Evidence map›Paper›PMID 40914967›Full record

ReviewDiabetes/metabolism research and reviews2025

Incretin-Based Adjunct to Background Insulin Treatment for Managing Body Weight Excess in Type 1 Diabetes: An Expert Opinion Viewpoint From the Italian Association of Clinical Endocrinologists.

Giuseppe Lisco, Anna De Tullio, Olga Eugenia Disoteo, Michela Armigliato, Edoardo Guastamacchia, Simonetta Marucci, Giovanni De Pergola, Enrico Papini, Marco Chianelli, Andrea Frasoldati and 3 more

Abstract readReview
In one paragraph

Review in Diabetes/metabolism research and reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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

13 authors.

Giuseppe LiscoInterdisciplinary Department of Medicine, School of Medicine, University of Bari 'Aldo Moro', Bari, Italy.ORCID https://orcid.org/0000-0001-6521-8578
Anna De TullioInterdisciplinary Department of Medicine, School of Medicine, University of Bari 'Aldo Moro', Bari, Italy.ORCID https://orcid.org/0000-0001-6341-6140
Olga Eugenia DisoteoDivision of Endocrinology, Diabetology and Clinical Nutrition, Sant' Anna Hospital-ASST Lariana, Como, Italy.ORCID https://orcid.org/0000-0002-9369-2629
Michela ArmigliatoChief of the Technology, Telehealth, and Digital Innovation Committee of the Italian Association of Clinical Endocrinologists, Rome, Italy.
Edoardo GuastamacchiaInterdisciplinary Department of Medicine, School of Medicine, University of Bari 'Aldo Moro', Bari, Italy.ORCID https://orcid.org/0000-0001-8666-8658
Simonetta MarucciScienza dell'Alimentazione e Nutrizione Umana, University Campus Biomedico, Rome, Italy.
Giovanni De PergolaCenter of Nutrition for the Research and the Care of Obesity and Metabolic Diseases, National Institute of Gastroenterology IRCCS 'Saverio de Bellis', Castellana Grotte, Italy.ORCID https://orcid.org/0000-0003-0020-3273
Enrico PapiniUnit of Endocrinology and Metabolism, Regina Apostolorum Hospital, Rome, Italy.ORCID https://orcid.org/0000-0003-4790-2733
Marco ChianelliUnit of Endocrinology and Metabolism, Regina Apostolorum Hospital, Rome, Italy.ORCID https://orcid.org/0000-0002-8182-7071
Andrea FrasoldatiEndocrinology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID https://orcid.org/0000-0001-9002-9293
Vincenzo De GeronimoService of Endocrinology, Morgagni CCD, Catania, Italy.ORCID https://orcid.org/0000-0002-0271-9858
Vincenzo TriggianiInterdisciplinary Department of Medicine, School of Medicine, University of Bari 'Aldo Moro', Bari, Italy.ORCID https://orcid.org/0000-0001-6308-0528
Italian Association of Clinical Endocrinologists—Medications and Therapeutics Committee; Diabetes Committee; Obesity and Eating Disorders Committee; Technology, Telehealth, and Digital Innovation Committee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overweight and obesity represent common chronic metabolic disorders in the general population, and observed trends describe a substantial growth in the prevalence of weight excess also among individuals with type 1 diabetes (T1D), the so-called 'lean phenotype' of diabetes. The sharp rise of weight excess and obesity-related cardio-nephron-metabolic burdens observed in T2D is expected to produce similar consequences in T1D, leading to the urgent need to endorse therapeutic protocols as in most parts of the World no adjunctive treatments are approved for T1D, making weight excess management challenging in these individuals. The notable results shown by newer glucagon-like peptide 1 receptor agonists (GLP-1RAs) and emerging dual agonists, especially while managing cardio-metabolic burdens, in T2D have encouraged fervent anecdotal and non-anecdotal research also in T1D, indicating that non-insulin injective agents can be effective and safe. With this expert opinion paper, the members of four of the most representative Committees of the Italian Association of Clinical Endocrinologists provide the scientific community with a state-of-the-art report on the use of GLP-1RAs and other incretin-based injective therapy to treat body weight excess in T1D individuals and new insights on the topic with reliable methodology and clinical expertise.

Indexed as

Diabetes Mellitus, Type 1Hypoglycemic AgentsIncretinsInsulinObesityOverweightEndocrinologistsGlucagon-Like Peptide-1 Receptor AgonistsHumansItalyGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsIncretinsInsulindual agonistsexpert opinionglucagon‐like peptide 1 receptor agonistsobesityoverweighttype 1 diabetes mellitus

Identifiers

PMID40914967
PMCPMC12414530

What OpenQuestion holds

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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.