Evidence map›Paper›PMID 39387915›Full record

Observational studyActa diabetologica2025

Glucose metrics and device satisfaction in adults with type 1 diabetes using different treatment modalities: a multicenter, real-world observational study.

S Di Molfetta, A Rossi, R Gesuita, A Faragalli, A Cutruzzolà, C Irace, N Minuto, D Pitocco, F Cardella, C Arnaldi and 6 more

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Acta diabetologica, 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

16 authors.

S Di MolfettaSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, 70124, Italy.
A RossiIRCCS Ospedale Galeazzi-Sant'Ambrogio, Milan, 20157, Italy.
R GesuitaCenter of Epidemiology, Biostatistics and Medical Information Technology, Polytechnic University of Marche, Ancona, 60020, Italy.
A FaragalliCenter of Epidemiology, Biostatistics and Medical Information Technology, Polytechnic University of Marche, Ancona, 60020, Italy.
A CutruzzolàDepartment of Clinical and Experimental Medicine, University Magna Graecia, Catanzaro, 88100, Italy.
C IraceDepartment of Health Science, University Magna Graecia, Catanzaro, 88100, Italy. irace@unicz.it.
N MinutoDepartment of Pediatrics, IRCCS Istituto Giannina Gaslini, Genoa, 16147, Italy.
D PitoccoDiabetes Care Unit, UOSD Diabetologia, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, 00168, Italy.
F CardellaDepartment of Pediatrics, University of Palermo, Palermo, 90133, Italy.
C ArnaldiUOS Diabetologia Pediatrica ASL Viterbo, Viterbo, 01100, Italy.
A FrongiaDiabetes Unit, Ospedale Brotzu, Cagliari, 09134, Italy.
E MozzilloDepartment of Translational Medical Science, Section of Pediatrics, Regional Center of Pediatric Diabetes, Federico II University of Naples, Naples, 80138, Italy.
B PredieriDepartment of Medical and Surgical Sciences of the Mother, Children and Adults - Pediatric Unit, University of Modena and Reggio Emilia, Modena, 41124, Italy.
P FiorinaDivision of Endocrinology, ASST Fatebenefratelli-Sacco, Milan, 20121, Italy.
F GiorginoSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, 70124, Italy.
V CherubiniDepartment of Women's and Children's Health, Salesi Hospital, Ancona, 60123, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate glucose metrics, device satisfaction and diabetes impact in adults with type 1 diabetes using different treatment modalities in a real-life setting in Italy.

methodsThis was a multicentre, nationwide, cross-sectional study. Candidates were consecutively evaluated for eligibility during their routine medical visit at the diabetes centre. Researchers collected comprehensive demographic, socioeconomic, anamnestic and clinical data, and administered the Diabetes Impact and Device Satisfaction scale.

resultsFrom 2021 to 2022, a total of 428 subjects, 45% males, with a median age of 32 years (IQR 23-47) were recruited in 11 participating centres from all over Italy. No differences in age, physical activity, and diabetes impact were found for the different treatment modalities. HCL/AHCL and SAP groups reported higher device satisfaction vs. MDI + SMBG and MDI + CGM (p < 0.001). Subjects treated with HCL/AHCL exhibited significantly higher TIR and significantly lower time spent in hypoglycemia level 1, time spent in hyperglycemia, CV and GMI compared to MDI + CGM, and significantly higher TIR and significantly lower time spent in hypoglycemia level 2, time spent in hyperglycemia, and CV compared to SAP. Significant reduction in hypoglycemia level 2 was also found with PLGM compared to SAP. High education attainment was associated with optimal metabolic control.

conclusionReal-life use of advanced technologies for type 1 diabetes is associated with improved glucose metrics and device satisfaction. Education level also contributes to success of treatment.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Patient SatisfactionAdultCross-Sectional StudiesFemaleHumansHypoglycemiaHypoglycemic AgentsInsulinInsulin Infusion SystemsItalyMaleMiddle AgedYoung AdultBlood GlucoseHypoglycemic AgentsInsulinAdultsContinuous subcutaneous insulin infusionDevice satisfactionHybrid closed loopTime in rangeTreatmentType 1 diabetes

Identifiers

PMID39387915
PMCPMC12055876

What Socratic holds

Textmetadata
LicenceCC BY
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.