, MN.
Sue A BrownCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Ravi GondhalekarHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Chiara Dalla ManDepartment of Information Engineering, University of Padova, Padova, Italy.
Steve PatekCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Michele SchiavonDepartment of Information Engineering, University of Padova, Padova, Italy.
Vikash DadlaniEndocrine Research Unit, Mayo Clinic, Rochester, MN.
Isuru DasanayakeWilliam Sansum Diabetes Center, Santa Barbara, CA.ORCID 0000-0001-8783-2405
Mei Mei ChurchWilliam Sansum Diabetes Center, Santa Barbara, CA.
Rickey E CarterDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Wendy C BevierWilliam Sansum Diabetes Center, Santa Barbara, CA.
Lauren M HuyettWilliam Sansum Diabetes Center, Santa Barbara, CA.
Jonathan HughesCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Stacey AndersonCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Dayu LvCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Elaine SchertzCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Emma EmoryCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Shelly K McCrady-SpitzerEndocrine Research Unit, Mayo Clinic, Rochester, MN.
Tyler JeanWilliam Sansum Diabetes Center, Santa Barbara, CA.
Paige K BradleyWilliam Sansum Diabetes Center, Santa Barbara, CA.
Ling HinshawEndocrine Research Unit, Mayo Clinic, Rochester, MN.
Alejandro J Laguna SanzHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Ananda BasuEndocrine Research Unit, Mayo Clinic, Rochester, MN.ORCID 0000-0002-1646-9749
Boris KovatchevCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Claudio CobelliDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0000-0002-0169-6682
Francis J DoyleHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA frank_doyle@seas.harvard.edu.ORCID 0000-0002-3293-9114
University of Virginia · USMayo Clinic in Florida · USSansum Diabetes Research Institute · USHarvard University · USUniversity of Padua · ITUniversity of California, Santa Barbara · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
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
NCATS NIH HHS UL1 TR000135NIDDK NIH HHS DP3 DK094331
6 · The paper itself

Abstract

objectiveArtificial pancreas (AP) systems are best positioned for optimal treatment of type 1 diabetes (T1D) and are currently being tested in outpatient clinical trials. Our consortium developed and tested a novel adaptive AP in an outpatient, single-arm, uncontrolled multicenter clinical trial lasting 12 weeks. RESEARCH DESIGN AND

methodsThirty adults with T1D completed a continuous glucose monitor (CGM)-augmented 1-week sensor-augmented pump (SAP) period. After the AP was started, basal insulin delivery settings used by the AP for initialization were adapted weekly, and carbohydrate ratios were adapted every 4 weeks by an algorithm running on a cloud-based server, with automatic data upload from devices. Adaptations were reviewed by expert study clinicians and patients. The primary end point was change in hemoglobin A

resultsTwenty-nine patients completed the trial. HbA

conclusionsUse of our novel adaptive AP yielded significant reductions in HbA

Indexed as

AdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansHypoglycemiaHypoglycemic AgentsInsulinInsulin Infusion SystemsMaleMiddle AgedPancreas, ArtificialBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulin

Identifiers

PMID29030383
PMCPMC5711334
OpenAlexW2763814022

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.