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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2002 6
2003 3
2004 6
2005 5
2006 2
2007 1
2009 2
2010 3
2011 4
2012 4
2013 3
2014 9
2015 6
2016 5
2017 3
2018 3
2019 4
2020 4
2021 6
2022 10
2023 12
2024 15
2025 23
2026 5

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118 results

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Page 1
Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP-1 Receptor Agonists: A Machine Learning-Based Analysis of a Large Real World Cohort.
Falcetta P, Zilich R, Baccetti F, Baronti W, Morviducci L, Musacchio N, Muselli M, Ozzello A, Pisani F, Rossi A, Salomone E, Verda D, Candido R, Ponzani P. Falcetta P, et al. Among authors: candido r. Diabetes Obes Metab. 2026 Mar 9. doi: 10.1111/dom.70648. Online ahead of print. Diabetes Obes Metab. 2026. PMID: 41804217
Real-world prescriptions of GLP-1RAs and SGLT2is in type 2 diabetes prioritise BMI and age over cardiorenal risk: a machine learning-based large cohort analysis.
Tuccinardi D, Zilich R, Ponzani P, Musacchio N, Manicardi V, Rocca A, Pontremoli R, Fioretto P, Muscarà A, Di Cianni G, Candido R, De Cosmo SA, Russo G; AMD Annals study group. Tuccinardi D, et al. Among authors: candido r. Cardiovasc Diabetol Endocrinol Rep. 2025 Dec 10;11(1):38. doi: 10.1186/s40842-025-00251-7. Cardiovasc Diabetol Endocrinol Rep. 2025. PMID: 41366491 Free PMC article.
Late endocrine-metabolic complications in survivors of young adult and adult-onset cancers: comprehensive evaluation and strategies for management. An Italian Association of Medical Oncology (AIOM), Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Italian Society of Endocrinology (SIE), Italian Society of Pharmacology (SIF) multidisciplinary critical review.
Felicetti F, Mazzilli R, Gori S, Gallo M, Cortellini A, D'Oronzo S, Gristina V, Argentiero A, Candido R, Del Re M, Fogli S, Franchina T, Giuffrida D, Marino G, Monami M, Montagnani M, Morviducci L, Natalicchio A, Ragni A, Renzelli V, Sciacca L, Tuveri E, Giorgino F, Verzé M, Zatelli MC, Arvat E, Perrone F, Stracci F, Aimaretti G, Avogaro A, Buzzetti R, Silvestris N, Faggiano A. Felicetti F, et al. Among authors: candido r. J Endocrinol Invest. 2025 Dec 3. doi: 10.1007/s40618-025-02764-5. Online ahead of print. J Endocrinol Invest. 2025. PMID: 41335192
A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes care.
Nicolucci A, Vespasiani G, Mannino D, Russo GT, Lucisano G, Rossi MC, Ponzani P, De Cosmo S, Di Cianni G, Lencioni C, Romeo L, Bernardini M, Frontoni E, Candido R; EGOAL - AMD Annals Study Group. Nicolucci A, et al. Among authors: candido r. Diabetes Res Clin Pract. 2025 Nov;229:112900. doi: 10.1016/j.diabres.2025.112900. Epub 2025 Sep 13. Diabetes Res Clin Pract. 2025. PMID: 40953802
Corrigendum to "Exploring the benefits of alirocumab as lipid-lowering therapy in people with diabetes and very high cardiovascular risk" [Diabetes Res. Clin. Pract. 222 (2025) 112055].
Avogaro A, Buzzetti R, Candido R, Cosmo S, Notarianni L, Consolo E, Luciano M. Avogaro A, et al. Among authors: candido r. Diabetes Res Clin Pract. 2025 Nov;229:112177. doi: 10.1016/j.diabres.2025.112177. Epub 2025 Apr 18. Diabetes Res Clin Pract. 2025. PMID: 40253258 Free article. No abstract available.
118 results