Evidence map›Paper›PMID 24351169›Full record

ArticleJournal of diabetes science and technology2013

DiAs web monitoring: a real-time remote monitoring system designed for artificial pancreas outpatient trials.

Jérôme Place, Antoine Robert, Najib Ben Brahim, Patrick Keith-Hynes, Anne Farret, Marie-Josée Pelletier, Bruce Buckingham, Marc Breton, Boris Kovatchev, Eric Renard

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 59 citations in OpenAlex.

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  15. Metabolic Models, in Silico Trials, and Algorithms.Diabetes technology & therapeutics · 2025
    Review
  16. Artificial Pancreas: The First 20 Years.Journal of diabetes science and technology · 2025
    Article
  17. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    Review
  18. Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025
    Review
  19. Metabolic Models, in Silico Trials, and Algorithms.Journal of diabetes science and technology · 2025
    Review
  20. 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

10 authors at 4 institutions in 2 countries.

Jérôme PlaceDépartement d'Endocrinologie, Diabète et Nutrition, Hôpital Lapeyronie, 371 Avenue du Doyen Gaston Giraud, 34295 Montpellier, France. jerome.place@univ-montp1.fr.
Antoine Robert
Najib Ben Brahim
Patrick Keith-Hynes
Anne Farret
Marie-Josée Pelletier
Bruce Buckingham
Marc Breton
Boris Kovatchev
Eric Renard
University of Virginia · USUniversité de Montpellier · FRCentre Hospitalier Universitaire de Montpellier · FRStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopments in an artificial pancreas (AP) for patients with type 1 diabetes have allowed a move toward performing outpatient clinical trials. "Home-like" environment implies specific protocol and system adaptations among which the introduction of remote monitoring is meaningful. We present a novel tool allowing multiple patients to monitor AP use in home-like settings.

methodsWe investigated existing systems, performed interviews of experienced clinical teams, listed required features, and drew several mockups of the user interface. The resulting application was tested on the bench before it was used in three outpatient studies representing 3480 h of remote monitoring.

resultsOur tool, called DiAs Web Monitoring (DWM), is a web-based application that ensures reception, storage, and display of data sent by AP systems. Continuous glucose monitoring (CGM) and insulin delivery data are presented in a colored chart to facilitate reading and interpretation. Several subjects can be monitored simultaneously on the same screen, and alerts are triggered to help detect events such as hypoglycemia or CGM failures. In the third trial, DWM received approximately 460 data per subject per hour: 77% for log messages, 5% for CGM data. More than 97% of transmissions were achieved in less than 5 min.

conclusionsTransition from a hospital setting to home-like conditions requires specific AP supervision to which remote monitoring systems can contribute valuably. DiAs Web Monitoring worked properly when tested in our outpatient studies. It could facilitate subject monitoring and even accelerate medical and technical assessment of the AP. It should now be adapted for long-term studies with an enhanced notification feature.

Indexed as

OutpatientsPancreas, ArtificialBlood GlucoseCell PhoneClinical Trials as TopicDiabetes Mellitus, Type 1Equipment DesignHumansInsulinMicrocomputersMonitoring, PhysiologicRemote Sensing TechnologyBlood GlucoseInsulin

Identifiers

PMID24351169
PMCPMC3876321
OpenAlexW2120866570

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.