A5103058486- MicroRNA in disease regulation
- COVID-19 and Mental Health
- Mindfulness and Compassion Interventions
- Extracellular vesicles in disease
- Adrenal and Paraganglionic Tumors
- Digital Mental Health Interventions
- Data-Driven Disease Surveillance
- Advanced Causal Inference Techniques
- Artificial Intelligence in Healthcare and Education
- Health Systems, Economic Evaluations, Quality of Life
- Palliative Care and End-of-Life Issues
- COVID-19 epidemiological studies
- Acute Lymphoblastic Leukemia research
- Statistical Methods in Clinical Trials
- Machine Learning in Healthcare
- Electrospun Nanofibers in Biomedical Applications
- Lymphoma Diagnosis and Treatment
- Statistical Methods and Inference
- Viral-associated cancers and disorders
- Computational and Text Analysis Methods
- Colorectal and Anal Carcinomas
- Statistical Methods and Bayesian Inference
- Complementary and Alternative Medicine Studies
- Cardiomyopathy and Myosin Studies
- Hormonal Regulation and Hypertension
University of Padua
2022-2024
Public Health Department
2024
University of Turin
2021-2024
Fondazione Edo ed Elvo Tempia
2022
Differentiated vulvar intraepithelial neoplasia (dVIN) is a high-risk preinvasive lesion and precursor of human papillomavirus-independent squamous cell carcinoma (VSCC). Due to its rarity, literature data on malignant potential are scant. The aim the study assess risk developing VSCC in patients surgically treated for dVIN not associated with (solitary dVIN) recurrence (dVIN-VSCC) at first diagnosis.
Abstract Context Because of the rarity adrenocortical cancer (ACC), only a few population-based studies are available, and they reported limited details in characterization patients their treatment. Objective To describe nationwide cohort presentation with ACC, treatment strategies, potential prognostic factors. Methods Retrospective analysis 512 diagnosed 12 referral centers Italy from January 1990 to June 2018. Results ACC as incidentalomas accounted for overall 38.1% cases, frequency that...
Researchers commonly use automated solutions such as Natural Language Processing (NLP) systems to extract clinical information from large volumes of unstructured data. However, text's poor semantic structure and domain-specific vocabulary can make it challenging develop a one-size-fits-all solution. Large Models (LLMs), OpenAI's Generative Pre-Trained Transformer 3 (GPT-3), offer promising solution for capturing standardizing information. This study evaluated the performance InstructGPT,...
In the past 2 years, number of scientific publications has grown exponentially. The COVID-19 outbreak hugely contributed to this dramatic increase in volume published research. Currently, text mining SARS-CoV-2 and is limited first months outbreak. We aim identify major topics literature collected from several citational sources analyze temporal trend November 2019 December 2021.We performed an extensive search on SARS-Cov-2 PubMed, Scopus, Web Science (WoS) a structural topic modelling...
Abstract Background Patients with cancer often face depression and anxiety, mindfulness-based interventions, including internet-based versions, can effectively reduce these symptoms improve their quality of life. This study aims to investigate the impact interventions (e-MBIs) on depression, stress in patients prostate or breast cancer. Objective The primary are assess association between amount variety e-MBI practices symptom reduction. Second, this examine how baseline information such as...
<sec> <title>UNSTRUCTURED</title> This study aims to investigate the impact of Internet-based Mindfulness-Based Interventions (e-MBIs) on anxiety, depression, and stress symptoms in prostate breast cancer patients. The primary are assess association between amount variety e-MBI practices symptom reduction. Secondly, examine how baseline information such as sociodemographic characteristics dispositional mindfulness (DM) self-compassion (DSC) correlate with both app usage Data from NEVERMIND...
The prognostic impact of catheter ablation (CA) atrial fibrillation (AF) in hypertrophic cardiomyopathy (HCM) patients has not yet been satisfactorily elucidated. aim the study was to assess CA AF on clinical outcomes a large cohort HCM patients. In this retrospective multicenter study, 555 with were enrolled, 140 undergoing and 415 receiving medical therapy. 1:1 propensity score matching led inclusion 226 (113 group, 113 intervention group) final analysis. primary outcome composite...
Abstract Disclosure: S. Puglisi: None. A. Calabrese: F. Ferraù: Y. Alessi: M. Laganà: Grisanti: Ceccato: C. Scaroni: G. Di Dalmazi: Stigliano: B. Altieri: L. Canu: Luconi: P. Loli: De Martino: E. Arvat: Palmieri: Perotti: V. Basile: Berchialla: Urru: Berruti: Pia: Reimondo: Cannavò: Terzolo: Background: Whether environmental pollution may influence adrenocortical carcinoma (ACC) development remains largely unknown. The aim of this study was to evaluate the impact exposition pollutants on ACC...
Abstract Objectives Compassion is acknowledged as a key component of high-quality palliative care, producing positive outcomes for both patients and healthcare providers. The development the Sinclair Questionnaire (SCQ) fulfilled need valid reliable tool to measure patients’ experience compassion. To validate Italian version SCQ evaluate its psychometric properties in sample cancer with life expectancy less than 4 months. Methods Cronbach’s alpha estimates were computed internal reliability....
R-CHOP standard chemotherapy is successful in about 60% of diffuse large B-cell lymphoma (DLBCL) patients. Unresponsive patients have a poor prognosis, and predictive biomarkers response to are lacking. We conducted the first prospective GWAS study aimed at exploring constitutional efficacy toxicity. Overall, 216 any-stage chemonaïve DLBCL candidate were enrolled. The median age 185 eligible was 59.2 years, 49.7% women 45.4% stage I-II According Revised International Prognostic Index...
Testing for the SARS-CoV-2 infection is critical tracking spread of virus and controlling transmission dynamics. In early phase pandemic in Italy, decentralized healthcare system allowed regions to adopt different testing strategies. The objective this paper assess impact extensive symptomatic individuals their contacts on number hospitalizations against a more stringent strategy limited suspected cases with severe respiratory illness an epidemiological link COVID-19 case. A Poisson...
Patients are the most important actors in clinical research. Therefore, patient preference information (PPI) could support decision-making process, being indisputable for research value, quality, and integrity. However, there is a lack of clear guidance or consensus on search studies. In this blueprint, an openly available regularly updated management system integrated database (PPMSDB) that contains minimal set data sufficient to provide detailed each study (the so-called evidence tables...
In a randomized controlled trial (RCT) with binary outcome the estimate of marginal treatment effect can be biased by prognostic baseline covariates adjustment. Methods that target odds ratio, allowing for improved precision and power, have been developed. The performance different estimators in frequentist (targeted maximum likelihood estimator, inverse-probability-of-treatment weighting, parametric G-computation, semiparametric locally efficient estimator) Bayesian (model averaging),...