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http://dx.doi.org/10.1016/j.accpm.2020.11.001 | DOI Listing |
Surgery
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy; Department of Hepatobiliary & General Surgery, IRCCS Humanitas Research Hospital, Milan, Italy. Electronic address:
Background: Communicating vessels among hepatic veins in patients with tumors invading/compressing hepatic veins at their caval confluence facilitate new surgical solutions. Although their recognition by intraoperative ultrasound has been described, the possibility of preoperative detection still remains uncertain. We aimed to develop a model to predict their presence before surgery.
View Article and Find Full Text PDFJCO Oncol Pract
January 2025
School of Nursing, Fudan University, Shanghai, China.
Purpose: To explore strategies related to cancer-related financial toxicity (FT) from the perspectives of cancer survivors and stakeholders in China and to evaluate their views within the context of the social ecological model (SEM).
Methods: Between March and July 2022, we conducted a descriptive qualitative study with semistructured interviews of 23 cancer survivors and 14 stakeholders. Qualitative content analysis on the basis of the SEM was used to analyze the data with NVivo 12.
PLoS One
January 2025
School of Nursing, Anhui Medical University, Hefei, Anhui, China.
Objective: To evaluate and compare the readability of information on different treatment options for breast cancer from WeChat public accounts, propose targeted improvement strategies based on the evaluation of the results of the various treatment options, and provide a reference for producers of WeChat public accounts from which to write highly readable information regarding breast cancer treatment options.
Methods: With "breast cancer" as keywords in April 2021, searches were implemented on Sogou WeChat website (https://weixin.sogou.
PLoS One
January 2025
Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Ad Diriyah, Riyadh, Kingdom of Saudi Arabia.
Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to prevent severe complications. While accurately predicting diabetes onset or progression remains challenging due to complex and imbalanced datasets, recent advancements in machine learning offer potential solutions. Traditional prediction models, often limited by default parameters, have been superseded by more sophisticated approaches.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
January 2025
School of Rehabilitation Therapy, Queen's University, Kingston, Ontario, Canada.
This article explores the existing research evidence on the potential effectiveness of lipreading as a communication strategy to enhance speech recognition in individuals with hearing impairment. A scoping review was conducted, involving a search of six electronic databases (MEDLINE, Embase, Web of Science, Engineering Village, CINAHL, and PsycINFO) for research papers published between January 2013 and June 2023. This study included original research papers with full texts available in English, covering all study designs: qualitative, quantitative, and mixed methods.
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