Introduction: Oncoanaesthesia is a specialised branch of anaesthesia dedicated to enhancing outcomes, prioritising patient safety and improving the overall care of patients with cancer during surgery. We outline the global epidemiology of cancer, emphasising the necessity for this subspecialty, and discuss the criteria supporting its establishment.
Methods: We performed searches of electronic databases to identify relevant peer-reviewed publications. The search was designed to capture a wide range of study types, including randomised controlled trials; retrospective studies; meta-analyses; and systematic reviews. The titles and abstracts were screened to identify publications relevant to oncoanaesthesia, cancer recurrence and return to intended therapy. The reference lists were manually reviewed to identify relevant papers for consideration.
Results: This review highlights the growth of oncoanaesthesia over the past decade. Research opportunities abound in areas such as: the impact of anaesthesia on cancer recurrence; the use of enhanced recovery after surgery programmes; patient blood management; peri-operative nutrition; techniques for modulating peri-operative inflammatory responses; and strategies to reduce the time to return to intended oncological treatment.
Discussion: By integrating various subspecialties within oncology centres, oncoanaesthesia ensures a thorough and holistic approach to both curative and palliative cancer care, ultimately improving patient outcomes and providing better support for families and caregivers throughout the peri-operative period.
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http://dx.doi.org/10.1111/anae.16496 | DOI Listing |
Despite an increasing number of studies examining the effect of Single-Photon Emission Computed Tomography/ Computed Tomography (SPECT/CT) on improvement of diagnosis of aseptic loosening, there is still a great deal of uncertainty regarding its applicability in diagnostic algorithm. Therefore, in this meta-analysis, we aimed to investigate the diagnostic performance of SPECT/CT for identification of aseptic loosening in patients with persistent pain following the total knee arthroplasty (TKA) and total hip arthroplasty (THA). Electronic databases including Medline, Scopus, Web of Science, Cochrane library, and Embase were systematically searched for identifying relevant published studies from their inception to April 2023.
View Article and Find Full Text PDFThe object is to objectively identify the 100 most influential scientific publications in total knee arthroplasty (TKA) and provide an analysis of their main characteristics. The Clarivate Analytics Web of Knowledge database was used to obtain data and metrics of TKA research. The search list was sorted by the number of citations, and articles were included or excluded based on relevance to TKA.
View Article and Find Full Text PDFInt J Neural Syst
January 2025
Alibaba Cloud, Hangzhou, P. R. China.
Multi-label zero-shot learning (ML-ZSL) strives to recognize all objects in an image, regardless of whether they are present in the training data. Recent methods incorporate an attention mechanism to locate labels in the image and generate class-specific semantic information. However, the attention mechanism built on visual features treats label embeddings equally in the prediction score, leading to severe semantic ambiguity.
View Article and Find Full Text PDFBackground: The aim of the present study was to investigate the willingness of elderly individuals regarding their choice of elderly care modes in underdeveloped regions of Western China and to identify the key factors influencing the willingness.
Methods: We distributed a total of 20 000 questionnaires using the multistage stratified cluster random sampling method, and successfully collected 19 460 of them. After conducting quality checks, we deemed 19 040 questionnaires valid for analysis.
World J Gastrointest Endosc
January 2025
Department of Gastroenterology and Hepatology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.
Background: Recent advancements in artificial intelligence (AI) have significantly enhanced the capabilities of endoscopic-assisted diagnosis for gastrointestinal diseases. AI has shown great promise in clinical practice, particularly for diagnostic support, offering real-time insights into complex conditions such as esophageal squamous cell carcinoma.
Case Summary: In this study, we introduce a multimodal AI system that successfully identified and delineated a small and flat carcinoma during esophagogastroduodenoscopy, highlighting its potential for early detection of malignancies.
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