Publications by authors named "E Cosenza Biagioli"
Background: At the time of AtTEnd trial design, standard treatment for advanced or recurrent endometrial cancer included carboplatin and paclitaxel chemotherapy. This trial assessed whether combining atezolizumab with chemotherapy might improve outcomes in this population.
Methods: AtTEnd was a multicentre, double-blind, randomised, placebo-controlled, phase 3 trial done in 89 hospitals in 11 countries across Europe, Australia, New Zealand, and Asia.
Objective: The objective of this systematic review was to evaluate the effect of different types of neoadjuvant chemotherapy regimens, in terms of optimal pathological response and oncological outcomes, in patients with locally advanced cervical cancer.
Methods: A systematic search of the literature was performed. MEDLINE through PubMed and Embase databases were searched from inception to June 2023.
Article Synopsis
- The study focuses on understanding the realistic anticipated intervention effects for all-cause mortality in randomized clinical trials by analyzing data from Cochrane Reviews, highlighting the common issue of inflated expectations in various medical specialties.
- The methodology involves including trials that assess all-cause mortality, organizing them into specific Cochrane Review Groups, and performing statistical analyses to determine median relative risks and categorizing them into defined ranges.
- Ethics approval is not needed since only summary data from previously vetted trials will be used, and the study's findings will be shared in an international peer-reviewed journal regardless of the outcomes.
Pharmacogenomics studies how genes influence a person's response to treatment. When complex phenotypes are influenced by multiple genetic variations with little effect, a single piece of genetic information is often insufficient to explain this variability. The application of machine learning (ML) in pharmacogenomics holds great potential - namely, it can be used to unravel complicated genetic relationships that could explain response to therapy.
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