Cited by 94Diabetes Management and ResearchDiabetes and associated disordersDiabetes Management and Education

Randomized Summer Camp Crossover Trial in 5- to 9-Year-Old Children: Outpatient Wearable Artificial Pancreas Is Feasible and Safe

Open access
Del Favero, Simone, Boscari, Federico, Messori, Mirko, Rabbone, Ivana, Bonfanti, Riccardo, Sabbion, Alberto, Iafusco, Dario, Schiaffini, Riccardo +19 more·2016·Diabetes Care

Abstract

OBJECTIVE: The Pediatric Artificial Pancreas (PedArPan) project tested a children-specific version of the modular model predictive control (MMPC) algorithm in 5- to 9-year-old children during a camp. RESEARCH DESIGN AND METHODS: A total of 30 children, 5- to 9-years old, with type 1 diabetes completed an outpatient, open-label, randomized, crossover trial. Three days with an artificial pancreas (AP) were compared with three days of parent-managed sensor-augmented pump (SAP). RESULTS: Overnight time-in-hypoglycemia was reduced with the AP versus SAP, median (25th–75th percentiles): 0.0% (0.0–2.2) vs. 2.2% (0.0–12.3) (P = 0.002), without a significant change of time-in-target, mean: 56.0% (SD 22.5) vs. 59.7% (21.2) (P = 0.430), but with increased mean glucose 173 mg/dL (36) vs. 150 mg/dL (39) (P = 0.002). Overall, the AP granted a threefold reduction of time-in-hypoglycemia (P < 0.001) at the cost of decreased time-in-target, 56.8% (13.5) vs. 63.1% (11.0) (P = 0.022) and increased mean glucose 169 mg/dL (23) vs. 147 mg/dL (23) (P < 0.001). CONCLUSIONS: This trial, the first outpatient single-hormone AP trial in a population of this age, shows feasibility and safety of MMPC in young children. Algorithm retuning will be performed to improve efficacy.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/dc15-2815

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In July 2016, Diabetes Care published a symposium featuring several outpatient AID studies using DiAs running in two different in silico designed algorithm configurations.

    “In July 2016, Diabetes Care published a symposium, 129 which featured several outpatient AID studies using DiAs running in two different in silico designed algorithm configurations.[123][124][125]”

    From Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility (2023) · cites this paper as [125]

    The Study Oversight section describes one outpatient artificial-pancreas trial using a children-specific MMPC algorithm running on DiAs. The paper therefore supports citing it as an example of such a study, but our copy does not establish that Diabetes Care published a July 2016 symposium or that the studies collectively used two algorithm configurations. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Del Favero, S., Boscari, F., Messori, M., Rabbone, I., Bonfanti, R., Sabbion, A., Iafusco, D., Schiaffini, R., Visentin, R., Calore, R., Moncada, Y. L., Galasso, S., Galderisi, A., Vallone, V., Di Palma, F., Losiouk, E., Lanzola, G., Tinti, D., Rigamonti, A., Marigliano, M., Zanfardino, A., Rapini, N., Avogaro, A., Chernavvsky, D., Magni, L., Cobelli, C., & Bruttomesso, D.
Affiliations
  • Department of Information Engineering, University of Padua, Padua, Italy
  • University of Padua (IT)
  • University of Pavia (IT)
  • University of Turin (IT)
  • IRCCS Ospedale San Raffaele (IT)
  • Azienda Ospedaliera Universitaria Integrata Verona (IT)
  • University of Campania "Luigi Vanvitelli" (IT)
  • Bambino Gesù Children's Hospital (IT)
  • Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy
  • University of Rome Tor Vergata (IT)
  • Center for Diabetes Technology, University of Virginia, Charlottesville, VA
Corresponding author
Cobelli, Claudio
Venue
Diabetes Care
Published
2016-03-25
Volume
39
Issue
7
Pages
1180-1185
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2367971280
Cited by
94
References
16
Citations by year
2026: 1 · 2025: 5 · 2024: 4 · 2023: 3 · 2022: 6 · 2021: 5 · 2020: 9 · 2019: 16 · 2018: 21 · 2017: 18 · 2016: 6
FWCI
20.42
Type
journal article
Language
en
Open access
Locations
  • Diabetes Care (publishedVersion)
  • PubMed (publishedVersion)
  • Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion, public-domain)
  • Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
  • Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion)
Funders
  • Generalitat de Catalunya
  • Università degli Studi di Padova
  • Agència de Gestió d'Ajuts Universitaris i de Recerca
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
type 1 diabetes, artificial pancreas, children, summer camps, sensor-augmented pump, hypoglycemia, glycemic control, time in target, feasibility and safety
MeSH terms
Algorithms, Blood Glucose, Child, Child, Preschool, Diabetes Mellitus, Type 1, Feasibility Studies, Female, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Male, Cross-Over Studies, Pancreas, Artificial

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review