Cognitive impairment causes a delay in diagnosis and treatment of the various cancer entities, resulting in reduced surgical outcomes and patient survival. However, no investigations have been carried out as to whether an association exists between cognitive functioning and tumour size in patients with oral squamous cell carcinoma (OSCC). In this study, 46 patients with OSCC were evaluated by using a screening test for dementia, consisting of a combination of the mini-mental state examination and the clock test (81% sensitivity and 90% specificity). Test scores were correlated with tumour size according to the TNM staging system, which was categorized as being either limited (T1, T2; n=24) or advanced (T3, T4; n=22). No difference in age (P=0.172), sex (P=0.330), the percentage of drinkers (P=0.090) or the percentage of smokers (P=0.484) was evident between the groups. Patients with advanced tumour size scored significantly lower (median 5.5 of 9 possible points) when compared with those having tumours of a limited size (median 9 of 9 possible points; P=0.005). The median score of patients with T3/T4 tumours suggested the need for comprehensive neuropsychological evaluations for dementia. In conclusion, this study has demonstrated the correlation of reduced cognitive functioning in patients with advanced OSCC. As a consequence, instructions for the identification of early signs and of symptoms of oral cancer are strongly recommended for relatives and nursing staff of patients with cognitive impairment. Such patients might need immediate treatment for oral cancer but might not be able to understand the significance of their symptoms and therefore present late, often too late.
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http://dx.doi.org/10.1016/j.oraloncology.2011.08.011 | DOI Listing |
J Neuroinflammation
January 2025
Department of Neuroscience and Experimental Therapeutics, School of Medicine, Texas A&M Health Science Center, Bryan, TX, 77807-3260, USA.
Background: Disturbances of the sleep-wake cycle and other circadian rhythms typically precede the age-related deficits in learning and memory, suggesting that these alterations in circadian timekeeping may contribute to the progressive cognitive decline during aging. The present study examined the role of immune cell activation and inflammation in the link between circadian rhythm dysregulation and cognitive impairment in aging.
Methods: C57Bl/6J mice were exposed to shifted light-dark (LD) cycles (12 h advance/5d) during early adulthood (from ≈ 4-6mo) or continuously to a "fixed" LD12:12 schedule.
BMC Med
January 2025
Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Background: The heterogeneity of cognitive impairments in schizophrenia has been widely observed. However, reliable cognitive boundaries to differentiate the subgroups remain elusive. The key challenge for cognitive subtyping is applying an integrated and standardized cognitive assessment and understanding the subgroup-specific neurobiological mechanisms.
View Article and Find Full Text PDFBMC Complement Med Ther
January 2025
Department of Health Medicine and Caring Sciences, Linkoping University, Linköping, Sweden.
Background: Evidence about rehabilitation of post COVID-19 condition is scarce. Yoga has been found beneficial in other chronic conditions and can be delivered in a digital format at home. The aim of the study was to explore the feasibility of teleyoga in persons with post COVID-19 condition by assessing adherence, safety, limited efficacy and experiences.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Marmara University, İstanbul, Turkey.
Background: No other study has addressed the effectiveness of dual-task training in the postoperative period of total hip arthroplasty (THA). This study investigated the efficacy of dual-task training in older adults with THA.
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Nat Med
January 2025
Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.
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