Lung damage in SARS-CoV-2 patients: An autopsy study in the era of vaccination.

Aims: The contribution of SARS-CoV-2 infection on lung damage and the effect of vaccination on either containing the number of deaths or mitigating lung damage has not been systematically investigated.

Methods: Post-mortem analysis was performed among consecutive in-patients with COVID-19 deceased in the Province of Trieste (2020-2022). The outcomes of the study were (i) rates of in-hospital mortality, (ii) contribution of COVID-19 to death, (iii) histological extent of lung injury and (iv) impact of vaccination.

Prostate Cancer Therapy Cardiotoxicity Map (PROXMAP) for Advanced Disease States: A Systematic Review and Network Meta-analysis with Bayesian Modeling of Treatment Histories.

Background And Objective: Recommendations of first-line therapies for metastatic hormone-sensitive (mHSPC), nonmetastatic castrate-resistant (M0CRPC), and metastatic castrate-resistant (mCRPC) prostate cancer do not account for cardiotoxicity due to a lack of clear prior evidence. This manuscript assesses cardiotoxicity of these therapies.

Methods: We searched Ovid Medline, Elsevier Embase, and the Cochrane Library for randomized clinical trials (RCTs) from database inception to January 14, 2024.

Diarrhoea and constipation during artificial nutrition in intensive care unit: A prospective observational study.

Purpose: To describe the occurrence of gastrointestinal (GI) complications, specifically diarrhoea and constipation, in artificially (enterally or parenterally) fed critically ill patients within their first seven-day stay in Intensive Care Unit (ICU).

Methods: Observational prospective study conducted from September 1st to October 30th, 2019 and from August 1st to October 30th, 2021, in an ICU of a 1000-bed third-level hospital. General characteristics, nutritional variables, and medications administered were recorded and analysed.

Inertia in cognitive processes: the case of the COVID-19 vaccine.

Developments in factor analysis (Spearman in Am J Psychol 15:201-292, 1904); Thurstone in Multiple factor analysis, University of Chicago Press, Chicago, 1947), multidimensional scaling (Torgerson in Theory and methods of scaling, Wiley Hoboken, New Jersey, 1958; Young and Householder in Psychometrika, 3:19-22, 1938), the Galileo model (Woelfel and Fink in The measurement of communication processes: galileo theory and method, Academic Press Cambridge, Massachusetts, 1980), and, more recently, in computer science, artificial intelligence, computational linguistics, network analysis and other disciplines (Woelfel in Qual Quant 54:263-278, 2020) have shown that human cognitive and cultural beliefs and attitudes can be modeled as movement through a high-dimensional non-Euclidean space. This article demonstrates the theoretical and methodological contribution that multidimensional scaling makes to understand attitude change associated with the COVID-19 vaccine.