Gianmarco Adinolfi

Mr. Gianmarco Adinolfi

orcid

Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 March 2026 in Endocrines
Verified
Journal Article
Open access
PDF file
GAGianmarco Adinolfi
Gianmarco Adinolfi
VMValeria Milia
Valeria Milia
Boris DinkovBoris Dinkov
Boris Dinkov
GSGalya Stavreva
Galya Stavreva
Background: Cardiovascular complications are a leading cause of death in patients with type 2 diabetes (T2D). The GLP-1 receptor agonist (GLP-1RA) semaglutide has shown cardiometabolic benefits in individual studies, but a comprehensive analysis of its effects in both oral and subcutaneous formulations is lacking. Objective: This study aimed to systematically evaluate the impact of semaglutide, in oral and subcutaneous formulations, on major adverse cardiovascular events (MACE) in patients with T2D. Methods: This review adhered to the PRISMA guidelines and included a comprehensive search of PubMed, MEDLINE, and Google Scholar from November 2016 to June 2025. High-quality randomized controlled trials (RCTs) comparing semaglutide with placebo in patients with T2D were included. The primary endpoint was MACE, defined as cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. Hazard ratio (HR) and 95% confidence intervals (CIs) were pooled using a random-effects model. Results: Of the 127 articles screened, 3 trials involving 16,130 participants met the inclusion criteria. The pooled HR for MACE across the SOUL, SUSTAIN-6, and PIONEER-6 trials was 0.83 (95% CI: 0.76–0.92; I2 = 25%), indicating a 17% relative risk reduction with low heterogeneity. Adverse event profiles were comparable between the semaglutide and placebo groups. Conclusions: Semaglutide use was associated with a significant and consistent reduction in MACE in patients with T2D, supporting its role as a valuable therapeutic option for combined glycemic control and cardiovascular risk reduction.

29 September 2026 in Cancer Screening and Prevention
Verified
Journal Article
Open access
GAGianmarco Adinolfi
Gianmarco Adinolfi
VMValeria Milia
Valeria Milia
Artificial intelligence (AI)-based computer-aided detection (CADe) has been associated with improved adenoma detection during colonoscopy. However, prior meta-analyses synthesized earlier trials, and whether the benefit remains consistent in recent contemporary trials is uncertain. This meta-analysis aimed to estimate the effects of current-generation AI-assisted colonoscopy on adenoma detection rate (ADR) as the primary outcome and polyp detection rate (PDR) as the secondary outcome in randomized and quasi-randomized trials published from August 1, 2024, to August 18, 2026, without re-pooling trials included in earlier comprehensive meta-analyses.