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Algorithms for personalized therapy of type 2 diabetes: results of a web-based international survey
  1. Marco Gallo1,
  2. Edoardo Mannucci2,
  3. Salvatore De Cosmo3,
  4. Sandro Gentile4,
  5. Riccardo Candido5,
  6. Alberto De Micheli6,
  7. Antonino Di Benedetto7,
  8. Katherine Esposito4,
  9. Stefano Genovese8,
  10. Gerardo Medea9,
  11. Antonio Ceriello10,11
  12. on behalf of Associazione Medici Diabetologi (AMD)
  1. 1Department of Oncological Endocrinology, AOU Città della Salute e della Scienza-Molinette, Turin, Italy
  2. 2Department of Diabetes Agency, Careggi Teaching Hospital, Florence, Italy
  3. 3Unit of Internal Medicine, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
  4. 4Department of Clinical and Experimental Medicine, Second University of Naples, Naples, Italy
  5. 5Diabetes Center, A.S.S. 1 Triestina, Trieste, Italy
  6. 6Ligurian Health Agency, Genoa, Italy
  7. 7Department of Internal Medicine, University of Messina, Messina, Italy
  8. 8Department of Cardiovascular and Metabolic Diseases, Istituto di Ricovero e Cura a Carattere Scientifico Gruppo Multimedica, Sesto San Giovanni, Italy
  9. 9Italian College of General Practitioners (Società Italiana di Medicina Generale), Florence, Italy
  10. 10Department of Endocrinology, Hospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
  11. 11Centro de Investigacion Biomèdica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Barcelona, Spain
  1. Correspondence to Dr Marco Gallo; mgallo4{at}


Objective In recent years increasing interest in the issue of treatment personalization for type 2 diabetes (T2DM) has emerged. This international web-based survey aimed to evaluate opinions of physicians about tailored therapeutic algorithms developed by the Italian Association of Diabetologists (AMD) and available online, and to get suggestions for future developments. Another aim of this initiative was to assess whether the online advertising and the survey would have increased the global visibility of the AMD algorithms.

Research design and methods The web-based survey, which comprised five questions, has been available from the homepage of the web-version of the journal Diabetes Care throughout the month of December 2013, and on the AMD website between December 2013 and September 2014. Participation was totally free and responders were anonymous.

Results Overall, 452 physicians (M=58.4%) participated in the survey. Diabetologists accounted for 76.8% of responders. The results of the survey show wide agreement (>90%) by participants on the utility of the algorithms proposed, even if they do not cover all possible needs of patients with T2DM for a personalized therapeutic approach. In the online survey period and in the months after its conclusion, a relevant and durable increase in the number of unique users who visited the websites was registered, compared to the period preceding the survey.

Conclusions Patients with T2DM are heterogeneous, and there is interest toward accessible and easy to use personalized therapeutic algorithms. Responders opinions probably reflect the peculiar organization of diabetes care in each country.

  • Algorithms
  • Survey Analysis
  • Therapies
  • Type 2 Diabetes

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