Evidence map›Paper›PMID 40170658›Full record

Observational studyDiabetes technology & therapeutics2025

Real-Life Performance of Automated Insulin Delivery Systems for High-Carbohydrate Meals: Are All Systems the Same?

Angela Zanfardino, Giorgia Ippolito, Gulsum Ozen, Alfonso Galderisi, Assunta Serena Rollato, Antonietta Chianese, Veronica Testa, Emanuele Miraglia Del Giudice, Andrea E Scaramuzza, Dario Iafusco

Abstract readObservational Study
In one paragraph

Observational study in Diabetes technology & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Angela ZanfardinoDepartment of Pediatrics, Regional Center for Pediatric Diabetes, University of the Study of Campania, Naples, Italy.ORCID 0000-0003-0641-1321
Giorgia IppolitoDepartment of Pediatrics, Regional Center for Pediatric Diabetes, University of the Study of Campania, Naples, Italy.
Gulsum OzenDepartment of Pediatrics, Regional Center for Pediatric Diabetes, University of the Study of Campania, Naples, Italy.
Alfonso GalderisiDepartment of Pediatrics, Yale University, New Haven, Connecticut, USA.
Assunta Serena RollatoDepartment of Pediatrics, Regional Center for Pediatric Diabetes, University of the Study of Campania, Naples, Italy.
Antonietta ChianeseDepartment of Pediatrics, Regional Center for Pediatric Diabetes, University of the Study of Campania, Naples, Italy.
Veronica TestaDepartment of Pediatrics, Regional Center for Pediatric Diabetes, University of the Study of Campania, Naples, Italy.
Emanuele Miraglia Del GiudiceDepartment of Pediatrics, Regional Center for Pediatric Diabetes, University of the Study of Campania, Naples, Italy.
Andrea E ScaramuzzaPediatric Endocrinology and Diabetes, Pediatrics, Ospedale Maggiore, ASST Cremona, Cremona, Italy.ORCID 0000-0002-1518-8515
Dario IafuscoDepartment of Pediatrics, Regional Center for Pediatric Diabetes, University of the Study of Campania, Naples, Italy.

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI GERALD I SHULMAN · 1993 to 2026
$44.0M
NIDDK NIH HHS P30 DK045735
6 · The paper itself

Abstract

Managing postprandial blood glucose levels in children and adolescents with type 1 diabetes remains challenging, particularly with high-carbohydrate meals. This study analyzed postprandial glycemic responses to Margherita pizza and a ham sandwich with similar macronutrient content in children using two different automated insulin delivery (AID) systems: MiniMed™ 780G and Tandem t:slim X2™ with Control-IQ. Thirty-four participants consumed both meals on separate occasions while maintaining standard insulin boluses. Results showed no significant differences in glycemic control between meals, suggesting that Margherita pizza can be effectively managed with standard bolus strategies. However, individuals using MiniMed 780G demonstrated a higher time in target range (70-140 mg/dL) in the 10 h following pizza consumption compared with Control-IQ users, possibly due to MiniMed 780G's multiple automatic correction boluses. No other significant differences in glucometrics or insulin delivery were observed. These findings highlight the need for personalized meal management strategies based on specific AID system algorithms.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1Dietary CarbohydratesInsulinInsulin Infusion SystemsAdolescentAnimalsChildFemaleHumansMaleMealsMeatPostprandial PeriodSwineBlood GlucoseDietary CarbohydratesInsulinautomated insulin delivery systemhigh-carbohydrate mealinsulin pumppizzatype 1 diabetes

Identifiers

PMID40170658
PMCPMC13158857

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.