208 results on '"Ponzani P."'
Search Results
2. The Escape Project: Sensor Selection for the Development of a Portable System for Landfill Surface Emission Monitoring
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Veronica Villa, Dario Vernola, Stefano Robbiani, Beatrice J. Lotesoriere, Christian Ratti, Gabriele Viscardi, Manuel Roveri, Raffaele Dellacà, Yuri Ponzani, and Laura Capelli
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Chemical engineering ,TP155-156 ,Computer engineering. Computer hardware ,TK7885-7895 - Abstract
The ESCAPE (Environmental Sites CH4 Assessment Platform Europe) has the aim to develop an innovative environmental monitoring system based on a cloud-based online platform, combining ground and space-based datasets with AI-based solutions and algorithms for spotting emissions from landfill sites. This paper presents the research activities related to the selection of the sensors for the implementation of a portable sensor system for monitoring gaseous emissions over the landfill surface. Specifically, 6 gas sensors (2 MOX, 3 digital MOX and 1 NDIR) were selected based on a technology scouting involving the study of scientific literature and technical documentation, and then tested towards different concentrations (i.e., 10, 100, 1,000 and 10,000 ppm) of CH4 and CO2. Test results show that the MOX sensors TGS2611, SGP40 and BME688 are sensitive to CH4 at concentrations down to 10 ppm, and have no (or low) cross-sensitivity to CO2, making them suitable for the considered application. The NDIR sensor, despite being sensitive only to CH4 concentrations >1000 ppm, could be nonetheless included in the sensors toolbox because of its selectivity.
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- 2024
3. Letteratura professionale italiana, a cura di Federica Olivotto e Vittorio Ponzani
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Federica Olivotto and Vittorio Ponzani
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Bibliography. Library science. Information resources - Published
- 2024
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4. Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control
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Musacchio Nicoletta, Rita Zilich, Davide Masi, Fabio Baccetti, Besmir Nreu, Carlo Bruno Giorda, Giacomo Guaita, Lelio Morviducci, Marco Muselli, Alessandro Ozzello, Federico Pisani, Paola Ponzani, Antonio Rossi, Pierluigi Santin, Damiano Verda, Graziano Di Cianni, and Riccardo Candido
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machine learning ,artificial intelligence ,type 2 diabetes ,therapeutic inertia ,insulin ,Computer engineering. Computer hardware ,TK7885-7895 - Abstract
Background: International guidelines for diabetes care emphasize the urgency of promptly achieving and sustaining adequate glycemic control to reduce the occurrence of micro/macrovascular complications in patients with type 2 diabetes mellitus (T2DM). However, data from the Italian Association of Medical Diabetologists (AMD) Annals reveal that only 47% of T2DM patients reach appropriate glycemic targets, with approximately 30% relying on insulin therapy, either solely or in combination. This artificial intelligence analysis seeks to assess the potential impact of timely insulin initiation in all eligible patients via a “what-if” scenario simulation, leveraging real-world data. Methods: This retrospective cohort study utilized the AMD Annals database, comprising 1,186,247 T2DM patients from 2005 to 2019. Employing the Logic Learning Machine (LLM), we simulated timely insulin use for all eligible patients, estimating its effect on glycemic control after 12 months within a cohort of 85,239 patients. Of these, 20,015 were employed for the machine learning phase and 65,224 for simulation. Results: Within the simulated scenario, the introduction of appropriate insulin therapy led to a noteworthy projected 17% increase in patients meeting the metabolic target after 12 months from therapy initiation within the cohort of 65,224 individuals. The LLM’s projection envisages 32,851 potential patients achieving the target (hemoglobin glycated < 7.5%) after 12 months, compared to 21,453 patients observed in real-world cases. The receiver operating characteristic (ROC) curve analysis for this model demonstrated modest performance, with an area under the curve (AUC) value of 70.4%. Conclusions: This study reaffirms the significance of combatting therapeutic inertia in managing T2DM patients. Early insulinization, when clinically appropriate, markedly enhances patients’ metabolic goals at the 12-month follow-up.
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- 2024
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5. Il riconoscimento della figura professionale del bibliotecario e la nuova edizione della UNI 11535
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Vittorio Ponzani, Paola Manoni, and Giovanna Mazzola Merola
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bibliotecari ,riconoscimento professionale ,norma UNI 11535 ,Bibliography. Library science. Information resources - Abstract
Si illustrano le caratteristiche dell’edizione 2023 della norma UNI 11535 sulla figura professionale del bibliotecario. Rientra infatti nel normale iter procedurale dell’Ente italiano di normazione UNI che ogni norma tecnica venga sottoposta periodicamente a revisione, conservando l’impianto e l’articolazione originale e modificando il testo in funzione dell’evoluzione della normativa italiana e internazionale. Conseguentemente le principali novità introdotte in questa edizione sono relative a: l’introduzione del concetto di autonomia e responsabilità, l’attribuzione della fascia di ottavo livello, lo stretto collegamento alle disposizioni definite dall’AIB in merito ai requisiti per accesso, mantenimento e rinnovo dell’attestazione dei propri associati. L’articolo ripercorre inoltre alcuni momenti del riconoscimento professionale con riferimento al contesto AIB e alla legge n. 4 del 2013, che evidenzia come le disposizioni in materia di professioni non organizzate hanno di fatto reso possibile una sinergia tra legislazione, normazione tecnica e ruolo delle associazioni.
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- 2024
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6. Nipple-Sparing Mastectomy After Neoadjuvant Chemotherapy: Definitive Results with a Long-Term Follow-Up Evaluation
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Zarba Meli, Emanuele, De Santis, Anna, Cortese, Giuliana, Manna, Elena, Mastropietro, Tiziana, La Pinta, Massimo, Loreti, Andrea, Arelli, Floriana, Scavina, Paola, Minelli, Mauro, Andrulli, Angela Damiana, Costarelli, Leopoldo, Broglia, Laura, Ponzani, Tatiana, and Fortunato, Lucio
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- 2023
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7. 透明机器学习预测决定2型糖尿病患者开始胰岛素治疗的关键驱动因素
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Nicoletta Musacchio, Rita Zilich, Paola Ponzani, Giacomo Guaita, Carlo Giorda, Rebeca Heidbreder, Pierluigi Santin, and Graziano Di Cianni
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2型糖尿病 ,治疗惯性 ,机器学习 ,人工智能 ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Abstract Aims The objective of this study is to establish a predictive model using transparent machine learning (ML) to identify any drivers that characterize therapeutic inertia. Methods Data in the form of both descriptive and dynamic variables collected from electronic records of 1.5 million patients seen at clinics within the Italian Association of Medical Diabetologists between 2005–2019 were analyzed using logic learning machine (LLM), a “clear box” ML technique. Data were subjected to a first stage of modeling to allow ML to automatically select the most relevant factors related to inertia, and then four further modeling steps individuated key variables that discriminated the presence or absence of inertia. Results The LLM model revealed a key role for average glycated hemoglobin (HbA1c) threshold values correlated with the presence or absence of insulin therapeutic inertia with an accuracy of 0.79. The model indicated that a patient's dynamic rather than static glycemic profile has a greater effect on therapeutic inertia. Specifically, the difference in HbA1c between two consecutive visits, what we call the HbA1c gap, plays a crucial role. Namely, insulin therapeutic inertia is correlated with an HbA1c gap of 11 mmol/mol (1.0%). Conclusions The results reveal, for the first time, the interrelationship between a patient's glycemic trend defined by sequential HbA1c measurements and timely or delayed initiation of insulin therapy. The results further demonstrate that LLM can provide insight in support of evidence‐based medicine using real world data.
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- 2023
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8. Letteratura professionale italiana, a cura di Federica Olivotto, Alberto Petrucciani, Vittorio Ponzani
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Federica Olivotto, Alberto Petrucciani, and Vittorio Ponzani
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Bibliography. Library science. Information resources - Published
- 2023
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9. Long-term follow-up of smokers following lung and colorectal cancer diagnosis
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Park, Elyse R., Skurla, Sarah E., Caballero, Grelda Yazmin Juarez, Friedman, Emily R., Ponzani, Colin, Wallace, Robert, Malin, Jennifer, and Keating, Nancy L.
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- 2022
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10. Measles vaccine uptake among Italian medical students compared to the pre-COVID-19 era
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Cristiana Ferrari, Giuseppina Somma, Ole Olesen, Ersilia Buonomo, Matteo Pasanisi Zingarello, Andrea Mazza, Stefano Rizza, Luca Di Giampaolo, Andrea Magrini, Francesca Ponzani, and Luca Coppeta
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measles ,measles vaccine ,outbreak ,vaccination ,healthcare workers ,medical students ,covid-19 ,sars-cov-2 pandemic ,Immunologic diseases. Allergy ,RC581-607 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
The COVID-19 pandemic has severely affected health systems worldwide and raised the issue of vaccine hesitancy. In 2022, the World Health Organization reported an outbreak of measles infection among people over 20 years of age in the European Region. Previous studies found low rates of measles immunization among Italian healthcare workers (HCWs) and medical students. Vaccine hesitancy is a relevant cause of low immunization rate among HCWs and the general population. We aim to evaluate the measles vaccine uptake among medical students of a large teaching hospital, compared to the pre-pandemic period. This is a retrospective observational study, that evaluated the immune status and the vaccine acceptance rate for measles in medical students at the University of Tor Vergata, Rome, who underwent occupational health surveillance from 1 January to 1 December 2022. We also compared the data with the results of a pre-pandemic survey conducted in 2018. Vaccine uptake among unprotected medical students was 59.5%. The data showed no significant difference in vaccine uptake compared with the pre-COVID-19 period. Conversely, the rate of serologically immune subjects to measles increased from 89.66% in 2018 to 97.45% in 2022 as a result of the recent mandatory vaccination policy. Despite efforts to tackle vaccine hesitancy during the COVID-19 pandemic, measles vaccine uptake is still low among young adults starting their medical training, and their compliance with free workplace vaccination offers is suboptimal. Occupational health services should raise awareness among workers and work together to implement strategies to achieve comprehensive measles vaccination coverage among occupational health workers.
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- 2023
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11. Letteratura professionale italiana, a cura di Vittorio Ponzani
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Vittorio Ponzani
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Bibliography. Library science. Information resources - Published
- 2023
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12. Investigating documentation of alcohol and non-medical substance use in oncology treatment: an electronic health record review
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Streck, Joanna M., Walter, Angela W., Temel, Jennifer S., Jawahri, Areej El-, Shin, Hyo Jin, Regan, Susan, Muzikansky, Alona, Ponzani, Colin J., Ostroff, Jamie S., and Park, Elyse R.
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- 2022
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13. ASO Visual Abstract: Nipple-Sparing Mastectomy After Neoadjuvant Chemotherapy: Definitive Results with a Long-Term Follow-Up
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Zarba Meli, Emanuele, De Santis, Anna, Cortese, Giuliana, Manna, Elena, Mastropietro, Tiziana, La Pinta, Massimo, Loreti, Andrea, Arelli, Floriana, Scavina, Paola, Minelli, Mauro, Andrulli, Angela Damiana, Costarelli, Leopoldo, Broglia, Laura, Ponzani, Tatiana, and Fortunato, Lucio
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- 2023
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14. Letteratura professionale italiana, a cura di Vittorio Ponzani
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Vittorio Ponzani
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Bibliography. Library science. Information resources - Published
- 2022
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15. A PAISAGEM DO BARRA SHOPPING SUL E SEU ENTORNO: UMA ANÁLISE PELA PERCEPÇÃO DOS USUÁRIOS PARA O PLANEJAMENTO LOCAL E REGIONAL
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Andréia Castro de Paula Nunes, Bruno Ponzani Gelain, Edgar Garcia Velozo, Tiago Antonio Zilio, and Roberto Verdum
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Physical geography ,GB3-5030 ,Geography (General) ,G1-922 - Abstract
Diante da necessidade de revisão de Plano Diretor de Porto Alegre e da sua divisão em regiões de planejamento, em busca de um melhor entendimento de suas especificidades e de suas diversidades, a Região de Gestão do Planejamento 5 apresenta diversas questões importantes a serem consideradas. Entre elas, está a construção e funcionamento de um shopping que, em um processo de gentrificação, desocupou e realocou uma vila inteira. Com vistas a auxiliar na produção de informações para o planejamento regional participativo, o presente trabalho buscou analisar a percepção dos usuários do Barra Shopping Sul, e dos habitantes de seus arredores, para compreender a paisagem desta área, que faz parte e que cumpre com um importante papel na dinâmica urbana da Região de Gestão do Planejamento 5, do Plano Diretor de Desenvolvimento Urbano e Ambiental da cidade de Porto Alegre. A partir de uma explanação sobre o Plano Diretor de Porto Alegre, e de sua revisão em curso, pretende-se apresentar a Região de Gestão do Planejamento 5, seus bairros e o empreendimento do Barra Shopping Sul e seus arredores, através do emprego de um questionário sobre a percepção dos usuários dessa área no bairro Cristal, buscando analisar os dados obtidos e realizar uma leitura da paisagem da localidade. Verificou-se, nas considerações finais, que a percepção e a relação do público com a paisagem da área de entorno do Barra Shopping Sul não se devem, apenas, ao shopping, mas, principalmente, às atividades de lazer nos arredores do empreendimento, com fortíssima relação com a orla do Guaíba, com a ciclovia, com o museu e com os parques do entorno.
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- 2021
16. Clinical inertia is the enemy of therapeutic success in the management of diabetes and its complications: a narrative literature review
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F. Andreozzi, R. Candido, S. Corrao, R. Fornengo, A. Giancaterini, P. Ponzani, M. C. Ponziani, F. Tuccinardi, and D. Mannino
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Clinical inertia ,Diabetes care ,Italian association of medical diabetologists ,Therapeutic inertia ,Type 2 diabetes mellitus ,Nutritional diseases. Deficiency diseases ,RC620-627 - Abstract
Abstract Diabetes mellitus is a chronic disease characterized by high social, economic and health burden, mostly due to the high incidence and morbidity of diabetes complications. Numerous studies have shown that optimizing metabolic control may reduce the risk of micro and macrovascular complications related to the disease, and the algorithms suggest that an appropriate and timely step of care intensification should be proposed after 3 months from the failure to achieve metabolic goals. Nonetheless, many population studies show that glycemic control in diabetic patients is often inadequate. The phenomenon of clinical inertia in diabetology, defined as the failure to start a therapy or its intensification/de-intensification when appropriate, has been studied for almost 20 years, and it is not limited to diabetes care, but also affects other specialties. In the present manuscript, we have documented the issue of inertia in its complexity, assessing its dimensions, its epidemiological weight, and its burden over the effectiveness of care. Our main goal is the identification of the causes of clinical inertia in diabetology, and the quantification of its social and health-related consequences through the adoption of appropriate indicators, in an effort to advance possible solutions and proposals to fight and possibly overcome clinical inertia, thus improving health outcomes and quality of care.
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- 2020
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17. Corrigendum to 'Examining the effects of stress and psychological distress on smoking abstinence in cancer patients' [Prev. Med. Rep. 23 (2021) 101402]
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Joanna M. Streck, Christina M. Luberto, Alona Muzikansky, Sarah Skurla, Colin J. Ponzani, Giselle K. Perez, Daniel L. Hall, Adam Gonzalez, Brittain Mahaffey, Nancy A. Rigotti, Jamie S. Ostroff, and Elyse R. Park
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Medicine - Published
- 2022
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18. Correction to: Long-term follow-up of smokers following lung and colorectal cancer diagnosis
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Park, Elyse R., Skurla, Sarah E., Caballero, Grelda Yazmin Juarez, Friedman, Emily R., Ponzani, Colin, Wallace, Robert, Malin, Jennifer, and Keating, Nancy L.
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- 2022
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19. Switching Patients with Type 1 Diabetes to Insulin Degludec from Other Basal Insulins: Real-World Data of Effectiveness and Safety
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Ponzani, Paola, Berra, Cesare, Di Lelio, Alessandra, Del Sindaco, Paola, Di Loreto, Chiara, Reggiani, Francesco, Lucisano, Giuseppe, and Rossi, Maria Chiara
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- 2020
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20. Letteratura professionale italiana, a cura di Vittorio Ponzani
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Vittorio Ponzani
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Bibliography. Library science. Information resources - Published
- 2021
21. Examining the effects of stress and psychological distress on smoking abstinence in cancer patients
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Joanna M. Streck, Christina M. Luberto, Alona Muzikansky, Sarah Skurla, Colin J. Ponzani, Giselle K. Perez, Daniel L. Hall, Adam Gonzalez, Brittain Mahaffey, Nancy A. Rigotti, Jamie S. Ostroff, and Elyse R. Park
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Smoking cessation ,Cancer patients ,Stress ,Distress ,Anxiety ,Smoking cessation intervention ,Medicine - Abstract
Introduction: Cancer patients who smoke report more stress and psychological distress than patients who do not smoke. It is unclear how these emotional symptoms may modify smoking behavior in cancer patients. We examined the influence of a smoking cessation intervention for cancer patients on stress and distress, and the effects of these symptoms on smoking abstinence. Methods: Mixed-methods secondary analysis of data from the Smokefree Support Study, a two-site randomized controlled trial examining the efficacy of Intensive (IT; n = 153) vs. Standard Treatment (ST; n = 150) for smoking cessation in newly diagnosed cancer patients. Stress coping, perceived stress, distress, and anxiety were self-reported at baseline, 3, and 6 months. Abstinence was biochemically-confirmed at 6 months. A subset of patients (n = 72) completed qualitative exit-interviews. Results: Patients were on average, 58 years old, 56% female, and smoked a median of 10 cigarettes/day. There were no significant treatment group × time interactions or main effects of treatment group on stress or distress measures (p’s > 0.05), however there were significant main effects of time suggesting symptom improvements on each measure in both study groups (p’s
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- 2021
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22. Racial Differences in Smoking-related Disease Risk Perceptions Among Adults Completing Lung Cancer Screening: Follow-up Results from the ACRIN/NLST Ancillary Study
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Perez, Giselle K., Gareen, Ilana F., Sicks, JoRean, Lathan, Christopher, Carr, Alaina, Kumar, Pallavi, Ponzani, Colin, Hyland, Kelly, and Park, Elyse R.
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- 2019
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23. Patient preferences for treatment in type 2 diabetes: the Italian discrete-choice experiment analysis
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Marchesini, Giulio, Pasqualetti, Patrizio, Anichini, Roberto, Caputo, Salvatore, Memoli, Giuseppe, Ponzani, Paola, Resi, Veronica, Rizzo, Manfredi, Serviddio, Gaetano, and Zanette, Giorgio
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- 2019
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24. Impact of Insulin Degludec in Type 2 Diabetes: Real-World Data on Effectiveness and Safety
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Ponzani, Paola, Berra, Cesare, Di Lelio, Alessandra, Del Sindaco, Paola, Di Loreto, Chiara, Reggiani, Francesco, Lucisano, Giuseppe, and Rossi, Maria Chiara
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- 2018
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25. Letteratura professionale italiana, a cura di Vittorio Ponzani
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Vittorio Ponzani
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Bibliography. Library science. Information resources - Published
- 2020
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26. Patient-Level Factors Associated with Oncology Provider-Delivered Brief Tobacco Treatment Among Recently Diagnosed Cancer Patients
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JM Neil, SN Price, ER Friedman, C Ponzani, JS Ostroff, A Muzikansky, and ER Park
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Public aspects of medicine ,RA1-1270 - Abstract
Background: A cancer diagnosis is seen as a “teachable moment” for patients to consider changing their behavioral risk factors, such as smoking. It also offers an opportunity for oncology providers to engage in a dialogue about how they can support patients changing their smoking behaviors. Brief, evidence-based tobacco cessation treatment delivered by oncology providers through the 5As (Ask, Advise, Assess, Assist Arrange) model is recommended, but provision to cancer patients remains suboptimal. Aim: Explore patient-level factors associated with 5As receipt among current smokers with a newly diagnosed cancer. Method: A total of 303 patients self-reported whether they received each of the 5As during their most recent oncology care visit. Multivariable regression analyses were conducted to identify patient-level factors associated with 5As receipt. Results: Oncology provider-delivered 5As rates ranged from 81.5% (Ask) to 30.7% (Arrange). 5As receipt was associated with: reporting lower illness-related stigma, diagnosis of a comorbid smoking-related disease, diagnosis of a smoking-related cancer, and diagnosis of a non-advanced cancer. Conclusion: Findings support previous literature in which smoking-related diagnoses were associated with greater receipt of 5As; however, disparities in the receipt of 5As existed for patients with more advanced cancer diagnoses and illness-related stigma. Inequities in the provision of quit assistance may further decrease treatment effectiveness and survival expectancy among certain patient populations. These findings are, therefore, important as they identify specific patient-level factors associated with lower 5As receipt among newly diagnosed cancer patients.
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- 2020
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27. Questioni di metodo: i comunicati AIB a supporto delle biblioteche e dei bibliotecari di fronte all’emergenza da Covid-19
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Vittorio Ponzani and Rosa Maiello
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covid-19 ,AIB ,healthcare emergency ,Bibliography. Library science. Information resources - Abstract
Il contributo rende conto dell’attività svolta dall’AIB e del metodo applicato in occasione dell’emergenza da Covid-19, per fornire informazioni e raccomandazioni a supporto delle biblioteche e del lavoro nel settore. Ci si concentra in particolar modo sugli aspetti della tutela della salute e dell’occupazione nel settore, le due emergenze – l’una contingente, ma che richiede l’adozione di soluzioni onerose anche a medio termine, l’altra strutturale – che pesano sulle prospettive del settore.
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- 2020
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28. Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists
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Musacchio, Nicoletta, Giancaterini, Annalisa, Guaita, Giacomo, Ozzello, Alessandro, Pellegrini, Maria A, Ponzani, Paola, Russo, Giuseppina T, Zilich, Rita, and de Micheli, Alberto
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Public aspects of medicine ,RA1-1270 - Abstract
Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are not limited anymore to a descriptive analysis of the data, as we can obtain greater value by identifying and predicting patterns resulting from inductive reasoning. Machine learning software programs that disclose the reasoning behind a prediction allow for “what-if” models by which it is possible to understand if and how, by changing certain factors, one may improve the outcomes, thereby identifying the optimal behavior. Currently, diabetes care is facing several challenges: the decreasing number of diabetologists, the increasing number of patients, the reduced time allowed for medical visits, the growing complexity of the disease both from the standpoints of clinical and patient care, the difficulty of achieving the relevant clinical targets, the growing burden of disease management for both the health care professional and the patient, and the health care accessibility and sustainability. In this context, new digital technologies and the use of artificial intelligence are certainly a great opportunity. Herein, we report the results of a careful analysis of the current literature and represent the vision of the Italian Association of Medical Diabetologists (AMD) on this controversial topic that, if well used, may be the key for a great scientific innovation. AMD believes that the use of artificial intelligence will enable the conversion of data (descriptive) into knowledge of the factors that “affect” the behavior and correlations (predictive), thereby identifying the key aspects that may establish an improvement of the expected results (prescriptive). Artificial intelligence can therefore become a tool of great technical support to help diabetologists become fully responsible of the individual patient, thereby assuring customized and precise medicine. This, in turn, will allow for comprehensive therapies to be built in accordance with the evidence criteria that should always be the ground for any therapeutic choice.
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- 2020
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29. Che cos’è una biblioteca, chi sono i bibliotecari: diario di un triennio intenso
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Vittorio Ponzani
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Bibliography. Library science. Information resources - Published
- 2020
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30. Pleomorphic lobular carcinoma: is it more similar to a classic lobular cancer or to a high-grade ductal cancer?
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Costarelli L, Campagna D, Ascarelli A, Cavaliere F, Colavito MH, Ponzani T, Broglia L, La Pinta M, Manna E, and Fortunato L
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Breast cancer ,lobular cancer ,Pleomorphic ,mastectomy ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Leopoldo Costarelli, Domenico Campagna, Alessandra Ascarelli, Francesco Cavaliere, Maria Helena Colavito, Tatiana Ponzani, Laura Broglia, Massimo La Pinta, Elena Manna, Lucio Fortunato Breast Unit, San Giovanni-Addolorata Hospital, Rome, Italy Background: Pleomorphic invasive lobular carcinoma (P-ILC) is an uncommon variety of invasive lobular carcinoma with aggressive clinical features. Little is described in the literature regarding this topic.Materials and methods: We reviewed our experiences from 2010 to 2015 and compared 40 patients with P-ILC, 126 patients with classic-ILC (C-ILC) and 574 cases of high-grade invasive ductal carcinoma (HG-IDC). We studied the histologic and immunohistochemical features, clinical presentation and surgical treatment.Results: P-ILC is diagnosed at the same age and tumor diameter as those of the other two histologic types. It is associated more frequently with multiple lymph node metastases and high proliferative index, and HER2/neu is amplified in 10% of cases. In spite of sharing some histologic characteristics with C-ILC (same growth pattern, loss of E-cadherin expression, same genetic pathway), its clinical and pathologic features define an autonomous entity. Its surgical treatment is similar to those of C-ILC and HG-IDC.Conclusion: This is the first review comparing these three pathologic entities. Our findings may be useful in understanding this variety of invasive lobular carcinoma, and further studies are certainly needed in this field. Keywords: breast cancer, lobular cancer, pleomorphic, mastectomy
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- 2017
31. Intelligenza Artificiale nella comunicazione scientifica: Opportunità e sfide per le biblioteche biomediche.
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BARBARO, ANNARITA, PIZZARELLI, SCILLA, and PONZANI, VITTORIO
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Even though the applications of artificial intelligence (Al) based tools in biomedical libraries are currently limited to some ongoing experiments, in this article we aim to present an overview of its possible implications on scientific communication and on the role of biomedical librarians, formulating some hypotheses for the future. This contribution is organized into three sections. The first one deals with the possible applications and impact of artificial intelligence on the biomedical librarian profession. The second analyses possible applications of Al in relation to open science and open publishing. The third, more narrowly focused, section analyses in detail the main applications of artificial intelligence on PubMed, with special emphasis on the automation of the indexing process, with all of its associated strengths and weaknesses. [ABSTRACT FROM AUTHOR]
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- 2024
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32. Clinical inertia is the enemy of therapeutic success in the management of diabetes and its complications: a narrative literature review
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Andreozzi, F., Candido, R., Corrao, S., Fornengo, R., Giancaterini, A., Ponzani, P., Ponziani, M. C., Tuccinardi, F., and Mannino, D.
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- 2020
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33. Predictors of treatment response to liraglutide in type 2 diabetes in a real-world setting
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Simioni, N., Berra, C., Boemi, M., Bossi, A. C., Candido, R., Di Cianni, G., Frontoni, S., Genovese, S., Ponzani, P., Provenzano, V., Russo, G. T., Sciangula, L., Lapolla, A., Bette, C., Rossi, M. C., and ReaL (NN2211-4118) Study Group*
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- 2018
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34. Long-Term Effectiveness of Liraglutide for Treatment of Type 2 Diabetes in a Real-Life Setting: A 24-Month, Multicenter, Non-interventional, Retrospective Study
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Lapolla, Annunziata, Berra, Cesare, Boemi, Massimo, Bossi, Antonio Carlo, Candido, Riccardo, Di Cianni, Graziano, Frontoni, Simona, Genovese, Stefano, Ponzani, Paola, Provenzano, Vincenzo, Russo, Giuseppina T., Sciangula, Luigi, Simioni, Natalino, Bette, Cristiano, Nicolucci, Antonio, and On behalf of the NN2211-4118 Study Group
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- 2018
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35. Letteratura professionale italiana, a cura di Vittorio Ponzani
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Vittorio Ponzani
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Bibliography. Library science. Information resources - Published
- 2019
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36. Il riconoscimento della figura professionale del bibliotecario e la nuova edizione della UNI 11535.
- Author
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Ponzani, Vittorio, Manoni, Paola, and Mazzola Merola, Giovanna
- Abstract
Copyright of AIB Studi is the property of Associazione Italiana Biblioteche and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
37. LETTERATURA PROFESSIONALE ITALIANA.
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Olivotto, Federica and Ponzani, Vittorio
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- 2023
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38. Letteratura professionale italiana, a cura di Vittorio Ponzani
- Author
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Vittorio Ponzani
- Subjects
Bibliography. Library science. Information resources - Published
- 2018
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39. L’alfabetizzazione sanitaria: biblioteche e bibliotecari per il benessere dei cittadini
- Author
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Vittorio Ponzani
- Subjects
health literacy ,information literacy ,hospital libraries ,Bibliography. Library science. Information resources - Abstract
L’alfabetizzazione sanitaria è la capacità di ottenere, elaborare e capire informazioni sanitarie, in modo tale da partecipare attivamente, insieme ai medici, al processo decisionale per quanto riguarda la propria salute. Le biblioteche e i bibliotecari svolgono un ruolo importante nella promozione della health literacy e nella realizzazione di strumenti informativi che permettano ai cittadini di accedere a informazioni certificate e di qualità, scritte in un linguaggio molto chiaro e facilmente comprensibile anche dai cittadini senza una adeguata alfabetizzazione sanitaria.
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- 2018
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40. Letteratura professionale italiana, a cura di Vittorio Ponzani
- Author
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Vittorio Ponzani
- Subjects
Bibliography. Library science. Information resources - Published
- 2017
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41. Letteratura professionale italiana, a cura di Vittorio Ponzani
- Author
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Vittorio Ponzani
- Subjects
Bibliography. Library science. Information resources - Published
- 2016
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42. Letteratura professionale italiana, a cura di Vittorio Ponzani
- Author
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Vittorio Ponzani
- Subjects
Bibliography. Library science. Information resources - Published
- 2015
- Full Text
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43. Outcomes with Finerenone in Participants with Stage 4 CKD and Type 2 Diabetes
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Sarafidis, Pantelis, Agarwal, Rajiv, Pitt, Bertram, Wanner, Christoph, Filippatos, Gerasimos, Boletis, John, Tuttle, Katherine R., Ruilope, Luis M., Rossing, Peter, Toto, Robert, Anker, Stefan D., Liu, Zhi-Hong, Joseph, Amer, Ahlers, Christiane, Brinker, Meike, Lawatscheck, Robert, Bakris, George, Aizenberg, Diego, Bartolacci, Inés, Besada, Diego, Bittar, Julio, Chahin, Mariano, Elbert, Alicia, Gelersztein, Elizabeth, Liberman, Alberto, Maffei, Laura, Manghi, Federico Pérez, Sanabria, Hugo, Vallejos, Augusto, Viñes, Gloria, Wassermann, Alfredo, Abhayaratna, Walter, Acharya, Shamasunder, Ekinci, Elif, Lee, Darren, MacIsaac, Richard, Mah, Peak Mann, Nelson, Craig, Packham, David, Pape, Alexia, Roger, Simon, Stephenson, Hugo, Suranyi, Michael, Wittert, Gary, Vale, Elizabeth, Colman, Peter, Colquhoun, David, Ellis, Chris, Joshua, Kim, Pedagogos, Eugenia, Regal, Paul, Topliss, Duncan, Vandeleur, James, Verjans, Johan, Wittert, Gary, Wynne, Katie-Jane, Clodi, Martin, Ebenbichler, Christoph, Fliesser-Görzer, Evelyn, Hanusch, Ursula, Krebs, Michael, Lhotta, Karl, Ludvik, Bernhard, Mayer, Gert, Neudorfer, Peter, Paulweber, Bernhard, Prager, Rudolf, Preiß, Wolfgang, Prischl, Friedrich, Schernthaner, Gerit-Holger, Sourij, Harald, Wiesholzer, Martin, Drexel, Heinz, Oberbauer, Rainer, Schönherr, Hans-Robert, Doubel, Peter, Engelen, Wendy, Gillard, Pieter, Hougardy, Jean-Michel, Krzesinski, Jean-Marie, Maes, Bart, Speeckaert, Marijn, Stas, Koen, van Gaal, Luc, Vanbelleghem, Hilde, Duyck, Francis, Scheen, André, Antunes, Daniela, Botelho, Roberto, Brito, Claudia, Canani, Luis, Canziani, Maria Eugenia, Cerqueira, Maria, de Paula, Rogerio, Eliaschewitz, Freddy, Figueiredo, Carlos Eduardo, Forti, Adriana, Hissa, Miguel, Leite, Emerson Lima Maurilo, Noronha, Irene, Paolino, Bruno, Paschoalin, Nathalia, Paschoalin, Raphael, Filho, Roberto Pecoits, Pereira, Marcio, Portes, Evandro, Precoma, Dalton, Rea, Rosangela, Riella, Miguel, Salles, Joao Eduardo, Vasconcellos, Eduardo, Vencio, Sergio, Bacci, Marcelo, Maia, Lilia, Villacorta, Aline, Apostolova, Emiliya, Boshnyashka, Radostina, Farah, Ghassan, Georgiev, Dimitar, Gushterova, Valentina, Klyuchkova, Neli, Lucheva, Mariya, Manova, Petya, Minkova, Dotska, Nonchev, Boyan, Pichmanova, Mariyana, Prakova, Zhulieta, Rangelov, Rangel, Rashkov, Rosen, Stanchev, Pavel, Stoyanovska-Elencheva, Bilyana, Tagarev, Zhivko, Temelkova-Kurktschieva, Theodora, Vasileva, Svetla, Yoncheva-Mihaylova, Mariana, Marinchev, Angel, Miteva, Mariya, Barre, Paul, Carlson, Brian, Conway, James, Cournoyer, Serge, Dumas, Richard, Fikry, Sameh, Goluch, Richard, Hamet, Pavel, Hart, Randolph, Henein, Sam, Liutkus, Joanne, Madore, Francois, Martinho, Valdemar, Mazza, Giuseppe, McFarlane, Philip, Keefe, Dennis O′, Peterson, Sean, Schwartz, Daniel, Shu, Daniel, Steele, Andrew, Tellier, Guy, Tennankore, Karthik, Tobe, Sheldon, Tsoukas, George, Tytus, Richard, Vitou, Louise, Walsh, Michael, Weisnagel, Stanley, Wilderman, Igor, Yale, Jean-Francois, El Boreky, Fadia, Kelly, Alan, Leiter, Lawrence, Teitelbaum, Ivor, Cobos, Jorge, Godoy, Juan, González, Fernando, Lobos, Sergio, Palma, Juan Carlos, Prieto Dominguez, Juan Carlos, Reyes, Eliana, Romero, Carmen, Saavedra, Victor, Vega, Mario, Medina, Marcelo, Varleta, Paola, Bu, Ruifang, Cai, Hanqing, Chen, Nan, Chen, Qinkai, Chen, Dejun, Cheng, Jinluo, Dong, Youping, Dong, Junwu, Guan, Tianjun, Hao, Chuanming, Huang, Wen, Jiang, Fangfang, Lei, Minxiang, Li, Ling, Li, Zhonghe, Li, Xuemei, Li, Jingmei, Li, Yan, Liang, Xinling, Liang, Bo, Liu, Fang, Liu, Yinghong, Liu, Yuantao, Liu, Zhihong, Long, Gang, Lu, Guoyuan, Lu, Weiping, Lu, Yibing, Luo, Ping, Ma, Jianhua, Mo, Zhaohui, Niu, Jianying, Peng, Ai, Shen, Jiansong, Shen, Feixia, Shi, Bingyin, Su, Qing, Sun, Zhuxing, Tang, Shuifu, Tong, Nanwei, Wang, Hao, Wang, Xinjun, Wang, Guixia, Wang, Jianqin, Wang, Yangang, Wang, Li, Wei, Jiali, Wu, Tianfeng, Wu, Chaoqing, Xing, Changying, Xiong, Fei, Xu, Xudong, Xu, Ning, Yan, Tiekun, Yang, Jinkui, Yin, Aiping, Zeng, Longyi, Zhang, Hao, Zhang, Yanlin, Zhang, Ying, Zhao, Wenjing, Zhao, Zhiquan, Zheng, Hongguang, Zhong, Ling, Zhu, Dalong, Zhuang, Yongze, Du, Yuming, Fang, Yi, Guo, Weiying, Jiang, Sheng, Kuang, Jian, Li, Dongmei, Li, Hongmei, Li, Yinan, Li, Yuxiu, Liu, Jian, Liu, Yu, Miao, Heng, Peng, Wen, Wang, Lihua, Xu, Mingtong, Zhong, Liyong, Zhu, Jun, Arango, Clara, Barrera, Sandra, López, Nelly Beltrán, Benitez, Diego, Blanco, Guillermo, Cadena, Andrés, Coronel, Julian, Cure, Carlos, Durán, Carlos, González, Alexander, Guzmán, Gustavo, Hernández, Eric, Ibarra, Jaime, Jaramillo, Carlos, Jaramillo, Nicolás, Kattah, William, Molina, Dora, Sánchez, Gregorio, Terront, Mónica, Trujillo, Freddy, Urina, Miguel, Vargas, Ruben, Villegas, Iván, Yupanqui, Hernán, Arcos, Edgar, Aroca, Gustavo, Barreto, Germán, Bermudez, Andres, Botero, Rodrigo, Cárdenas, Tatiana, Figueroa, Wilmer, Jaramillo, Mónica, Liévano, Manuel, López, Mónica, Molina, Dora, Rosero, Ricardo, Trillos, Pedro, Alferi, Dino, Brada, Michal, Brezina, Jiri, Bucek, Petr, Edelsberger, Tomas, Gulakova, Drahomira, Zapletalova, Jitka Hasalova, Hola, Olga, Hornova, Lucie, Houdova, Jana, Hrmova, Helena, Karasek, David, Kopecka, Sarka, Kovar, Richard, Krcova, Eva, Kuchar, Jiri, Kutejova, Vlasta, Lubanda, Hana, Matyasek, Ivo, Mokrejsova, Magdalena, Okenka, Libor, Prazny, Martin, Pumprla, Jiri, Tomanek, Pavel, Andersen, Ulla, Andries, Alin, Bech, Jesper, Faber, Jens, Gislason, Gunnar, Hangaard, Jørgen, Pacyk, Grzegorz Jaroslaw, Juhl, Claus, Krarup, Thure, Lindhardt, Morten, Madsbad, Sten, Nielsen, Joan, Pedersen-Bjergaard, Ulrik, Poulsen, Per, Rasmussen, Ole, Rossing, Peter, Schousboe, Karoline, Gram, Jeppe, Lauridsen, Thomas, Pedersen, Erling, Thorsteinsson, Birger, Flöjt, Päivi, Honkasalo, Mikko, Honkasalo, Mikko, Humaloja, Kari, Kananen, Kristiina, Kantola, Ilkka, Koistinen, Arvo, Korsoff, Pirkko, Lahtela, Jorma, Nieminen, Sakari, Nieminen, Tuomo, Sadeharju, Karita, Strand, Jorma, Sulosaari, Sakari, Cariou, Bertrand, Chantrel, François, Clavel, Sylvaine, Combe, Christian, Fauvel, Jean-Pierre, Gallouj, Karim, Gouet, Didier, Guerci, Bruno, Guerrot, Dominique, Hourmant, Maryvonne, Klein, Alexandre, Mariat, Christophe, Marre, Michel, Mesbah, Rafik, Le Meur, Yannick, Monier, Arnaud, Moranne, Olivier, Roussel, Ronan, Serusclat, Pierre, Vendrely, Benoit, Verges, Bruno, Zaoui, Philippe, Axthelm, Christoph, Bergmann, Andreas, Birkenfeld, Andreas L., Braun, Hermann, Busch, Klaus, Contzen, Christel, Degenhardt, Stefan, Derwahl, Karl, Giebel, Thomas, Hagenow, Andreas, Haller, Hermann, Hasslacher, Christoph, Horacek, Thomas, Jungmair, Wolfgang, Kloos, Christof, Koch, Thorsten, Krüger, Thilo, Mühlfeld, Anja, Müller, Joachim, Pfützner, Andreas, Pistrosch, Frank, Rinke, Andrea, Rose, Ludger, Rump, Lars, Schettler, Volker, Schiefke, Ingolf, Schlichthaar, Heike, Schröppel, Bernd, Schöll, Norbert, Schubert, Kristin, Schürholz, Thomas, Sigal, Helena, Stemler, Lutz, Strack, Georg, Täschner, Heidrun, Toursarkissian, Nicole, Tschöpe, Diethelm, Ulmer, Achim, van der Giet, Markus, Wanner, Christoph, Winkelmann, Bernhard R., Boletis, Ioannis, Dimitriadis, George, Hatziagelaki, Erifili, Iatrou, Christos, Ioannidis, Ioannis, Kounadi, Theodora, Makriniotou, Ioanna, Papadopoulou, Dorothea, Papagianni, Aikaterini, Passadakis, Ploumis, Piaditis, George, Stefanidis, Ioannis, Ip, Tai Pang, Lee, Paul, Andrea Luk, On Yan, Ma, Ronald, Chow, Wing Sun, Wang, Angela, Yeung, Vincent, Bajcsi, Dora, Danos, Peter, Harcsa, Eleonora, Kalina, Akos, Kazup, Szilvia, Keltai, Katalin, Kirschner, Robert, Kiss, Julianna, Kovacs, Laszlo, Lamboy, Beata, Literati-Nagy, Botond, Mileder, Margit, Nagy, Laszlo, Noori, Ebrahim, Nyirati, Gabor, Petro, Gizella, Schneider, Karoly, Simon, Judit, Szocs, Albert, Vasas, Szilard, Wudi, Krisztina, Zilahi, Zsolt, Zsom, Marianna, Eustace, Joe, Holian, John, Reddan, Donal, Meara, Yvonne O′, Abramof Ness, Rosane, Adawi, Faiad, Armaly, Zaher, Atar, Shaul, Bashkin, Amir, Ben Chetrit, Sydney, Yanay, Noa Berar, Chernin, Gil, Darawsha, Mahmud, Efrati, Shai, Elias, Mazen, Farber, Evgeny, Glandt, Mariela, Grossman, Ehud, Halabi, Majdi, Harman-Boehm, Ilana, Khazim, Khaled, Liberty, Idit, Minuchin, Oscar, Mosenzon, Ofri, Nakhoul, Farid, Nimer, Assy, Schwartz, Doron, Wainstein, Julio, Yagil, Yoram, Zukermann, Robert, Avogaro, Angelo, Battaglia, Giovanni Giorgio, Bevilacqua, Maurizio Tiziano, Bonora, Enzo, Bossi, Carlo Antonio, Calabrò, Paolo, Cavalot, Franco Luigi, Cimino, Roberto, Cozzolino, Mario Gennaro, David, Salvatore, Emdin, Michele, Fiaccadori, Enrico, Fiorina, Paolo, Giorda, Carlo Bruno, Gregorini, Maria Cristina, La Manna, Gaetano, Maggi, Davide Carlo, Manti, Roberta, Meregalli, Giancarla, Pani, Antonello, Parvanova, Aneliy Ilieva, Perico, Norberto, Piatti, PierMarco, Pisani, Antonio, Pontiroli, Antonio Ettore, Ponzani, Paola, Santorelli, Gennaro, Santoro, Domenico, Scanziani, Renzo, Teatini, Ugo, Tonolo, Giancarlo, Trevisan, Roberto, Veronelli, Anna Maria, Viviani, Giorgio Luciano, Araki, Hideo, Bando, Yukihiro, Ebisui, Osamu, Fujita, Naruhiro, Fukasawa, Hirotaka, Furuya, Ryuichi, Hamamoto, Yoshiyuki, Hamasaki, Akihiro, Hasegawa, Kotaro, Hatazaki, Masahiro, Hayashi, Terumasa, Higashi, Takayuki, Hirohata, Yoshihide, Horinouchi, Shuji, Hoshi, Ayumu, Imoto, Hirofumi, Inagaki, Akemi, Inagaki, Masayuki, Inaguma, Daijo, Inoue, Toshihiko, Ishii, Masao, Ishiko, Tamayo, Isono, Motohide, Jinnouchi, Hideaki, Kanai, Hidetoshi, Kanda, Daisuke, Kanehara, Hideo, Kashima, Masayuki, Kataoka, Yuko, Katayama, Shigehiro, Kato, Kiyoe, Katsuki, Takeshi, Kawamitsu, Katsunori, Kawasaki, Satsuki, Kikuchi, Fumi, Kikuchi, Hidetoshi, Kishimoto, Rui, Kobayashi, Kunihisa, Koide, Junko, Komi, Rieko, Kubota, Miyuki, Kuriya, Genpei, Kurose, Takeshi, Kusano, Yoshiro, Hajime, Maeda, Matsubayashi, Sunao, Matsumoto, Kazunari, Matsumura, Naoya, Matsuo, Yasuto, Matsuoka, Naoki, Miyaoka, Hiroaki, Miyata, Satoshi, Morita, Takeshi, Murakami, Isao, Murao, Satoshi, Nakamura, Udai, Nakayama, Mikihiro, Nakazawa, Jun, Nohara, Sakae, Nomiyama, Takashi, Noritake, Masayuki, Oda, Yoshiaki, Ogiwara, Takayuki, Ohashi, Hiroshi, Okamoto, Hideki, Okino, Shinichi, Osonoi, Takeshi, Sasaki, Nobuhiro, Sayo, Yoshitaka, Sekigami, Taiji, Shibasaki, Taro, Shibata, Hirotaka, Shimoyama, Tatsushi, Shinoda, Junji, Sobajima, Hiroshi, Sugitatsu, Kazuya, Sugiura, Toshiyuki, Sugiyama, Toru, Suzuki, Daisuke, Suzuki, Hiroyuki, Suzuki, Masaaki, Takeda, Asami, Tanaka, Asami, Tanaka, Seiichi, Tsunematsu, Izumi, Ueda, Yasuo, Uekihara, Soichi, Ujihara, Makoto, Yajima, Ken, Yamada, Daishiro, Yamada, Masayo, Yamagata, Kazuo, Yamakawa, Ken, Yamakawa, Fumiko, Yamasaki, Yoshimitsu, Yambe, Yuko, Yanagida, Taihei, Yanai, Hidekatsu, Yanase, Toshihiko, Yasuda, Tetsuyuki, Kriauciuniene, Dovile, Lasiene, Jurate, Navickas, Antanas, Radzeviciene, Lina, Urbanaviciene, Egle, Urbonas, Gediminas, Velaviciene, Audrone, Abd Ghani, Rohana, Aziz, Nor Azizah, Lee, Li Yuan, Loh, Chek Loong, Ali, Norhaliza Mohd, Noor, Nurain Mohd, Fatnoon Nik Ahmad, Nik Nur, Ratnasingam, Jeyakantha, Halimi Bin Wan Hasan, Wan Hasnul, Izani Wan Mohamed, Wan Mohd, Khir, Rizmy Najme, Mohamad, Masni, Alexander Tan, Tong Boon, Avila Pardo, Sandro, Adrian, Miriam Bastidas, Wong, Alfredo Chew, Escobedo de la Peña, Jorge, Salmón, Guillermo Fanghänel, Gálvez, Guillermo González, Ochoa, Ramiro Gutiérrez, Santana, Saúl Irizar, Rovalo, Magdalena Madero, Machado, Gustavo Méndez, Ruiz, Luis Nevarez, Ibarra, Denisse Ramos, López, Gabriel Ramos, Reyna, Leobardo Sauque, Ortiz, Gustavo Solache, Ortiz, Rafael Valdez, Mesa, Juan Villagordoa, Salazar, Melchor Alpizar, Hernández, Pedro García, González, José, Soto, José Lazcano, Mendoza, Arturo Saldaña, Santana, Sergio Irizar, Vilchis, Elvira González, Bakker, R.C., Barendregt, J.N.M., Boonstra, A.H., Bos, Willem, Brouwer, C.B., Buren, M. van, Gansevoort, Ron, Kooy, Adriaan, Krekels, Marielle, Leendert, Ruud J.M. van, Lieverse, Louis A.G., Luik, P.T., Penne, E. Lars, Gregoor, Peter Smak, Vogt, Liffert, Born, Bert-Jan van den, Baker, John, Crawford, Veronica, Cutfield, Rick, Dunn, Peter, Krebs, Jeremy, Nirmalaraj, Kingsley, Scott, Russell, Smuts, Nine, Titchener, Janet, Eriksen, Erik, Finnes, Trine, Høivik, Hans, Karlsson, Thomas, Munk, Peter Scott, Radtke, Maria, Risberg, Knut, Rocke, Jan, Solnør, Leidulv, Stenehjem, Aud-Eldrid, Tafjord, Anne-Beathe, Asprusten, Emil, Hagemeier, Robert, Høye, Kjetil, Selsås, Hilde, Thorup, Frode, Wium, Cecilie, Pamugas, Glenda, Panelo, Araceli, Perez, Ronald, Tanque, Maribel, Tirador, Louie, Villa, Michael, Bautista, Albert, Catindig, Elizabeth, Manalo, Carlo, Mirasol, Roberto, Butrymowicz, Patrycja, Ciechanowski, Kazimierz, Cieslik, Grazyna, Franek, Edward, Gumprecht, Janusz, Hoffmann, Michal, Krzykowska, Jolanta, Kurnatowska, Ilona, Landa, Katarzyna, Madrzejewski, Adam, Madziarska, Katarzyna, Mazur, Stanislaw, Napora, Piotr, Nowicki, Michal, Ocicka-Kozakiewicz, Anna, Rewerska, Barbara, Rusicka, Teresa, Ruxer, Jan, Skokowska, Ewa, Stankiewicz, Andrzej, Stompor, Tomasz, Tiuryn-Petrulewicz, Agnieszka, Wasilewska, Katarzyna, Wierusz-Wysocka, Bogna, Wnetrzak-Michalska, Renata, Jedynasty, Krystyna, Anand, Izabela Sein, Almeida, Edgar, Ballesteros, Rosa, Barreto, Carlos, Beirao, Idalina, Birne, Rita, Esteves, Cesar, Guia, Jose, Heitor, Susana, Marques, Olinda, Melo, Pedro, Nolasco, Fernando, Pereira, Amalia, Roque, Cristina, Rosario, Francisco, Silva, Gil, Silva, Ana, Teixeira e Costa, Fernando, Lobos, Ana Vila, Alves, Ana Rita, Brandao, Ilidio, Carvalho, Rui, Coelho, Joao, Lourenco, Ana, Matos, Pedro, Rosario, Vanisa, Neves, Joao Sergio, Cortes-Maisonet, Gregorio, Roman-Miranda, Amaury, Brito-Peguero, Yudit, Colon-Vega, Gildred, Albota, Adrian, Bala, Cornelia, Barbonta, Hortensia, Caceaune, Elena, Catrinoui, Doina, Constantin, Ciprian, Dumitrescu, Adriana, Mindrescu, Nicoleta, Mistode, Cristina, Negrisanu, Gabriela, Onaca, Adriana, Paveliu, Silvia, Pintilei, Ella, Pop, Lavinia, Popa, Amorin, Popescu, Alexandrina, Radulian, Gabriela, Szilagyi, Iosif, Turcu, Liana, Vacaru, Georgeta, Vlad, Adrian, Filimon, Adriana, Veresiu, Ioan, Antsiferov, Mikhail, Arkhipov, Mikhail, Babkin, Andrey, Barbarash, Olga, Baranov, Vitaliy, Chernyavskaya, Elena, Demko, Arkadiy, Dreval, Alexander, Edin, Anton, Ermakova, Polina, Fadeev, Valentin, Galyavich, Albert, Gaysina, Leyla, Gordeev, Ivan, Ipatko, Irina, Kalashnikova, Marina, Khalimov, Yuriy, Klimontov, Vadim, Kobalava, Zhanna, Kosmacheva, Elena, Koziolova, Natalya, Sergey Levashov, Lyudmila Kvitkova, Libis, Roman, Marasaev, Vyacheslav, Malykh, Natalia, Martynenko, Vladimir, Malyutina, Sofya, Merai, Imad, Mkrtumyan, Ashot, Nechaeva, Galina, Petunina, Nina, Palyutin, Shamil, Pimenov, Leonid, Rechkova, Elena, Rodionova, Tatyana, Rymar, Oksana, Sardinov, Ruslan, Semenova, Olga, Sherenkov, Alexander, Solovev, Oleg, Smolyarchuk, Elena, Strongin, Leonid, Ukhanova, Olga, Verlan, Nadezhda, Vorokhobina, Natalya, Yakhontov, Davyd, Yakushin, Sergey, Zakharova, Elena, Zalevskaya, Alsu, Zanozina, Olga, Zhdanova, Elena, Zhukova, Larisa, Zykova, Tatyana, Argunova, Yulia, Nikolaev, Konstantin, Villevalde, Svetlana, Fang Sum, Chee, Suhail, Sufi Muhummad, San Tan, Ru, Vathsala, Anantharaman, Wong, Edmund, Bee, Yong Mong, Babikova, Jana, Buganova, Ingrid, Dzupina, Andrej, Ochodnicka, Zuzana, Sosovec, Dalibor, Spodniakova, Denisa, Minarik, Peter, Ahmed, Fayzal, Amod, Aslam, Bhana, Sindeep, Distiller, Larry, Jansen van Rensburg, Dirkie, Joshi, Mukesh, Joshi, Shaifali, Lakha, Deepak, Mitha, Essack, Podgorski, Gracjan, Ranjith, Naresh, Rayner, Brian, Rheeder, Paul, Sarvan, Mohamed, Seeber, Mary, Siebert, Heidi, Tayob, Mohammed, Trokis, Julien, Urbach, Dorothea, van Zyl, Louis, Jansen van Rensburg, Dirkie, Choi, Bum-Soon, Choi, Moon Gi, Chung, ChoonHee, Hwang, YouCheol, Kim, ChongHwa, Kim, InJoo, Kim, JaeHyeon, Kim, SinGon, Kim, SungGyun, Kim, Tae Hee, Lee, WooJe, Lee, ByungWan, Lee, Kang Wook, Oh, Kook-Hwan, Oh, Ji Eun, Oh, Yun Kyu, Oh, Dong-Jin, Park, Junbeom, Shin, Seok Joon, Sung, Su-Ah, Yu, Jae Myung, Chung, HyeSoo, Huh, Ji Hye, Kang, JunGoo, Kim, ChulSik, Kim, HyeSoon, Kim, NamHoon, Lim, Soo, Cho, Young Min, Park, Cheol Young, Agraz, Irene, Ampudia, Francisco Javier, Bouarich, Hanane, Calero, Francesca, Castro, Cristina, Guldris, Secundino Cigarrán, Garrit, Josep Cruzado, de Álvaro, Fernando, Galcerán, Josep, Albarrán, Olga González, Jaras, Julio Hernández, Ibernón, Meritxell, Deben, Francisco Martínez, Ma, Esteban, Dolores Martínez, Pascual Izuel, José María, Martins, Judith, Mediavilla, Juan, Michán, Alfredo, Santos, Julio Pascual, Poch, Esteban, Rusillo, Manuel Polaina, Juan, Carlos Sánchez, Olmo, Rafael Santamaría, Segura de la Morena, José Julián, Soto, Alfonso, Troya, Maribel, Castro, Fernando Cereto, Fernández, Pablo Gómez, Sánchez, Laura Fuentes, Moya, Mercedes González, Marrero, Domingo Hernández, Maroto, Gonzalo Piedrola, Redón, Josep, Seron, Daniel, Bruchfeld, Annette, Curiac, Dan, Eliasson, Ken, Frank, Malin, Guron, Gregor, Hellberg, Olof, Hellgren, Margareta, Larnefeldt, Hans, Lindholm, Carl-Johan, Löndahl, Magnus, Rein-Hedin, Erik, Soveri, Inga, Spaak, Jonas, Tengmark, Bengt-Olov, Lif-Tiberg, Cornelia, Månflod, Johan, Nguyen, Han, Ackermann, Daniel, Bilz, Stefan, Burnier, Michel, Forster, Christian, Kalbermatter, Stefan, Kistler, Andreas, Pechère-Bertschi, Antoinette, Schultes, Bernd, Laimer, Markus, Rudofsky, Gottfried, Strey, Christopher, Wuerzner, Gregoire, Chang, Chiz-Tzung, Hung, Cheng-Chieh, Jiang, Ju-Ying, Lee, Chien-Te, Lin, Shuei-Liong, Tarng, Der-Cherng, Tu, Shih-Te, Wu, Mai-Szu, Wu, Ming-Ju, Chuang, Lee-Ming, Deerochanawong, Chaicharn, Kitiyakara, Chagriya, Ophascharoensuk, Vuddhidej, Pongchaiyakul, Chatlert, Satirapoj, Bancha, Kosachunhanan, Natapong, Sritara, Piyamitr, Eren, Necmi, Gul, Ibrahim, Gulel, Okan, Kocyigit, Ismail, Kumbasar, Abdulbaki, Sahin, Idris, Sari, Ramazan, Sayin, Burak, Tavli, Talat, Ustundag, Sedat, Yenicerioglu, Yavuz, Badak, Ozer, Cayli, Murat, Oguz, Aytekin, Ozdogan, Oner, Sari, Ibrahim, Temizhan, Ahmet, Tigen, Mustafa, Turk, Ugur, Yilmaz, Huseyin, Yilmaz, Mehmet, Bondarets, Iryna, Botsyurko, Volodymyr, Chernikova, Viktoriia, Donets, Oleksandra, Fushtey, Ivan, Grachova, Mariia, Isayeva, Anna, Kogut, Dmytro, Komisarenko, Julia, Kravchun, Nonna, Malyar, Kateryna, Mankovsky, Borys, Martynyuk, Liliya, Maslyanko, Vitaliy, Myshanych, Halyna, Pererva, Larysa, Pertseva, Nataliia, Serhiyenko, Oleksandr, Smirnov, Ivan, Sokolova, Liubov, Stryzhak, Vasyl, Vlasenko, Maryna, Isayeva, Ganna, Larin, Oleksandr, AbouSaleh, Ahmad, Barratt, Jonathan, Dang, Cuong, Kahal, Hassan, Kirk, Adam, Kilvert, Anne, Kon, Sui Phi, McCafferty, Kieran, Patel, Dipesh, Rice, Sam, Vijayaraman, Arutchelvam, Wong, Yuk-ki, Gibson, Martin, Wahba, Mona, Zaidi, Reza, Bilous, Rudy, Johnson, Andrew, Kalathil, Dhanya, Kilvert, Anne, Kyriakidou, Christina, Mathew, Amit, Mukhtar, Rasha, Munsoor, Imrozia, Poterajlo, Anton, Swift, Pauline, Acosta, Idalia, Adams, Atoya, Adler, Sharon, Ajani, Dilawar, Ali, Slamat, Alicic, Radica, Al-Karadsheh, Amer, Alla, Sreedhara, Allison, D., Andrawis, Nabil, Arif, Ahmed, Awad, Ahmed, Azizad, Masoud, Bahrami, Michael, Bansal, Shweta, Barag, Steven, Barakzoy, Ahmad, Barney, Mark, Barzilay, Joshua, Bashir, Khalid, Bautista, Jose, Beddhu, Srinivasan, Belo, Diogo, Benjamin, Sabrina, Berenji, Ramin, Bhargava, Anuj, Birriel, Jose, Brietzke, Stephen, Brosius, Frank, Brusco, Osvaldo, Burgner, Anna, Busch, Robert, Canadas, Rafael, Caramori, Maria, Cardona, Jose, Case, Christopher, Cruz, Humberto, Dandillaya, Ramprasad, Dawoud, Dalia, Din, Zia, Dixon, Bradley, Doshi, Ankur, Drakakis, James, El Shahawy, Mahfouz, El-Meanawy, Ashraf, El-Shahawy, Mohammed, Evans, John, Fadda, George, Farooq, Umar, Fernando, Roland, Fink, Raymond, First, Brian, Fitz-Patrick, David, Flack, John, Fluck, Patrick, Fogelfeld, Leon, Fonseca, Vivian, Frias, Juan, Galphin, Claude, Garcia-Mayol, Luis, Goldstein, Gary, Gonzalez, Edgar, Gonzalez-Abreu, Francisco, Gore, Ashwini, Grant, David, Habwe, Violet, Hamilton, Maxine, Hammoud, Jamal, Handelsman, Stuart, Hartman, Israel, Heigerick, Glenn, Henry, Andrew, Hernandez, German, Hernandez-Cassis, Carlos, Herrera, Carlos, Hertel, Joachim, Huang, Wenyu, Iglesias, Rogelio, Iranmanesh, Ali, Jackson, Timothy, Jain, Mahendra, Jamerson, Kenneth, Johnson, Karen, Judd, Eric, Kaplan, Joshua, Kayali, Zeid, Khan, Bobby, Khan, Muhammad, Kharait, Sourabh, Kirkman, M. Sue, Kopyt, Nelson, Kotzker, Wayne, Kovesdy, Csaba, Kreit, Camil, Krishna, Arvind, Kronfli, Saeed, Lee, Keung, LeJeune, Derek, Lemus, Brenda, Leon-Forero, Carlos, Linfert, Douglas, Lora, Henry, Lurie, Alexander, Maddukuri, Geetha, Magno, Alexander, Maletz, Louis, Mandayam, Sreedhar, Markell, Mariana, Mayfield, Ronald, Mbogua, Caroline, McMullen, Dierdre, Meisner, Carl, Minton, Stephen, Mocherla, Bharat, Mohandas, Rajesh, Montero, Manuel, Moustafa, Moustafa, Nadkarni, Salil, Nakhle, Samer, Navarro, Jesus, Neyra, Nilda, Nica, Romanita, Nicol, Philip, Norwood, Paul, Numrungroad, Visal, Donovan, Richard O′, Odugbesan, A., Paoli-Bruno, Jorge, Parikh, Samir, Patel, Rakesh, Peixoto, Aldo, Pergola, Pablo, Perlman, Alan, Pettis, Karlton, Pisoni, Roberto, Ponduchi, Mirela, Posada, Jorge, Prabhakar, Sharma, Radhakrishnan, Jai, Rahman, Mahboob, Raina, Rupesh, Rastogi, Anjay, Reisin, Efrain, Rendell, Marc, Robertson, David, Rocco, Michael, Romeu, Hugo, Rosas, Sylvia, Rosenfeld, Jack, Ross, Dennis, Rothman, Jeffrey, Rudolph, Lance, Ruhullah, Yusuf, Ruoff, Gary, Ryu, Jeffrey, Sahani, Mandeep, Sam, Ramin, Samuels, Garfield, Sanchez, William, Santos, Vladimir, Satko, Scott, Saxena, Sanjeev, Scott, David, Seco, Gilberto, Seek, Melvin, Serota, Harvey, Shafi, Tariq, Shahid, Nauman, Shanik, Michael, Sharma, Santosh, Sinha, Arjun, Smelser, James, Smith, Mark, Soe, Kyaw, Solomon, Richard, Soroka, Eugene, Soufer, Joseph, Spinowitz, Bruce, Spry, Leslie, Suarez, Rosa, Subramanian, Bala, Szerlip, Harold, Tamirisa, Aparna, Thomson, Stephen, Tran, Tuan-Huy, Treger, Richard, Trullenque, Gretel, Turk, Thomas, Umpierrez, Guillermo, Urbach, Daniel, Valdes, Martin, Valika, Shujauddin, Vega, Damaris, Weissman, Peter, Whaley-Connell, Adam, Winston, Jonathan, Wise, Jonathan, Wynne, Alan, Zeig, Steven, Abdel-Rahman, Emaad, Abreu, Edel, Awad, Alaa, Bahri, Nader, Bertsch, John, Bleich, David, Bornfreund, Jonathan, Brar, Harjeet, Brian, Susan, Brinson, Cynthia, Bruschetta, Humberto, Carpio, Jose, Cohen, Steven, Cosby, John, Dhanireddy, Soni, Diaz, Jorge, Dunn, Fredrick, Eppanapally, Sabitha, Fayad, Joseph, Goel, Archana, Govindaraju, Kanakadurga, Halpern, Stephen, Jones, Audrey, Kaye, William, Knight, Herbert, Koch, Stanley, Kohli, Nandini, Lastra, Guido, Lerman, Sam, Loredo, Jorge, Lovre, Dragana, Mandviwala, Mustafa, Martin, Earl, Meyer, Jill, Murray, John, Oliver, David, Oparil, Suzanne, Penabad, Jesus, Pereira, Isabel, Popeil, Larry, Quesada, Gonzalo, Ramanathan, Kodangudi, Ramos-Gonez, Luis, Rastegar, Mandana, Rastogi, Padmashri, Rondon, Juan, Roy-Chaudhury, Prabir, Smith, David, Williamson, Don, Womack, Catherine, Yamout, Hala, Yuryev, Michael, Chu, Phuong, Van Hoang, Lam, Khanh, Tran, Phi Nga, Nguyen Thi, Son, Pham Nguyen, Tran, Lan Phuong, Le, Thuy Khuong, Nguyen, Boi Ngoc, Nguyen, Thao, Nui, Nguyen Minh, Nam, Tran Quang, and Tran, Kim Chi
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- 2023
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44. Letteratura professionale italiana, a cura di Vittorio Ponzani
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Vittorio Ponzani
- Subjects
Bibliography. Library science. Information resources - Published
- 2014
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45. letteratura professionale italiana.
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Ponzani, Vittorio
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- 2022
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46. Letteratura professionale italiana, a cura di Vittorio Ponzani
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Vittorio Ponzani
- Subjects
Bibliography. Library science. Information resources - Published
- 2013
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47. Patients With Serious Mental Illness Can Engage in Tobacco Treatment Trials and Tobacco Cessation Interventions During Cancer Treatment
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Steffens, Eleanor B., Park, Elyse R., Muzikansky, Alona, Streck, Joanna M., Ostroff, Jamie S., Rasmussen, Autumn W., Ponzani, Colin, Perez, Giselle K., Regan, Susan, Rigotti, Nancy A., and Irwin, Kelly E.
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- 2023
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48. Digital technology and healthcare delivery in insulin-treated adults with diabetes: a proposal for analysis of self-monitoring blood glucose patterns using a dedicated platform
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Irace, Concetta, Acmet, Elena, Cutruzzolà, Antonio, Parise, Martina, Ponzani, Paola, Scarpitta, Antonietta Maria, and Candido, Riccardo
- Abstract
Purpose: A remote platform for diabetes care (Roche Diabetes® Care Platform, RDCP) has been developed that allows combined face-to-face consultations and remote patient monitoring (RPM). Methods: A dedicated flowchart is proposed as a clinical approach to help healthcare professionals in the appropriate interpretation of structured self-monitoring blood glucose data, as visualized on the RDCP during the visits, and in the optimal management of patients using the integrated RDCP-RPM tools. Results: The platform organizes patterns in different blocks: (i) hypoglycemia; (ii) hyperglycemia; (iii) blood glucose variability; (iv) treatment adherence, which identifies a possible individual pattern according to glycemic control challenges, potential causal factors, and behavioral type patterns. The flowchart proposed for use of the RDCP-RPM is self-explanatory and entails 3 steps: (1) evaluation of quality and quantity of self-monitoring blood glucose data; (2) pattern analysis; (3) personalized suggestions and therapy changes. Conclusion: The main aim of the remote treatment flowchart proposed is to support healthcare professionals in the identification of hypoglycemic and hyperglycemic patterns using the RDCP regardless of the HbA
1c value and ongoing treatment, which however, become crucial in combination with pattern analysis in the therapeutical choice.- Published
- 2023
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49. Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes 11 Medical and Health Sciences 1103 Clinical Sciences
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A., Tonutti L., Venturini G., Andreani M., Turchi F., Fedrighelli F., Martinelli G., Rongioletti R., Candidi M., Pais M., Moro E., Cervellino F., Sinisi R., Zampino A., Mingardi R., Lora L., Reitano R., Stocchiero C., Simoncini M., Mesturino C. A., Zen F., Di Pietro S., Scoponi C., Tilaro L., Pelliccioni S., Slongo R., Vita E., Garofalo A., Vitale F., Campanella B., Mastrilli V., Borrelli T., D'Avino A., Perbellini A., Mirijello, A, Viazzi, F, Fioretto, P, Giorda, C, Ceriello, A, Russo, G, Guida, P, Pontremoli, R, De Cosmo, S, Cimino, A, Fava, D, Meloncelli, I, Nicolucci, A, Pellegrini, F, Rossi, M, Turco, S, Vespasiani, G, Graziano, G, Lucisano, G, Memmo, R, Pellicciotta, E, Paciotti, V, Pupillo, M, Armentano, G, Giovannini, C, Armentano, V, Laudato, M, Acquati, S, Ciardullo, A, Laffi, G, Felace, G, Taboga, C, Tortul, C, Santantonio, G, Suraci, C, Ghisoni, G, Raffa, M, Genovese, S, Lovagnini-Scher, C, Rampini, P, Rocca, A, Ruggeri, P, Tortato, E, Cotti, L, Cristofaro, M, Tagliaferri, M, Comoglio, M, Fornengo, R, Gentile, F, Gigante, A, Mastinu, F, Di Benedetto, A, Pata, P, Arcangeli, A, Orsini, P, Acler, P, De Blasi, G, Cicioni, G, Pocciati, S, Marangoni, A, Nogara, A, Lanero, M, Bertero, M, Damassino, R, Bergonzini, C, Schumtz, L, Seksich, L, Pipitone, A, Boaretto, M, Manfroi, I, Parmesan, L, Conte, B, Soccol, F, Pagano, A, Papini, E, Rinaldi, R, Petrucci, L, Graziano, F, Chianelli, M, Silvagni, S, Rosco, M, Ansaldi, E, Malvicino, F, Battezzati, M, Maresca, P, Palenzona, C, Boemi, M, Rabini, R, Brandoni, G, Lanari, L, Gatti, C, Testa, I, Cherubini, V, Doveri, G, Pecorelli, L, Ciccarelli, A, Gallardini, M, Courthoud, R, Sara Bredy, S, Ricciardi, G, Vitalone, G, Setti, D, Contrini, P, Corsi, A, Ghigliotti, V, Oddone, G, Ponzani, P, Valbonesi, G, Mazzini, V, Di Berardino, P, Colleluori, P, Montani, V, Trosini, V, Velussi, M, Alfidi, P, Verdecchia, B, Baliva, L, Di Pietro, A, Franchi, G, Luce, R, Pianta, A, Ferrari, M, Balzano, S, Beltranello, G, Dal Fabbro, S, Arico, C, Cervo, L, Zanon, R, Rossa, S, Di Pace, M, Ciavarella, A, Giangiulio, S, Grimaldi, M, Mustacchio, A, Fattor, B, Monauni, T, Cristini, M, Orion, G, Crazzolara, D, Amor, F, Eisath, J, Lintner, S, Garavelli, S, Calari, T, Marini, P, Sandri, O, Scala, M, Stroppa, C, Trentin, A, Carlin, R, Carli, B, Sandona, M, Zortea, C, Bonet, L, Pradel, L, Reato, S, Buschini, M, Bonfiglioli, D, Mones, D, Beldi, F, Morea, A, Bondesan, L, Perbellini, S, Valentini, U, Agosti, B, Corsini, R, Girelli, A, Zarra, E, Rocca, L, Bergmann, M, Pradi, I, Unterkircher, S, Piok, M, Pichler, M, Trinchera, A, Palama, G, Palma, P, Carboni, L, Murtas, M, Mudadu, T, Turco, M, Floris, M, Delogu, A, Farris, L, Songini, M, Piras, G, Seguro, R, Floris, R, Corona, G, Lai, M, Piras, E, Contini, P, Cocco, S, Pilosu, R, Sannia, M, Spanu, F, Busciantella Ricci, N, Cartechini, M, Agostinelli, G, Fiorelli, C, Nuzzi, A, Ballauri, C, Lesina, A, Romeo, F, Giudici, G, Maciejewska, E, Deroma, A, Paduano, M, Rossi, L, Vagnini, C, Dolci, M, Mori, M, Baccetti, F, Gregori, G, Straface, E, Pozzuoli, G, Barone, M, Stasio, G, Tondini, S, Borgoni, F, Grosso, J, Scarsellato, C, Sciulli, A, De Marco, F, Confortin, L, Marin, N, Lamonica, M, Gialdino, S, Borzi, V, Gatta, C, Rapisard, R, Strano, S, Calabro, M, Puccio, L, Zolli, M, Coracina, A, Starnone, V, Del Buono, A, Terracciano, A, Monda, M, Castro, F, Guaglianone, A, Maccari, V, Corsi, L, Versari, G, Falivene, M, Boletto, N, Corsi, S, Marafetti, L, Vitacolonna, E, Capani, F, Caputo, L, Di Nisio, L, Simonetti, F, Boscolo Bariga, A, Ballarin, G, De Boni, S, Di Benedetto, S, Chiambretti, A, Di Vito, L, Pascuzzo, M, Urli, P, Rumi, P, Balzarini, B, Galli, P, Castellan, M, Giannetti, A, Russotti, C, De Blasi, A, Perna, A, Campanelli, C, Ranchelli, A, Biccheri, D, Dadi, G, Massa, L, Baldi, G, Sciacca, F, Costanzo, E, Spada, M, Paolini, G, Ziller, P, Portolan, F, Pasolini, G, Ghilardi, G, Fiorina, P, Grata, M, Capretti, L, Speroni, G, Fugazza, L, Massafra, C, Lovagnini Scher, A, Cimicchi, M, Percudani, C, Risolo, T, Sacco, P, Gidoni Guarnieri, G, Piccolo, D, Bravin, C, De Noni, E, Scarpel, M, Marcon, M, Giacon, F, Panebianco, G, Tadiotto, F, Da Tos, V, D'Ambrosio, M, Pellizzola, D, Zampini, M, Frezzati, E, Mari, E, Raminelli, E, Gaiti, D, Bosi, E, Chierici, G, Pilla, S, Copelli, M, Zanichelli, P, Bertelli, L, Caretta, P, Vezzani, V, Bodecchi, S, Longobucco, A, Di Lembo, S, Spotti, E, Carrai, E, Degli Innocenti, A, Manini, L, Persico, R, Rossi, C, Magro, G, Marelli, G, Vilei, V, Andrioli, M, Bellato, L, Fedeli, M, Merlini, A, Pinelli, G, Marin, G, Contin, M, Gallo, A, Parlato, P, Pecchielan, W, Jacovacci, J, Placentino, G, Richini, D, Molinari, S, Strazzeri, R, Fabbri, T, Di Bartolo, P, Garrapa, G, D'Incau, F, Lagomanzini, P, Conte, P, Todesco, F, Foglini, P, Pantanetti, P, Bedetta, C, Maricotti, R, Tomasi, F, Monesi, M, Graziani, R, Beretta, F, Penna, L, Guberti, A, Dazzi, D, Forte, E, Gasbarrone, A, Marrocco, T, Moschetta, R, Tuccinardi, F, De Meo, F, Coppola, A, Pirolozzi, P, Placitelli, E, Vallefuoco, R, Catone, B, Ceschia, S, Urban, M, Fabbri, F, Torresani, M, Crovetto, R, Battistini, M, Carosia, P, Viviani, G, Durante, A, Pais, F, Lilliu, V, Quieto, C, D'Ugo, E, Squadrone, M, Amenduni, T, 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Sciangula, L, Ciucci, A, Contartese, A, Banfi, E, Castelli, E, Tatti, P, Bloise, D, Di Mauro, P, Masselli, L, Lo Presti, A, Scarpitta, A, Gambina, F, Venezia, A, Morea, R, Lagonigro, G, Copeta, G, Iannucci, V, Milano, V, Trupo, M, Lochmann, A, Marchetto, P, Incelli, G, De Paola, G, Steiger, M, Gamper, M, Breitenberger, S, Holzner, M, Frischmann, J, Lambiase, C, Di Vece, T, D'Aniello, M, Fezza, M, Giordano, C, Leo, F, Saitta, G, Cucinotta, D, Di Vieste, G, Pintaudi, B, Mancuso, T, Musacchio, N, Giancaterini, A, Pessina, L, Salis, G, Schivalocchi, F, Testori, G, Cerutti, N, Morpugo, P, Cavaletto, M, Bonino, G, Morreale, F, Mariani, G, Ragonesi, P, Bollati, P, Colapinto, P, Falqui, L, Bortolato, L, Cosma, A, Pistolato, P, Centenaro, B, Ceccato, A, Campobasso, G, Zaurino, F, Mazzotta, G, Manti, R, Da Ros, R, Carlucci, S, Narduzzi, L, Bortolotto, D, D'Acunto, L, Stanic, L, Volpi, A, Cospite, A, Manicardi, V, Michelini, M, Finardi, L, Borghi, F, Manicardi, E, Lombardi, S, Tommasi, C, Iaccarino, M, Cozza, S, Binotto, M, Marini, F, Mecenero, I, Massignani, S, Stecco, P, Urbani, E, Massariol, W, Parolin, R, Gatti, A, Bonavita, M, Creso, E, Giannettino, R, Gobbo, M, Iovine, C, Riccardi, G, Iazzetta, N, Giannattasio, C, Egione, O, Galdieri, S, Velotti, A, Azzolina, A, Annicelli, G, Sorrentino, T, Gaeta, I, Zenari, L, Bertolini, L, Sorgato, C, Grippaldi, F, Stroppiana, M, Popolizio, R, Carbone, N, Grasso, S, Abate, S, Gaggero, G, Strazzabosco, M, Brun, E, Carlesi, G, Garrone, S, Cicalo, A, Clausi, C, Cau, R, Manconi, A, Carboni, A, Angius, M, Pinna, A, Caria, S, Filigheddu, G, Tonolo, G, Carta, I, Calebich, S, Burlotti, C, Saglietti, G, Schellino, A, Madau, G, Cossu, M, Mulas, F, Zoccheddu, S, Balsanelli, M, Fetonti, M, Rotolo, A, Sambo, P, Secchi, E, Angotzi, M, Loddoni, S, Brundu, I, Careddu, F, Becciu, A, Gabriella Piras, G, Novara, F, Cipro, F, Torchio, G, Palumbo, P, Bianchi, A, Colucci, G, La Motta, G, Tiengo, A, Avogaro, A, Bruttomesso, D, Crepaldi, C, Fadini, G, Guarnieri, G, Lavagnini, M, Maran, A, Vedovato, M, De Kreutzenberg, V, Fedele, D, Lapolla, A, Sartore, G, Bax, G, Cardone, C, Dalfra, M, Masin, M, Toniato, R, Piarulli, F, Mattina, G, Fulantelli, M, Gioia, D, Conti, M, Ridola, G, D'Agati, F, Grossi, G, Zavaroni, I, Dei Cas, A, Franzini, L, Usberti, E, Antonimi, M, Anelli, N, Poli, R, Ridolfi, V, Michela, M, Haddoub, S, Prampolini, G, Muoio, A, Filippi, D, Bucci, F, Tardio, S, Calderini, M, Magotti, M, Quarantelli, C, Vernazza, M, Carolfi, A, Saracca, R, Picchio, E, Del Sindaco, P, Spalluto, A, Maggiulli, L, Torreggiani, V, Rastelletti, S, Ugolini, C, Pucci, N, Magi, S, Muratori, S, La Penna, G, Consoli, A, Galeone, F, Magiar, A, Gherardini, V, Moretti, L, Bientinesi, M, Landi, L, Bernardi, A, Del Prato, S, Miccoli, R, Bianchi, C, Penno, G, Venditti, F, Anichini, R, De Bellis, A, Bruschi, T, Butelli, L, Gioffredi, M, Gori, R, Picciafuochi, R, Malagoli, R, Bernini, A, Gelisio, R, Zanon, M, Del Bianco, A, Bamiston, A, Signorato, M, Citro, G, Calabrese, M, Ianni, L, Lorenzetti, M, Marsocci, A, Guizzotti, S, Memoli, G, Cabasino, F, Farci, F, Atzori, A, Sanna, A, Ghiani, M, Siotto, I, Sedda, M, Manis, A, Loddo, C, Loddo, I, Seguro, P, Cuomo, A, Orlando, L, Olanda, G, Pucci, A, Massenzo, M, Sardu, C, Perrone, G, Corazziere, F, La Puzza, I, Tripodi, P, Riggio, S, Giampaolo, A, Mannino, D, Aleandri, A, Guidi, M, Battisti, B, Faraglia, M, Lilli, V, Leotta, S, Visalli, N, Gagliardi, A, Fontana, L, Altomare, M, Carletti, S, Abbruzzese, S, Chiaramonte, F, Giordano, R, Rossini, M, Migneco, G, Cappelloni, D, Urbani, A, Piergiovanni, F, Simonetta, A, Massimiani, F, Bulzomi, R, Giuliano, M, Pennafina, M, Di Perna, P, D'Accinni, M, Paolucci, D, D'Ubaldi, A, D'Angelo, M, Masaro, G, Pietrantoni, M, Fratini, M, La Rosa, R, Poggi, M, Piccirilli, F, Pisano, R, Saponara, C, Conforti, I, Penza, A, Scalpone, R, Lo Pinto, S, Iacovella, L, Caccamo, C, Sposito, S, Teodonio, C, Restuccia, M, Mirto, G, Girardello, R, Gennaro, R, De Moliner, L, Bettini, E, Mattuzzi, A, Speese, K, Frisinghelli, F, Locatelli, F, Nicoletti, M, Trojan, N, Centis, R, L Volsi, P, Levis, E, Zanette, G, Comba, G, Ballatore, L, Cattaneo, A, Aglialoro, A, Guido, R, Patrone, M, Zecchini, M, Clementi, L, Galetta, M, Marconi, V, Bordin, P, Perale, L, Vinci, C, Sira Zanon, M, Geretto, L, Toffolo, C, Furlan, M, Mazzanti, G, Vinci, M, Sica, V, Armeni, M, Derai, R, Ennas, O, Mamusa, S, Pisano, M, Carreras, L, Rauseo, A, Cervone, S, Leggieri, A, Pontonio, M, Sturaro, R, Quattrocchi, F, Molinaro, M, Trasatti, M, Ferretti, B, Labarile, G, Baule, G, Gentilini, A, Spanu, M, Fancellu, A, Bianco, P, Lione, L, Massazza, G, Bocchio, G, Bosco, E, Monachesi, M, Carta, G, Boschetti, M, Ceresola, E, Venier, E, Calcaterra, F, Cataldi, F, Miola, M, Manfrini, S, Lai, A, Locci, B, Putzu, D, Tanganelli, I, Leonini, M, Egger, K, Marchiotto, W, Vincis, L, Orlandini, V, Pilloni, C, Farci, R, Pelligra, I, Renier, G, Mameli, M, Pala, A, Devigus, E, Fumagalli, I, Lalli, C, Leandri, M, Agliani, M, De Pascalis, L, Malci, F, De Ciocchis, A, Diodati, M, Macerola, B, Davi, S, Caccavale, A, Brocato, L, Pognant Gros, M, Borla, S, Lattanzi, E, Piersanti, C, Piersanti, A, Spinelli, I, Tuzzoli, L, Tulini, V, Quaranta, G, Iorio, V, Tirabovi, M, De Terlizi, C, Massarelli, M, Venturi, S, Travaglini, A, Draghi, P, Pomante, P, Richiardi, L, Clerico, A, Bruno, A, Cavallo Perin, P, Ghigo, E, Porta, M, Scuntero, P, Arcari, R, Bertaina, S, Bo, S, Broglio, F, Bruno, G, Degiovanni, M, Fornengo, P, Grassi, G, Inglese, V, Maccario, M, Maghenzani, G, Marena, S, Martina, V, Passera, P, Ruiu, G, Tagliabue, M, Zanone, M, Monge, M, Boffano, G, Macri, K, Maio, P, Ozzello, A, Pergolizzi, E, Gaia, D, Gennari, P, Micali, G, Rossetto, E, Dalmazzo, C, Oreglia, M, Stefani, T, Dossena, C, Paglia, P, Bosoni, S, Romanelli, T, Inchiostro, S, Dauriz, M, Bossi, C, Meregalli, G, Balini, A, Berzi, D, Filippini, B, Crotto, G, Paccagnella, A, Orrasch, M, Sambataro, M, Citro, T, Kiwanuka, E, Bagolin, E, Almoto, B, Macchia, A, Branca, M, Filesi, M, Candido, R, Caroli, E, Manca, E, Petrucco, A, Tommasi, E, Jagodnik, G, Baskar, B, Daris, N, Dal Col, P, Pellegrini, M, Tonutti, L, Venturini, G, Andreani, M, Turchi, F, Fedrighelli, F, Martinelli, G, Rongioletti, R, Candidi, M, Pais, M, Moro, E, Cervellino, F, Sinisi, R, Zampino, A, Mingardi, R, Lora, L, Reitano, R, Stocchiero, C, Simoncini, M, Mesturino, C, Zen, F, Di Pietro, S, Scoponi, C, Tilaro, L, Pelliccioni, S, Slongo, R, Vita, E, Garofalo, A, Vitale, F, Campanella, B, Mastrilli, V, Borrelli, T, D'Avino, A, Perbellini, A, Mirijello A., Viazzi F., Fioretto P., Giorda C. B., Ceriello A., Russo G. T., Guida P., Pontremoli R., De Cosmo S., Cimino A., Fava D., Meloncelli I., Nicolucci A., Pellegrini F., Rossi M. C., Turco S., Vespasiani G., Graziano G., Lucisano G., Memmo R., Pellicciotta E., Paciotti V., Pupillo M., Armentano G., Giovannini C., Armentano V., Laudato M., Acquati S., Ciardullo A. V., Laffi G., Felace G., Taboga C., Tortul C., Santantonio G., Suraci C., Ghisoni G., Raffa M., Genovese S., Lovagnini-Scher C. A., Rampini P., Rocca A., Ruggeri P., Tortato E., Cotti L., Cristofaro M. R., Tagliaferri M., Comoglio M., Fornengo R., Gentile F. M., Gigante A., Mastinu F., Di Benedetto A., Pata P., Arcangeli A., Orsini P., Acler P., De Blasi G., Cicioni G., Pocciati S., Marangoni A., Nogara A., Lanero M., Bertero M. G., Damassino R., Bergonzini C., Schumtz L., Seksich L., Pipitone A., Boaretto M., Manfroi I., Parmesan L., Conte B., Soccol F., Pagano A., Papini E., Rinaldi R., Petrucci L., Graziano F., Chianelli M., Silvagni S., Rosco M., Ansaldi E., Malvicino F., Battezzati M., Maresca P., Palenzona C., Boemi M., Rabini R. A., Brandoni G., Lanari L., Gatti C., Testa I., Cherubini V., Doveri G., Pecorelli L., Ciccarelli A., Gallardini M. B., Courthoud R., Sara Bredy S., Ricciardi G. P., Vitalone G., Setti D., Contrini P., Corsi A., Ghigliotti V., Oddone G., Ponzani P., Valbonesi G., Mazzini V., Di Berardino P., Colleluori P., Montani V., Trosini V., Velussi M., Alfidi P., Verdecchia B., Baliva L., Di Pietro A., Franchi G., Luce R. P., Pianta A., Ferrari M., Balzano S., Beltranello G., Dal Fabbro S., Arico C. N., Cervo L., Zanon R., Rossa S., Di Pace M. C., Ciavarella A., Giangiulio S., Grimaldi M., Mustacchio A., Fattor B., Monauni T., Cristini M., Orion G., Crazzolara D., Amor F., Eisath J. E., Lintner S., Garavelli S., Calari T., Marini P., Sandri O., Scala M., Stroppa C., Trentin A., Carlin R., Carli B., Sandona M., Zortea C., Bonet L., Pradel L., Reato S., Buschini M., Bonfiglioli D., Mones D., Beldi F., Morea A., Bondesan L., Perbellini S., Valentini U., Agosti B., Corsini R., Girelli A., Zarra E., Rocca L., Bergmann M., Pradi I., Unterkircher S., Piok M., Pichler M., Trinchera A., Palama G., Palma P., Carboni L., Murtas M. G., Mudadu T., Turco M. P., Floris M., Delogu A., Farris L., Songini M., Piras G., Seguro R., Floris R., Corona G., Lai M., Piras E., Contini P. P., Cocco S., Pilosu R. M., Sannia M. C., Spanu F., Busciantella Ricci N., Cartechini M. G., Agostinelli G., Fiorelli C., Nuzzi A., Ballauri C., Lesina A., Romeo F., Giudici G., Maciejewska E. G., Deroma A., Paduano M., Rossi L., Vagnini C., Dolci M., Mori M., Baccetti F., Gregori G., Straface E., Pozzuoli G., Barone M., Stasio G. B., Tondini S., Borgoni F., Grosso J., Scarsellato C., Sciulli A., De Marco F., Confortin L., Marin N., Lamonica M., Gialdino S., Borzi V., Gatta C., Rapisard R., Strano S., Calabro M., Puccio L., Zolli M., Coracina A., Starnone V., Del Buono A., Terracciano A. M., Monda M. V., Castro F., Guaglianone A., Maccari V., Corsi L., Versari G., Falivene M. R., Boletto N., Corsi S., Marafetti L., Vitacolonna E., Capani F., Caputo L., Di Nisio L., Simonetti F., Boscolo Bariga A., Ballarin G., De Boni S., Di Benedetto S., Chiambretti A. M., Di Vito L., Pascuzzo M. D., Urli P., Rumi P., Balzarini B., Galli P., Castellan M., Giannetti A., Russotti C., De Blasi A., Perna A., Campanelli C., Ranchelli A., Biccheri D., Dadi G., Massa L., Baldi G. P., Sciacca F., Costanzo E., Spada M., Paolini G., Ziller P., Portolan F., Pasolini G., Ghilardi G., Fiorina P., Grata M. L., Capretti L., Speroni G., Fugazza L., Massafra C., Lovagnini Scher A., Cimicchi M. 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A., Tonutti L., Venturini G., Andreani M., Turchi F., Fedrighelli F., Martinelli G., Rongioletti R., Candidi M., Pais M., Moro E., Cervellino F., Sinisi R., Zampino A., Mingardi R., Lora L., Reitano R., Stocchiero C., Simoncini M., Mesturino C. A., Zen F., Di Pietro S., Scoponi C., Tilaro L., Pelliccioni S., Slongo R., Vita E., Garofalo A., Vitale F., Campanella B., Mastrilli V., Borrelli T., D'Avino A., and Perbellini A.
- Abstract
Background: Albuminuria has been classically considered a marker of kidney damage progression in diabetic patients and it is routinely assessed to monitor kidney function. However, the role of a mild GFR reduction on the development of stage ≥3 CKD has been less explored in type 1 diabetes mellitus (T1DM) patients. Aim of the present study was to evaluate the prognostic role of kidney disease measures, namely albuminuria and reduced GFR, on the development of stage ≥3 CKD in a large cohort of patients affected by T1DM. Methods: A total of 4284 patients affected by T1DM followed-up at 76 diabetes centers participating to the Italian Association of Clinical Diabetologists (Associazione Medici Diabetologi, AMD) initiative constitutes the study population. Urinary albumin excretion (ACR) and estimated GFR (eGFR) were retrieved and analyzed. The incidence of stage ≥3 CKD (eGFR < 60 mL/min/1.73 m2) or eGFR reduction > 30% from baseline was evaluated. Results: The mean estimated GFR was 98 ± 17 mL/min/1.73m2 and the proportion of patients with albuminuria was 15.3% (n = 654) at baseline. About 8% (n = 337) of patients developed one of the two renal endpoints during the 4-year follow-up period. Age, albuminuria (micro or macro) and baseline eGFR < 90 ml/min/m2 were independent risk factors for stage ≥3 CKD and renal function worsening. When compared to patients with eGFR > 90 ml/min/1.73m2 and normoalbuminuria, those with albuminuria at baseline had a 1.69 greater risk of reaching stage 3 CKD, while patients with mild eGFR reduction (i.e. eGFR between 90 and 60 mL/min/1.73 m2) show a 3.81 greater risk that rose to 8.24 for those patients with albuminuria and mild eGFR reduction at baseline. Conclusions: Albuminuria and eGFR reduction represent independent risk factors for incident stage ≥3 CKD in T1DM patients. The simultaneous occurrence of reduced eGFR and albuminuria have a synergistic effect on renal function worsening.
- Published
- 2018
50. Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial
- Author
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J, Daga, S, Sowell, M, Patel, P, Garvey, L, Ackert, J, Abraham, S, Sabol, M, Altobelli, D, Ha, J, Kulkarni, M, Noronha, D, Casson, E, Zang, E, Sandhu, C, Kumar, R, Chen, D, Taft, L, Ye, J, Shannon, J, Wilson, T, Babi, C, Miller, D, Russell, R, Bull, G, Hereghty, B, Fernandez-Salazar, E, Longley, T, Donaldson, J, Jarosz, M, Murphy, K, Adams, P, James, R, Richards, J, Sedani, S, Althouse, D, Watson, D, Lorimer, J, Lauder, S, Schultheis, R, Womer, T, Wraight, E, Li, W, Price-Olsen, E, Watson, A, Kelly, A, Mclaughlin, P, Fleming, J, Schubert, J, Schleiden, D, Harris, T, Prakash, R, Breneman, J, Deshpande, S, Saswadkar, A, Kumari, A, Shitut, A, Raorane, A, Karmalkar, A, Mhambrey, A, Bhosale, A, Vaphare, A, Patil, A, Khandelwal, C, Shaik, F, Nadar, M, Karka, M, Kadgaonkar, N, Gupta, N, Aher, N, Potnis, O, Naicker, P, Shinde, R, Sharma, R, Godse, R, Solanki, S, Sahu, S, Dumbre, S, Kumar, S, Patil, S, Mandal, T, Hernandez A. F., Green J. B., Janmohamed S., D'Agostino R. B., Granger C. B., Jones N. P., Leiter L. A., Rosenberg A. E., Sigmon K. N., Somerville M. C., Thorpe K. M., McMurray J. J. V., Del Prato S., Califf R. M., Holman R., DeMets D., Riddle M., Goodman S., McGuire D., Alexander K., Devore A., Melloni C., Patel C., Kong D., Bloomfield G., Roe M., Tricoci P., Harrison R., Lopes R., Mathews R., Mehta R., Schuyler Jones W., Vemulapalli S., Povsic T., Eapen Z., Dombrowski K., Kolls B., Jordan D., Ambrosy A., Greene S., Mandawat A., Shavadia J., Cooper L., Sharma A., Guimaraes P., Friedman D., Wilson M., Endsley P., Gentry T., Collier J., Perez K., James K., Roush J., Pope C., Howell C., Johnson M., Bailey M., Cole J., Akers T., Vandyne B., Thomas B., Rich J., Bartone S., Beaulieu G., Brown K., Chau T., Christian T., Coker R., Greene D., Haddock T., Jenkins W., Haque G., Marquess M., Pesarchick J., Rethaford R., Stone A., Al Kawas F., Anderson M., Enns R., Sinay I., Mathieu C., Yordanov V., Hramiak I., Haluzik M., Galatius S., Guerci B., Nauck M., Migdalis I., Tan C. B. K., Kocsis G., Giaccari A., Lee M. K., Munoz E. G. C., Cornel J., Birkeland K., Pinto M., Tirador L., Olesinska-Mader M., Shestakova M., Distiller L., Lopez-Sendon J., Eliasson B., Chiang C. -E., Srimahachota S., Mankovsky B., Bethel M. A., Dungan K., Kosiborod M., Alvarisqueta A., Baldovino J., Besada D., Calella P., Cantero M. C., Castano P., Chertkoff A., Cuadrado J., De Loredo L., Dominguez A., Espanol M. V., Finkelstein H., Frechtel G., Fretes J., Garrido Santos N., Gonzalez J., Litvak M., Loureyro J., Maffei L., Maldonado N., Mohr Gasparini D., Orio S., Perez Manghi F., Rodriguez Papini N., Sala J., Schygiel P., Sposetti G., Ulla M., Verra F., Zabalua S., Zaidman C., Crenier L., Debroye C., Duyck F., Scheen A., Van Gaal L., Vercammen C., Damyanova V., Dimitrov S., Kovacheva S., Lozanov L., Margaritov V., Mihaylova-Shumkova R., Nikolaeva A., Stoyanova Z., Akhras R., Beaudry Y., Bedard J., Berlingieri J., Chehayeb R., Cheung S., Conway J., Cusson J., Della Siega A., Dumas R., Dzongowski P., Ferguson M., Gaudet D., Grondin F., Gupta A., Gupta M., Halperin F., Houle P. -A., Jones M., Kouz S., Kovacs C., Landry D., Lonn E., O'Mahony W., Peterson S., Reich D., Rosenbloom A., St-Maurice F., Tugwell B., Vizel S., Woo V., Brychta T., Cech V., Dvorakova E., Edelsberger T., Halciakova K., Krizova J., Lastuvka J., Piperek M., Prymkova V., Raclavska L., Silhova E., Urbanek R., Vrkoc J., Andersen U., Bronnum-Schou J., Hove J., Jensen J. 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P., Lund P., Melchior T., Nyvad O., Schou M., Boye A., Cadinot D., Gouet D., Henry P., Kessler L., Lalau J. -D., Petit C., Thuan J. -F., Voinot C., Vouillarmet J., Axthelm C., Berger D., Bieler T., Birkenfeld A., Bott J., Busch K., Caca K., Chevts J., Donaubauer T., Erlinger R., Funke K., Grosskopf J., Hagenow A., Hamann M., Hartard M., Heymer P., Huppertz W., Illies G., Jacob S., Jung T., Kahrmann G., Kast P., Kellerer M., Kempe H. -P., Khariouzov A., Klausmann G., Klein C., Kleinecke-Pohl U., Kleinertz K., Koch T., Kosch C., Lorra B., Luedemann J., Luttermann M., Maxeiner S., Milek K., Moelle A., Neumann G., Nischik R., Oehrig-Pohl E., Plassmann G., Pohlmeier L., Proepper F., Regner S., Rieker W., Rose L., Samer H., Sauter J., Schaper F., Schiffer C., Schmidt J., Scholz B. -M., Schulze J., Segner A., Seufert J., Sigal H., Steindorf J., Stockhausen J., Stuebler P., Taeschner H., Tews D., Tschoepe D., Wilhelm K., Zeller-Stefan H., Avramidis I., Bousboulas S., Bristianou M., Dimitriadis G., Elisaf M., Kotsa K., Melidonis A., Mitrakou A., Pagkalos E., Papanas N., Pappas A., Sampanis C., Tentolouris N., Tsapas A., Tzatzagou G., Ozaki R., Hajdu C., Harcsa E., Konyves L., Mucsi J., Pauker Z., Petro G., Ples Z., Revesz K., Sandor V., Vass V., Avogaro A., Boemi M., Bonadonna R., Consoli A., De Cosmo S., Di Bartolo P., Dotta F., Frontoni S., Galetta M., Gambineri A., Gazzaruso C., Giorgino F., Lauro D., Orsi E., Paolisso G., Perriello G., Piatti P., Pontiroli A., Ponzani P., Rivellese A. 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R., Duran Garcia S., Elvira Gonzalez J., Fernandez Rodriguez J. M., Goday Arno A., Gomez Huelgas R., Gonzalez Juanatey J. R., Hernandez Mijares A., Jimenez Diaz V. A., Jodar Gimeno E., Lucas Morante T., Marazuela M., Martell Claros N., Mauricio Puente D., Mena Ribas E., Merino Torres J. F., Mezquita Raya P., Nubiola Calonge A., Ordonez Sanchez X., Pascual Izuel J. M., Perea Castilla V., Perez Perez A., Perez Soto I., Quesada Charneco M., Quesada Simon A., Redon Mas J., Rego Iraeta A., Rodriguez Alvarez M., Rodriguez Rodriguez I., Saban Ruiz J., Soto Gonzalez A., Tinahones Madueno F., Trescoli Serrano C., Ulied Arminana A., Bachus E., Berndtsson Blom K., Eliasson K., Koskinen P., Larnefeldt H., Lif-Tiberg C., Linderfalk C., Lund G., Lundman P., Moris L., Olsson A., Salmonsson S., Sanmartin Berglund J., Sjoberg F., Soderberg S., Torstensson I., Chen J. -F., Tien K. 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M., Dauber I., Davila W., De Armas L., Dean J., Detweiler R., Diaz E., Di Giovanna M., Dor I., Drummond W., Eagerton D., Earl J., Eaton C., Ellison H., Farris N., Fiel T., Firek A., First B., Forgosh L., French W., Gandy W., Garcia R., Gill S., Gordon M., Guice M., Gummadi S., Hackenyos J., Hairston K., Hanson L., Harrison L., Hartman I., Heitner J., Hejeebu S., Hermany P., Hernandez-Cassis C., Hidalgo H., Higgins A., Ibrahim H., Jacobs S., Johnson D., Joshi P., Kaster S., Kellum D., Kim C., Kim E., Kirby W., Knouse A., Kulback S., Kumar M., Kuruvanka T., Labroo A., Lasswell W., Lentz J., Lenzmeier T., Lewis D., Li Z., Lillestol M., Little R., Lorraine R., McKeown-Biagas C., McNeill R., Mehta A., Miller A., Moran J., Morawski E., Nadar V., O'Connor T., Odio A., Parker R., Patel R., Phillips L., Raad G., Rahman A., Raikhel M., Raisinghani A., Rajan R., Rasouli N., Rauzi F., Rohr K., Roseman H., Rovner S., Saba F., Sachson R., Schabauer A., Schneider R., Schuchard T., Sensenbrenner J., Shlesinger Y., Singh N., Sivalingam K., Stonesifer L., Storey D., Suh D., Tahir M., Tan A., Tan M., Taylon A., Thakkar M., Tripathy D., Uwaifo G., Vedere A., Venugopal C., Vo A., Welch M., Welker J., White A., Willis J., Wynne A., Yazdani S., Price L., Lokhngina Y., Xing W., Overton R., Stewart M., Stead J., Lindsay A., Patel V., Ross J., Soffer J., Daga S., Sowell M., Patel P., Garvey L., Ackert J., Abraham S., Sabol M. B., Altobelli D., Ha J., Kulkarni M., Noronha D., Casson E., Zang E., Sandhu C., Kumar R., Chen D., Taft L., Ye J., Shannon J., Wilson T., Babi C., Miller D., Russell R., Bull G., Hereghty B., Fernandez-Salazar E., Longley T., Donaldson J., Jarosz M., Murphy K., Adams P., James R., Richards J., Sedani S., Althouse D., Watson D., Lorimer J., Lauder S., Schultheis R., Womer T., Wraight E., Li W., Price-Olsen E., Watson A., Kelly A., McLaughlin P., Fleming J., Schubert J., Schleiden D., Harris T., Prakash R., Breneman J., Deshpande S., Saswadkar A., Kumari A., Shitut A., Raorane A., Karmalkar A., Mhambrey A., Bhosale A., Vaphare A., Patil A. P., Khandelwal C., Shaik F., Nadar M., Karka M., Kadgaonkar N., Gupta N., Aher N., Potnis O., Naicker P., Shinde R., Sharma R., Godse R., Solanki S., Sahu S., Dumbre S., Kumar S., Patil S., Mandal T., Hernandez, A, Green, J, Janmohamed, S, D'Agostino, R, Granger, C, Jones, N, Leiter, L, Rosenberg, A, Sigmon, K, Somerville, M, Thorpe, K, Mcmurray, J, Del Prato, S, Califf, R, Holman, R, Demets, D, Riddle, M, Goodman, S, Mcguire, D, Alexander, K, Devore, A, Melloni, C, Patel, C, Kong, D, Bloomfield, G, Roe, M, Tricoci, P, Harrison, R, Lopes, R, Mathews, R, Mehta, R, Schuyler Jones, W, Vemulapalli, S, Povsic, T, Eapen, Z, Dombrowski, K, Kolls, B, Jordan, D, Ambrosy, A, Greene, S, Mandawat, A, Shavadia, J, Cooper, L, Sharma, A, Guimaraes, P, Friedman, D, Wilson, M, Endsley, P, Gentry, T, Collier, J, Perez, K, James, K, Roush, J, Pope, C, Howell, C, Johnson, M, Bailey, M, Cole, J, Akers, T, Vandyne, B, Thomas, B, Rich, J, Bartone, S, Beaulieu, G, Brown, K, Chau, T, Christian, T, Coker, R, 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- Abstract
Background: Glucagon-like peptide 1 receptor agonists differ in chemical structure, duration of action, and in their effects on clinical outcomes. The cardiovascular effects of once-weekly albiglutide in type 2 diabetes are unknown. We aimed to determine the safety and efficacy of albiglutide in preventing cardiovascular death, myocardial infarction, or stroke. Methods: We did a double-blind, randomised, placebo-controlled trial in 610 sites across 28 countries. We randomly assigned patients aged 40 years and older with type 2 diabetes and cardiovascular disease (at a 1:1 ratio) to groups that either received a subcutaneous injection of albiglutide (30–50 mg, based on glycaemic response and tolerability) or of a matched volume of placebo once a week, in addition to their standard care. Investigators used an interactive voice or web response system to obtain treatment assignment, and patients and all study investigators were masked to their treatment allocation. We hypothesised that albiglutide would be non-inferior to placebo for the primary outcome of the first occurrence of cardiovascular death, myocardial infarction, or stroke, which was assessed in the intention-to-treat population. If non-inferiority was confirmed by an upper limit of the 95% CI for a hazard ratio of less than 1·30, closed testing for superiority was prespecified. This study is registered with ClinicalTrials.gov, number NCT02465515. Findings: Patients were screened between July 1, 2015, and Nov 24, 2016. 10 793 patients were screened and 9463 participants were enrolled and randomly assigned to groups: 4731 patients were assigned to receive albiglutide and 4732 patients to receive placebo. On Nov 8, 2017, it was determined that 611 primary endpoints and a median follow-up of at least 1·5 years had accrued, and participants returned for a final visit and discontinuation from study treatment; the last patient visit was on March 12, 2018. These 9463 patients, the intention-to-treat population, were
- Published
- 2018
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