Publications by authors named "P Mascagni"
In this study we monitored exposure to airborne dust in workers performing various tasks at two biomass-fuelled thermal power plants (27 and 46 MW) over six years. The plants are mainly fuelled by forest wood chips and, to a lesser extent, by agro-food products, with annual consumption of about 300 and 450 kt. We focused on inhalable wood dust because of its potential carcinogenicity to humans.
View Article and Find Full Text PDFTreatment satisfaction and effectiveness of Lurasidone on quality of life and functioning in adult patients with schizophrenia in the real-world Italian clinical practice: a prospective 3-month observational study.
Ann Gen Psychiatry
November 2024
Background: Although second-generation antipsychotics (SGAs) have proven to be effective therapeutic options for patients with schizophrenia, there is a notable lack of evidence on patients' subjective perspectives regarding their well-being, quality of life, and satisfaction with these medications. This study aimed to evaluate the treatment satisfaction and effectiveness of lurasidone on quality of life and functioning in adult patients with schizophrenia in real-world Italian clinical practice.
Methods: This was a multicentre, national, non-interventional, single-arm, 3-month prospective study.
Background: This cross-sectional analysis intends to evaluate trend and outlook of industry clinical research in Italy regarding dermatology and its prospects for the next few years.
Methods: A computerized search of ClinicalTrial.gov database was carried out considering the 20-year period 2003-2022 using the following string: "Skin Diseases OR Skin cancer OR Skin Neoplasms OR Skin Infection OR Skin Lesion OR Skin Ulcer OR Skin Laxity OR Skin toxicity OR Dermatologic Complication OR Skin abnormalities".
Article Synopsis
- AI has the potential to improve gastrointestinal endoscopy, but standardized methods are needed for its effective adoption in clinical practice.
- The QUAIDE Explanation and Checklist was created by a panel of 32 experts to provide guidelines for designing and reporting AI studies in this field.
- Consensus was achieved on 18 recommendations across key areas including data collection, outcome reporting, experimental setup, and result presentation, aiming to enhance research consistency and facilitate the use of AI in clinical settings.
Article Synopsis
- - The study discusses advancements in laparoscopic right hemicolectomy, emphasizing the importance of complete mesocolic excision (CME) and central vascular ligation (CVL) for colon cancer surgery, particularly based on findings from the CoDIG 1 and CoDIG 2 studies in Italy.
- - Researchers aimed to use machine learning techniques (MLTs) to accurately predict the postoperative length of stay (LoS) for patients undergoing this procedure, training algorithms like random forest (RF) and support vector machine (SVM) on large patient datasets.
- - Results showed that the RF algorithm achieved high accuracy in predicting longer stays, with key predictors identified, such as fast-track protocols and drainage, indicating that MLTs could