The use of technology in diabetes in pregnancy: a position statement of expert opinion from the association of medical diabetologists (AMD), the Italian society of diabetology (SID) and the interassociative diabetes and pregnancy study group

Over the last 10 years, the number of women with diabetes during pregnancy has increased steadily. Maternal glycaemic control is the most important factor influencing maternal and neonatal outcomes, and technological advances have become integral to the evolution of diabetes care during pregnancy. However, rapid technological development must be accompanied by the equally rapid dissemination of information. In particular, knowledge of the availability of automated insulin delivery (AID) systems for managing type 1 diabetes in pregnancy, and of glucose continuous monitoring (CGM) systems for gestational and type 2 diabetes, needs to be increased. The AMD-SID Italian Diabetes and Pregnancy Study Group, supported by the Technology and Diabetes Study Group, has produced this position paper of expert opinion to review the main international guidelines and current evidence on new technologies for the management of pregnancy in women with GDM, type 1 and type 2 diabetes, and to provide detailed suggestions for the use of commercially available systems in clinical practice.

Authors

Institutions

Publication Details

Journal
Acta Diabetologica
Published
2025-11-10
DOI
https://doi.org/10.1007/s00592-025-02592-2
Citations
1
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
2.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The use of technology in diabetes in pregnancy: a position statement of expert opinion from the association of medical diabetologists (AMD), the Italian society of diabetology (SID) and the interassociative diabetes and pregnancy study group

Maria Masulli, Silvia Burlina, R. Fresa, Gian Pio Sorice et al.
1 citations
Acta Diabetologica
Gestational Diabetes Research and Management
2.06
article

The use of technology in diabetes in pregnancy: a position statement of expert opinion from the association of medical diabetologists (AMD), the Italian society of diabetology (SID) and the interassociative diabetes and pregnancy study group

Maria Masulli, Silvia Burlina, R. Fresa, Gian Pio Sorice, Veronica Resi, Cristina Bianchi, Valeria Grancini, Elisa Manicardi, Antonietta Maria Scarpitta
article en
1 citations

Abstract

Over the last 10 years, the number of women with diabetes during pregnancy has increased steadily. Maternal glycaemic control is the most important factor influencing maternal and neonatal outcomes, and technological advances have become integral to the evolution of diabetes care during pregnancy. However, rapid technological development must be accompanied by the equally rapid dissemination of information. In particular, knowledge of the availability of automated insulin delivery (AID) systems for managing type 1 diabetes in pregnancy, and of glucose continuous monitoring (CGM) systems for gestational and type 2 diabetes, needs to be increased. The AMD-SID Italian Diabetes and Pregnancy Study Group, supported by the Technology and Diabetes Study Group, has produced this position paper of expert opinion to review the main international guidelines and current evidence on new technologies for the management of pregnancy in women with GDM, type 1 and type 2 diabetes, and to provide detailed suggestions for the use of commercially available systems in clinical practice.

Acta Diabetologica
University of Salerno (IT), Diabetes Australia (AU), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Azienda Sanitaria Unità Locale di Reggio Emilia (IT), Ospedale San Paolo (IT), Federico II University Hospital (IT), Azienda Ospedaliera Universitaria Pisana (IT), University of Bari Aldo Moro (IT)
Openalex Percentile: Top 11%
Gestational Diabetes Research and Management
2.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.