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Eur Arch Paediatr Dent
January 2025
Qatar University Health, College of Dental Medicine, Qatar University, Doha, Qatar.
Purpose: To review the current evidence on the association between salivary protein profile and dental caries in children during mixed dentition stage.
Methods: This systematic review followed the PRISMA 2020 guidelines. Searches were run in PubMed, Scopus and Embase along with gray literature.
Int Nurs Rev
March 2025
Department of Orthopedics, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China.
Background: Nurses who experience verbal abuse often report negative emotions, which can affect their work status and nurse-patient relationship. However, to the best of our knowledge, no study has summarized the prevalence of verbal abuse among nurses by different perpetrators and related risk factors.
Aim: This review aimed to synthesize the prevalence of verbal abuse among nurses and identify the most common sources and related risk factors.
Learn Health Syst
January 2025
School of Population Health, Faculty of Health Sciences Curtin University Bentley Western Australia Australia.
Introduction: Co-production approaches are increasingly being advocated for as a way of addressing the research translatory gap while including patient and public involvement in development of services they access, and particularly in disability service provision. Embedded research (ER) is a method which integrates the researcher within the target organization to better facilitate both co-production of research outputs and the reduction of the research translation gap. The aim of this reflection is to better understand the commonalities and differences between ER in a disability context to accounts published in academic literature.
View Article and Find Full Text PDFCureus
January 2025
General Practice, Wad Medani Hospital, Wad Medani, SDN.
To enhance patient outcomes in pediatric cancer, a better understanding of the medical and biological risk variables is required. With the growing amount of data accessible to research in pediatric cancer, machine learning (ML) is a form of algorithmic inference from sophisticated statistical techniques. In addition to highlighting developments and prospects in the field, the objective of this systematic study was to methodically describe the state of ML in pediatric oncology.
View Article and Find Full Text PDFHealth Promot Int
January 2025
School of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, New South Wales, 2007, Australia.
Forced migration is increasing globally, which has detrimental effects on the physical and mental health of refugees, who may face significant challenges accessing healthcare services. However, refugees also possess considerable strengths or assets that can protect against various health challenges. Identifying and strengthening the individual health assets of refugees is critical to promoting their health and mitigating these health challenges.
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