Evidence map›Paper›PMID 24879841›Full record

Trial reportDiabetes care2014

Overnight glucose control with an automated, unified safety system in children and adolescents with type 1 diabetes at diabetes camp.

Trang T Ly, Marc D Breton, Patrick Keith-Hynes, Daniel De Salvo, Paula Clinton, Kari Benassi, Benton Mize, Daniel Chernavvsky, Jéróme Place, Darrell M Wilson and 2 more

3 registry-linked trialsOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
13.7field-weighted citation impact, top 1% 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.

NCT01973413 nacompletednot on this map

Diabetes Assistant (DiAs) Control-to-Range (CTR) Nocturnal Closed-Loop Camp Study

TypeinterventionalSponsorUniversity of VirginiaRan2013 to 2013Enrolled32ConditionsDiabetes Mellitus, Type 1ArmsDiabetes Assistant (DiAs), Tandem t:slim Insulin Pump, Dexcom G4 Platinum sensor
NCT02657083 nacompletednot on this mapstarted 2016, after this paper: background citation

Prevention of Hypoglycemia After Exercise Using DreaMed Substance Administration Device in Children and Adolescents With Type 1 Diabetes (The PHYSI-DREAM Study)

TypeinterventionalSponsorUniversity of Ljubljana, Faculty of MedicineRan2016 to 2016Enrolled20ConditionsType 1 Diabetes MellitusArmsDreaMed Substance Administration Device, Sensor Augmented Pump (SAP)
NCT03428932 nacompletednot on this mapstarted 2018, after this paper: background citation

Glycemic Control and the Brain in Children With Type 1 Diabetes

TypeinterventionalSponsorNemours Children's ClinicRan2018 to 2019Enrolled46ConditionsType 1 Diabetes MellitusArmsClosed Loop (Medtronic 670G), Standard Care
3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 121 citations in OpenAlex.

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  13. Psychosocial Impact of the Bionic Pancreas During Summer Camp.Journal of diabetes science and technology · 2016
    Trial
  14. Home Use of an Artificial Beta Cell in Type 1 Diabetes.The New England journal of medicine · 2015
    Trial
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  19. Review
  20. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    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

12 authors at 3 institutions in 3 countries.

Trang T LyDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CASchool of Paediatrics and Child Health, The University of Western Australia, Perth, Western Australia, Australia.
Marc D BretonCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Patrick Keith-HynesCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Daniel De SalvoDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Paula ClintonDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Kari BenassiDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Benton MizeCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Daniel ChernavvskyCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Jéróme PlaceDepartment of Endocrinology, Diabetes and Nutrition, Montpellier University Hospital, Montpellier, France.
Darrell M WilsonDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.
Boris P KovatchevCenter for Diabetes Technology, University of Virginia, Charlottesville, VA.
Bruce A BuckinghamDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA buckingham@stanford.edu.
Stanford University · USUniversity of Virginia · USUniversité de Montpellier · FR

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
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1TR000093 · NCATS · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2012 to 2013
$6.5M
NCATS NIH HHS UL1 TR000093NCATS NIH HHS UL1 TR001085
6 · The paper itself

Abstract

objectiveTo determine the safety and efficacy of an automated unified safety system (USS) in providing overnight closed-loop (OCL) control in children and adolescents with type 1 diabetes attending diabetes summer camps. RESEARCH DESIGN AND

methodsThe Diabetes Assistant (DIAS) USS used the Dexcom G4 Platinum glucose sensor (Dexcom) and t:slim insulin pump (Tandem Diabetes Care). An initial inpatient study was completed for 12 participants to evaluate safety. For the main camp study, 20 participants with type 1 diabetes were randomized to either OCL or sensor-augmented therapy (control conditions) per night over the course of a 5- to 6-day diabetes camp.

resultsSubjects completed 54 OCL nights and 52 control nights. On an intention-to-treat basis, with glucose data analyzed regardless of system status, the median percent time in range, from 70-150 mg/dL, was 62% (29, 87) for OCL nights versus 55% (25, 80) for sensor-augmented pump therapy (P = 0.233). A per-protocol analysis allowed for assessment of algorithm performance. The median percent time in range, from 70-150 mg/dL, was 73% (50, 89) for OCL nights (n = 41) versus 52% (24, 83) for control conditions (n = 39) (P = 0.037). There was less time spent in the hypoglycemic range <50, <60, and <70 mg/dL during OCL compared with the control period (P = 0.019, P = 0.009, and P = 0.023, respectively).

conclusionsThe DIAS USS algorithm is effective in improving time spent in range as well as reducing nocturnal hypoglycemia during the overnight period in children and adolescents with type 1 diabetes in a diabetes camp setting.

Indexed as

Insulin Infusion SystemsAdolescentAdultAlgorithmsAutomationBiosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringCampingChildCircadian RhythmDiabetes Mellitus, Type 1FemaleHumansHypoglycemic AgentsInsulinBlood GlucoseHypoglycemic AgentsInsulin

Identifiers

PMID24879841
PMCPMC4179507
OpenAlexW2170283323

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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.