Introduction: Planning a high-stake clinical examination requires the evaluation of several psychometric and logistical variables. The authors conducted generalisability and decision studies to answer the following research questions in the context of the surgical long case: (1) Does the addition of a third examiner have any added benefit, vis-à-vis reliability, to the examination? (2) Is global marking more reliable than an itemised marking template? (3) What would be the impact on reliability if there was a reduction in the number of examinees that each panel of examiners is required to assess?
Methods: A third examiner and global marking were introduced. Separate generalisability and decision studies were carried out for both the two- and three-examiner models as well as for itemised and global scores.
Results: The introduction of a third examiner resulted in a modest gain of reliability by 0.05-0.07. Gain in reliability was higher when each candidate was allowed to undertake a higher number of clinical cases. Both the global and itemised scores provided equivalent reliability (generalisability coefficient 0.74-0.89).
Conclusion: Our results showed that only a modest improvement in reliability of the surgical long case is achieved through the introduction of an additional examiner. Although the reliability of global scoring and the itemised marking template was comparable, the latter may provide opportunities for individualised feedback to examinees.
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BMC Complement Med Ther
January 2025
Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran.
Background: Currently, there is no agreed-upon data collection tool for comprehensively structured documentation of Iranian traditional medicine (ITM) from the information management perspective. As ITM practice varies significantly from current medicine in diagnosis and treatment approaches, it is not appropriate to use data platforms or information systems developed for current medicine. Consequently, the collected data are non-comparable, reducing the verdicts' generalization.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Geriatrics, The Third People's Hospital of Yunnan Province, The Second Affiliated Hospital of Dali University, 292 Beijing Road, Kunming, 650011, Yunnan Province, China.
Sarcopenia is an age-related muscle senescence disease that leads to functional limitations, physical disability and premature death in older adults. Atherogenic index of plasma (AIP) is a novel indicator of atherosclerotic status based on triglycerides and high-density lipoprotein cholesterol. The aim of this study was to investigate the association between AIP and new-onset sarcopenia and its components among middle-aged and older adults in a Chinese community.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Department of Neurology, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing 400000, China.
Background: Autologous fat injection in facial reconstruction is a common cosmetic surgery. Although cerebral fat embolism (CFE) as a complication is rare, it carries serious health risks.
Case Summary: We present a case of a 29-year-old female patient who developed acute CFE following facial fat filling surgery.
Case Rep Dermatol
January 2025
Department of Dermatology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, PR China.
Introduction: Basal cell carcinoma (BCC) is the most common type of skin malignancy, accounting for approximately 80% of all non-melanoma skin cancers (NMSCs). Ultraviolet (UV) exposure is a significant risk factor for BCC development, which typically occurs in sun-exposed areas. BCC arising in non-sun-exposed regions, such as the nipple-areola complex (NAC), is exceedingly rare, with fewer than 100 cases reported globally.
View Article and Find Full Text PDFClin Oral Investig
January 2025
Department of General Surgery and Surgical-Medical Specialties, Section of Orthodontics, University of Catania, Via S. Sofia 68, Catania, 95124, Italy.
Objectives: To conduct a comprehensive bibliometric analysis of the literature on artificial intelligence (AI) applications in orthodontics to provide a detailed overview of the current research trends, influential works, and future directions.
Materials And Methods: A research strategy in The Web of Science Core Collection has been conducted to identify original articles regarding the use of AI in orthodontics. Articles were screened and selected by two independent reviewers and the following data were imported and processed for analysis: rankings, centrality metrics, publication trends, co-occurrence and clustering of keywords, journals, articles, authors, nations, and organizations.
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