Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Luca Cancanelli"'
Autor:
Luca Cancanelli, Melania Rivano, Lorenzo Di Spazio, Marco Chiumente, Daniele Mengato, Andrea Messori
Publikováno v:
Hematology Reports, Vol 15, Iss 1, Pp 57-65 (2023)
In recent years, new treatments have been studied for relapsed-refractory multiple myeloma (RRMM), including two CAR-T products and a variety of non-CAR-T agents. Since direct comparisons between these innovative treatments are not available, indirec
Externí odkaz:
https://doaj.org/article/e66bd5262cf34d22a212584e1c223575
Autor:
Vera Damuzzo, Laura Agnoletto, Roberta Rampazzo, Francesca Cammalleri, Luca Cancanelli, Marco Chiumente, Stefano Costantino, Silvia Michielan, Federica Milani, Alessia Sartori, Melania Rivano, Daniele Mengato
Publikováno v:
Neurology International, Vol 13, Iss 4, Pp 682-694 (2021)
Health-related quality of life is frequently included in patient-reported outcomes aimed at evaluating the effectiveness of disease-modifying drugs for multiple sclerosis, but recent data about Italian patients are missing. A multicenter observationa
Externí odkaz:
https://doaj.org/article/9a7b6c9a184a43e7a57b929803249ede
Autor:
Marco Chiumente, Daniele Mengato, Luca Cancanelli, Lorenzo Di Spazio, Andrea Messori, Melania Rivano
Publikováno v:
World Journal of Urology. 40:2609-2615
In recent years, new treatments have been approved for nonmetastatic castration-resistant prostate cancer (M0CRPC). Because direct comparisons between these treatments are not available to guide treatment decisions, indirect comparisons can be of int
Autor:
Marco Chiumente, Daniele Mengato, Luca Cancanelli, Lorenzo Di Spazio, Andrea Messori, Melania Rivano
Publikováno v:
Leukemia & Lymphoma. 63:1261-1264
Autor:
Stefano Costantino, Daniele Mengato, Luca Cancanelli, Melania Rivano, Francesca Cammalleri, Roberta Rampazzo, Silvia Michielan, Laura Agnoletto, Marco Chiumente, Alessia Sartori, Federica Milani, Vera Damuzzo
Publikováno v:
Neurology International
Neurology International; Volume 13; Issue 4; Pages: 682-694
Neurology International, Vol 13, Iss 65, Pp 682-694 (2021)
Neurology International; Volume 13; Issue 4; Pages: 682-694
Neurology International, Vol 13, Iss 65, Pp 682-694 (2021)
Health-related quality of life is frequently included in patient-reported outcomes aimed at evaluating the effectiveness of disease-modifying drugs for multiple sclerosis, but recent data about Italian patients are missing. A multicenter observationa
Autor:
Andrea Messori, Melania Rivano, Luca Cancanelli, Vera Damuzzo, Andrea Ossato, Marco Chiumente, Daniele Mengato
Publikováno v:
Cureus.
Objective This paper presents a preliminary experience based on the "one-to-many" approach of the Shiny method. Numerous (or "many") treatments for advanced or metastatic urothelial carcinoma have recently been reviewed. More recently, "one" potentia
Autor:
Daniele Mengato, Marco Chiumente, Luca Cancanelli, Melania Rivano, Lorenzo Di Spazio, Andrea Messori
Publikováno v:
Immunotherapy. 13:95-101
Background: The purpose of this study was to assess the effectiveness of immune checkpoint inhibitors (ICIs) in advanced urothelial carcinoma. Materials & methods: We selected seven cohorts of patients published in four clinical trials. The restricte
Autor:
Daniele Mengato, Luca Cancanelli, Lorenzo Di Spazio, Melania Rivano, Marco Chiumente, Andrea Messori
Publikováno v:
International journal of clinical pharmacology and therapeutics. 60(8)
Autor:
Marco Chiumente, Daniele Mengato, Luca Cancanelli, Lorenzo Di Spazio, Andrea Messori, Melania Rivano
Publikováno v:
Immunotherapy. 14(11)
Background: In PD-L1-negative patients with advanced non-small-cell lung cancer (NSCLC), conclusive evidence in support of specific treatments remains lacking. Objectives: The efficacy of first-line chemoimmunotherapy versus chemotherapy alone was co
Autor:
Andrea Messori, Vera Damuzzo, Melania Rivano, Luca Cancanelli, Lorenzo Di Spazio, Andrea Ossato, Marco Chiumente, Daniele Mengato
Publikováno v:
Cancers. 15:1633
In the area of evidence-based medicine, the IPDfromKM-Shiny method is an innovative method of survival analysis, midway between artificial intelligence and advanced statistics. Its main characteristic is that an original software investigates the Kap