GAGianmarco Adinolfi

Gianmarco Adinolfi

*This is an algorithmically generated author record based on publicly available information.

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Gianmarco Adinolfi has a total of 4 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Artificial Intelligence-assisted Versus Conventional Colonoscopy for Adenoma and Polyp Detection Rates: A Meta-analysis of Recent Randomized and Quasi-randomized Trials

    by Gianmarco Adinolfi, 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.

  • Open Access

    Cardiovascular Outcomes Associated with Semaglutide in Type 2 Diabetes: A Systematic Review and Meta-Analysis

    by Gianmarco Adinolfi, Valeria Milia, Boris Dinkov, 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.