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479 results on '"Baldi, Ileana"'

17. Changes in Estimating the Wild Boar Carcasses Sampling Effort: Applying the EFSA ASF Exit Strategy by Means of the WBC-Counter Tool

Author

Loi Federica, Baldi Ileana, Desini Pietro, Pintore Antonio, Denurra Daniele, and Cappai Stefano

Abstract

African swine fever (ASF) is a devastating disease, resulting in the high mortality of domestic and wild pigs, spreading quickly around the world. Ensuring the prevention and early detection of the disease is even more crucial given the absence of licensed vaccines. As suggested by the European Commission, those countries which intend to provide evidence of freedom need to speed up passive surveillance of their wild boar populations. If this kind of surveillance is wellregulated in domestic pig farms, the country-specific activities to be put in place for wild populations need to be set based on wild boar density, hunting bags, the environment, and financial resources. Following the indications of the official EFSA opinion 2021, a practical interpretation of the strategy was implemented based on the failure probabilities of wrongly declaring the freedom of an area even if the disease is still present but undetected. This work aimed at providing a valid, applicative example of an exit strategy based on two different approaches: the first uses the wild boar density to estimate the number of carcasses need to complete the exit strategy, while the second estimates it from the number of wild boar hunted and tested. A practical free access tool, named WBC-Counter, was developed to automatically calculate the number of needed carcasses. The practical example was developed using the ASF data from Sardinia (Italian island). Sardinia is ASF endemic from 43 years, but the last ASFV detection dates back to 2019. The island is under consideration for ASF eradication declaration. The subsequent results provide a practical example for other countries in approaching the EFSA exit strategy in the best choices for its on-field application

Published
2022

19. Assessment of Glucose Lowering Medications’ Effectiveness for Cardiovascular Clinical Risk Management of Real-World Patients with Type 2 Diabetes: Targeted Maximum Likelihood Estimation under Model Misspecification and Missing Outcomes

Author

Sciannameo, Veronica, primary, Fadini, Gian Paolo, additional, Bottigliengo, Daniele, additional, Avogaro, Angelo, additional, Baldi, Ileana, additional, Gregori, Dario, additional, and Berchialla, Paola, additional

Published
2022
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24. Methodological approaches to analyze sequential multiple assignments randomized trials (SMARTs) in oncology: a systematic review

Author

Lorenzoni, Giulia, Petracci, Elisabetta, Scarpi, Emanuela, Gregori, Dario, Baldi, Ileana, and Nanni, Oriana

Subjects
Epidemiology, Neoplasms, Medicine and Health Sciences, Clinical Epidemiology, Diseases, Public Health
Abstract

Systematic review aimed to investigate the state-of-the-art of SMART methods in oncology, focusing on the discrepancy between the available methodological approaches in the statistical literature and the procedures applied within cancer clinical trials.

Published
2022
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26. Changes in Estimating the Wild Boar Carcasses Sampling Effort: Applying the EFSA ASF Exit Strategy by Means of the WBC-Counter Tool

Author

Cappai, Stefano, primary, Baldi, Ileana, additional, Desini, Pietro, additional, Pintore, Antonio, additional, Denurra, Daniele, additional, Cherchi, Marcella, additional, Rolesu, Sandro, additional, Mandas, Daniela, additional, Franzoni, Giulia, additional, Fiori, Mariangela Stefania, additional, Oggiano, Annalisa, additional, Feliziani, Francesco, additional, Guberti, Vittorio, additional, and Loi, Federica, additional

Published
2022
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27. Lenalidomide plus R-CHOP21 in elderly patients with untreated diffuse large B-cell lymphoma: results of the REAL07 open-label, multicentre, phase 2 trial

Author

Vitolo, Umberto, Chiappella, Annalisa, Franceschetti, Silvia, Carella, Angelo Michele, Baldi, Ileana, Inghirami, Giorgio, Spina, Michele, Pavone, Vincenzo, Ladetto, Marco, Liberati, Anna Marina, Molinari, Anna Lia, Zinzani, Pierluigi, Salvi, Flavia, Fattori, Pier Paolo, Zaccaria, Alfonso, Dreyling, Martin, Botto, Barbara, Castellino, Alessia, Congiu, Angela, Gaudiano, Marcello, Zanni, Manuela, Ciccone, Giovannino, Gaidano, Gianluca, and Rossi, Giuseppe

Published
2014
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30. Pomalidomide, cyclophosphamide, and prednisone for relapsed/refractory multiple myeloma: a multicenter phase 1/2 open-label study

Author

Larocca, Alessandra, Montefusco, Vittorio, Bringhen, Sara, Rossi, Davide, Crippa, Claudia, Mina, Roberto, Galli, Monica, Marcatti, Magda, La Verde, Giacinto, Giuliani, Nicola, Magarotto, Valeria, Guglielmelli, Tommasina, Rota-Scalabrini, Delia, Omedé, Paola, Santagostino, Alberto, Baldi, Ileana, Carella, Angelo Michele, Boccadoro, Mario, Corradini, Paolo, and Palumbo, Antonio

Published
2013
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34. 'Clinical Stability' and Propensity Score Matching in Cardiac Surgery: is the clinical evaluation of treatment efficacy algorithmdependent in small sample size settings?

Author

Bottigliengo, Daniele, Acar, Aslıhan Sentürk, Sciannameo, Veronica, Lorenzoni, Giulia, Bejko, Jonida, Bottio, Tomaso, Cozzi, Emanuele, Vadori, Marta, Soulillou, Jean-Paul, Le Torneau, Thierry, Senage, Thomas, Mañez, Rafael, Costa, Cristina, Padler-Karavani, Vered, Scali, Sofia, Carrozzini, Massimiliano, Fiorello, Emilia, Fusca, Samuel, Gerosa, Gino, Baldi, Ileana, Berchialla, Paola, and Gregori, Dario

Abstract

Background: Propensity score matching represents one of the most popular techniques to deal with treatment allocation bias in observational studies. However, when the number of enrolled patients is very low, the creation of matched set of subjects may highly depend on the model used to estimate individual propensity scores, undermining the stability of consequential clinical findings. In this study, we investigate the potential issues related to the stability of the matched sets created by different propensity score models and we propose some diagnostic tools to evaluate them. Methods: Matched groups of patients were created using five different methods: Logistic Regression, Classification and Regression Trees, Bagging, Random Forest and Generalized Boosted Model. Differences between subjects in the matched sets were evaluated by comparing both pre-treatment covariates and propensity score distributions. We applied our proposal to a cardio-surgical observational study that aims to compare two different procedures of cardiac valve replacement. Results: Both baseline characteristics and propensity score distributions were systematically different across matched samples of patients created with different models used to estimate propensity score. The most relevant differences were observed for the matched set created by estimating individual propensity scores with Classification and Regression Trees algorithm. Conclusion: Clinical stability of matched samples created with different statistical methods should always be evaluated to ensure reliability of final estimates. This work opens the door for future investigations that fully assess the implications of this finding.

Published
2022

45. Pretreatment lung immune prognostic index as a biomarker in advanced non-small-cell lung cancer patients receiving first line pembrolizumab

Author

Veccia, Antonello, primary, Sforza, Vincenzo, additional, Vattemi, Emanuela, additional, Inno, Alessandro, additional, Kinspergher, Stefania, additional, Dipasquale, Mariachiara, additional, Gori, Stefania, additional, Morabito, Alessandro, additional, Baldi, Ileana, additional, and Caffo, Orazio, additional

Published
2021
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47. Estimation of R 0 for the Spread of the First ASF Epidemic in Italy from Fresh Carcasses.

Author

Loi, Federica, Di Sabatino, Daria, Baldi, Ileana, Rolesu, Sandro, Gervasi, Vincenzo, Guberti, Vittorio, and Cappai, Stefano

Subjects
EPIDEMICS, BASIC reproduction number, AFRICAN swine fever, WILD boar, SWINE, INFECTIOUS disease transmission
Abstract

After fifty years of spread in the European continent, the African swine fever (ASF) virus was detected for the first time in the north of Italy (Piedmont) in a wild boar carcass in December, 2021. During the first six months of the epidemic, the central role of wild boars in disease transmission was confirmed by more than 200 outbreaks, which occurred in two different areas declared as infected. The virus entered a domestic pig farm in the second temporal cluster identified in the center of the country (Lazio). Understanding ASF dynamics in wild boars is a prerequisite for preventing the spread, and for designing and applying effective surveillance and control plans. The aim of this work was to describe and evaluate the data collected during the first six months of the ASF epidemic in Italy, and to estimate the basic reproduction number (R0) in order to quantify the extent of disease spread. The R0 estimates were significantly different for the two spatio-temporal clusters of ASF in Italy, and they identified the two infected areas based on the time necessary for the number of cases to double (td) and on an exponential decay model. These results (R0 = 1.41 in Piedmont and 1.66 in Lazio) provide quantitative knowledge on the epidemiology of ASF in Italy. These parameters could represent a fundamental tool for modeling country-specific ASF transmission and for monitoring both the spread and sampling effort needed to detect the disease early. [ABSTRACT FROM AUTHOR]

Published
2022
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48. Lung Ultrasound in the Emergency Setting

Author

Pivetta, Emanuele, Goffi, Alberto, Lupia, Enrico, Tizzani, Maria, Porrino, Giulio, Ferreri, Enrico, Volpicelli, Giovanni, Balzaretti, Paolo, Banderali, Alessandra, Iacobucci, Antonello, Locatelli, Stefania, Casoli, Giovanna, Stone, Michael B., Maule, Milena M., Baldi, Ileana, Merletti, Franco, and Cibinel, Gian Alfonso

Published
2015
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49. Melphalan 200 mg/m2 versus melphalan 100 mg/m2 in newly diagnosed myeloma patients: a prospective, multicenter phase 3 study

Author

Palumbo, Antonio, Bringhen, Sara, Bruno, Benedetto, Falcone, Antonietta Pia, Liberati, Anna Marina, Grasso, Mariella, Ria, Roberto, Pisani, Francesco, Cangialosi, Clotilde, Caravita, Tommaso, Levi, Anna, Meloni, Giovanna, Nozza, Andrea, Pregno, Patrizia, Gabbas, Attilio, Callea, Vincenzo, Rizzo, Manuela, Annino, Luciana, De Stefano, Valerio, Musto, Pellegrino, Baldi, Ileana, Cavallo, Federica, Petrucci, Maria Teresa, Massaia, Massimo, and Boccadoro, Mario

Published
2010
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