Evidence map›Paper›PMID 23883408›Full record

Trial reportDiabetes technology & therapeutics2013

Outpatient safety assessment of an in-home predictive low-glucose suspend system with type 1 diabetes subjects at elevated risk of nocturnal hypoglycemia.

Bruce A Buckingham, Fraser Cameron, Peter Calhoun, David M Maahs, Darrell M Wilson, H Peter Chase, B Wayne Bequette, John Lum, Judy Sibayan, Roy W Beck and 1 more

2 registry-linked trialsOpen access · greenAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Diabetes technology & therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.4field-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.

NCT00884611 nacompletednot on this map

Development of Algorithms for a Hypoglycemic Prevention Alarm

TypeinterventionalSponsorStanford UniversityRan2007 to 2011Enrolled20ConditionsType 1 Diabetes MellitusArmsPredictive Low Glucose Suspend Algorithm ON, Predictive Low Glucose Suspend Algorithm OFF
NCT01736930 phase2completednot on this map

Reduction of Nocturnal Hypoglycemia by Using Predictive Algorithms and Pump Suspension: An Outpatient Pilot Feasibility and Safety Study

TypeinterventionalSponsorJaeb Center for Health ResearchRan2012 to 2012Enrolled20ConditionsType 1 DiabetesArmsPump suspension
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 102 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Bruce A BuckinghamStanford University, Stanford, CA, USA. buckingham@stanford.edu
Fraser Cameron
Peter Calhoun
David M Maahs
Darrell M Wilson
H Peter Chase
B Wayne Bequette
John Lum
Judy Sibayan
Roy W Beck
Craig Kollman
Jaeb Center for Health Research · USRensselaer Polytechnic Institute · USStanford University · US

Funding

In home closed loop reduction of nocturnal hypoglycemia and daytime hyperglycemiaR01DK085591 · NIDDK · JAEB CENTER FOR HEALTH RESEARCH, INC. · PI BECK, ROY W., BUCKINGHAM, BRUCE A · 2009 to 2013
$3.9M
NIDDK NIH HHS R01 DK085591NIDDK NIH HHS R01DK085591
6 · The paper itself

Abstract

objectiveNocturnal hypoglycemia is a common problem with type 1 diabetes. In the home setting, we conducted a pilot study to evaluate the safety of a system consisting of an insulin pump and continuous glucose monitor communicating wirelessly with a bedside computer running an algorithm that temporarily suspends insulin delivery when hypoglycemia is predicted. RESEARCH DESIGN AND

methodsAfter the run-in phase, a 21-night randomized trial was conducted in which each night was randomly assigned 2:1 to have either the predictive low-glucose suspend (PLGS) system active (intervention night) or inactive (control night). Three predictive algorithm versions were studied sequentially during the study for a total of 252 intervention and 123 control nights. The trial included 19 participants 18-56 years old with type 1 diabetes (hemoglobin A1c level of 6.0-7.7%) who were current users of the MiniMed Paradigm® REAL-Time Revel™ System and Sof-sensor® glucose sensor (Medtronic Diabetes, Northridge, CA).

resultsWith the final algorithm, pump suspension occurred on 53% of 77 intervention nights. Mean morning glucose level was 144±48 mg/dL on the 77 intervention nights versus 133±57 mg/dL on the 37 control nights, with morning blood ketones >0.6 mmol/L following one intervention night. Overnight hypoglycemia was lower on intervention than control nights, with at least one value ≤70 mg/dL occurring on 16% versus 30% of nights, respectively, with the final algorithm.

conclusionsThis study demonstrated that the PLGS system in the home setting is safe and feasible. The preliminary efficacy data appear promising with the final algorithm reducing nocturnal hypoglycemia by almost 50%.

Indexed as

AdolescentAdultAlgorithmsCircadian RhythmDiabetes Mellitus, Type 1Double-Blind MethodFeasibility StudiesFemaleHumansHypoglycemiaInsulin Infusion SystemsMaleMaterials TestingMiddle AgedMonitoring, AmbulatoryPilot Projects

Identifiers

PMID23883408
PMCPMC3746249
OpenAlexW1967760785

What OpenQuestion 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 OpenQuestion graph.