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Comparison of definitions of early knee osteoarthritis for likelihood of progression at 2-year and 5-year follow-up: the Multicenter Osteoarthritis Study.
Ann Rheum Dis
January 2025
Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA. Electronic address: https://twitter.com/david_felson.
Background: Preventing worsening osteoarthritis (OA) in persons with early OA is a major treatment goal. We evaluated if different early OA definitions yielded enough cases of worsening OA within 2-5 years to make trial testing treatments feasible.
Methods: We assessed different definitions of early OA using data from Multicenter Osteoarthritis (MOST) Study participants who were followed up longitudinally.
The p16 Immunostaining Predicts the Risk of Recurrence in Prostate Cancer.
Asian Pac J Cancer Prev
January 2025
Postgraduate Program in Oncology, Haroldo Juaçaba Hospital, Ceará Cancer Institute (ICC), Brazil.
Objective: This study aimed to investigate the influence of p16 immunohistochemical expression on the biochemical recurrence rate of pT2-pT3 prostate cancer.
Materials And Methods: A total of 488 pT2-pT3 stage prostate adenocarcinomas undergoing radical prostatectomy were included in this study. Following a review of Gleason classification and retrieval of sociodemographic and clinicopathological data, as well as the date of last consultation and biochemical recurrence, immunohistochemistry for p16 was performed.
A review of international clinical guidelines that inform the use of assistive technology to support adults living with progressive or complex conditions.
Disabil Rehabil Assist Technol
January 2025
Rehabilitation, Ageing and Independent Living (RAIL) Research Centre, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Frankston, Australia.
Methods: A published review protocol guided searches of four electronic databases and 11 CPG portals. CPGs published between January 2012 and September 2023 in English for adults with progressive or complex conditions were included. Recommendations were catalogued according to: author, year and country of publication; grading of recommendations made; number of recommendations made overall and number pertaining to AT; target condition and/or population; age group/s recommendations related to (if specified); type of AT (categorised into "cognition", "communication", "vision", "hearing", "self-care", "mobility", "combination" or "other"); target professions to apply recommendations; evidence grading; and reference to supporting evidence.
View Article and Find Full Text PDFEstablishment and evaluation of a deep learning-based tooth wear severity grading system using intraoral photographs.
J Dent Sci
January 2025
First Clinical Division, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, China.
Background/purpose: Artificial intelligence (AI) can assist in medical diagnosis owing to its high accuracy and efficiency. This study aimed to develop a diagnostic system for automatically determining the degree of tooth wear (TW) using intraoral photographs with deep learning.
Materials And Methods: The study included 388 intraoral photographs.
Periacetabular metastases: Proposed extension of the Harrington classification.
J Orthop
August 2025
Department of Orthopaedic Surgery, Hospital Clínico San Carlos, Spanish National Reference Center for Musculoskeletal Oncological Surgery, Calle Del Prof Martín Lagos, S/N, Moncloa, 28040, Madrid, Spain.
Objectives: To describe the functional outcomes, complications, and reconstruction types in patients with periacetabular metastases and to propose an extension of the Harrington classification.
Methods: Twenty-eight patients (13 males, 15 females) with a mean age of 63.8 ± 15.
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