Evidence map›Paper›PMID 41222662›Full record

ArticleActa diabetologica2026

Analysis of morbid obese diabetic and non-diabetic patients: clinical and social characteristics, habits and workup to undergo bariatric surgery in Lombardy, Italy.

Antonio E Pontiroli, Salvatore Guarino, Marta Tagliabue, Lucia La Sala, Lucia Centofanti, Stefano Olmi, Giuliano Sarro, Alessandro Giovanelli, Carmela Asteria, Elisa Galfrascoli and 5 more

Abstract read
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Article in Acta diabetologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Antonio E PontiroliDipartimento di Scienze Della Salute, Università Degli Studi Di Milano, Milan, Italy. antonio.pontiroli@unimi.it.
Salvatore GuarinoIRCCS Multimedica, Milan, Italy.
Marta TagliabueIRCCS Multimedica, Milan, Italy.
Lucia La SalaIRCCS Multimedica, Milan, Italy. lucia.lasala@unimi.it.
Lucia CentofantiDipartimento di Scienze Della Salute, Università Degli Studi Di Milano, Milan, Italy.
Stefano OlmiPoliclinico San Marco, Gruppo San Donato, Zingonia, Italy.
Giuliano SarroIstituto San Gaudenzio, Novara, Italy.
Alessandro GiovanelliIRCCS Galeazzi Hospital, Gruppo San Donato, Milan, Italy.
Carmela AsteriaIRCCS Galeazzi Hospital, Gruppo San Donato, Milan, Italy.
Elisa GalfrascoliDepartment of Surgery, Fatebenefratelli Hospital, Milan, Italy.
Umberto MortolaDipartimento di Scienze Della Salute, Università Degli Studi Di Milano, Milan, Italy.
Loredana BucciarelliPio Albergo Trivulzio, Milan, Italy.
Marco Antonio ZappaDepartment of Surgery, Fatebenefratelli Hospital, Milan, Italy.
Elena TagliabueIRCCS Multimedica, Milan, Italy.
Franco FolliDipartimento di Scienze Della Salute, Università Degli Studi Di Milano, Milan, Italy. franco.folli@unimi.it.ORCID http://orcid.org/0000-0001-9824-5222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on morbid obese diabetic and non-diabetic patients' social characteristics and habits, in candidates for bariatric surgery (BS) are few. To gain further insights, we investigated 799 morbid obese diabetic (n = 111) and non-diabetic patients (n = 688).

methodsFamily history of cardiometabolic diseases, personal history, education and occupation, comorbidities, daily habits, previous dietetic treatment, reasons and pathway to BS were investigated. Team members involved and examinations performed were also analyzed.

resultsFamily histories of obesity, diabetes and hypertension significantly associated with each other, and clinically overt diseases were also associated with family histories of the same disease, as diabetes and hypertension, and were more frequent in diabetic as compared to non-diabetic (p > 0.05, p < 0.0001 and p < 0.05). Females significantly differed from males for lower body mass index (BMI) (mean 41.2 vs 42.8 kg/m

conclusionsPatients seeking bariatric surgery have a valid and well structured idea of obesity and are aware of the importance of eating less and physical activity in managing obesity, with differences linked to their educational levels. The interaction between physicians and surgeons improved the overall prognosis of patients seeking BS, based on screening of CV risk factors. Improved patients long term follow-up after surgery, identification of the suitable pre-BS diets, as well and identification of patients who might benefit from non-BS approaches, such as newer medical therapies could improve long term care of obesity.

Indexed as

Bariatric SurgeryDiabetes MellitusObesity, MorbidAdultBody Mass IndexFemaleHumansItalyMaleMiddle AgedBariatric surgeryEducation statusMorbid obesitySocial characteristicsType 2 diabetes mellitus

Identifiers

PMID41222662
PMCPMC13092519

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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.