Objective: Increasing numbers of people are expected to live with comorbid cancer and dementia. Cancer treatment decision-making for these individuals is complex, particularly for those lacking capacity, requiring support across the cancer care pathway. There is little research to inform practice in this area. This ethnographic study reports on the cancer decision-making experiences of people with cancer and dementia, their families, and healthcare staff.
Methods: Participant observations, informal conversations, semi-structured interviews, and medical note review, in two NHS trusts. Seventeen people with dementia and cancer, 22 relatives and 19 staff members participated.
Results: Decision-making raised complex ethical dilemmas and challenges and raised concerns for families and staff around whether correct decisions had been made. Whose decision it was and to what extent a person with dementia and cancer was able to make decisions was complex, requiring careful and ongoing consultation and close involvement of relatives. The potential impact dementia might have on treatment understanding and toleration required additional consideration by clinicians when evaluating treatment options.
Conclusions: Cancer treatment decision-making for people with dementia is challenging, should be an ongoing process and has emotional impacts for the individual, relatives, and staff. Longer, flexible, and additional appointments may be required to support decision-making by people with cancer and dementia. Evidence-based decision-making guidance on how dementia impacts cancer prognosis, treatment adherence and efficacy is required.
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http://dx.doi.org/10.1002/pon.5448 | DOI Listing |
Geroscience
January 2025
Dept. of Bioinformatics, Semmelweis University, 1094, Budapest, Hungary.
Age-related cognitive impairment and dementia pose a significant global health, social, and economic challenge. While Alzheimer's disease (AD) has historically been viewed as the leading cause of dementia, recent evidence reveals the considerable impact of vascular cognitive impairment and dementia (VCID), which now accounts for nearly half of all dementia cases. The Mediterranean diet-characterized by high consumption of fruits, vegetables, whole grains, fish, and olive oil-has been widely recognized for its cardiovascular benefits and may also reduce the risk of cognitive decline and dementia.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of Biosciences and Bioinformatics, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Melatonin is a hormone released by the pineal gland that regulates the sleep-wake cycle. It has been widely studied for its therapeutic effects on Alzheimer's disease (AD), particularly through the amyloidosis, oxidative stress, and neuroinflammation pathways. Nevertheless, the mechanisms through which it exerts its neuroprotective effects in AD are still largely unknown.
View Article and Find Full Text PDFCureus
January 2025
Department of Otorhinolaryngology, Jikei University Kashiwa Hospital, Kashiwa, JPN.
Objectives: Although several studies have reported the treatment prognosis in squamous cell carcinoma of the head and neck, few studies exist on the prognosis and mortality-related risk factors in untreated cases. This study aimed to determine the outcomes of patients with head and neck squamous cell carcinoma who underwent no treatment and investigate the associated factors.
Methods: This retrospective, single-institution study initially included 718 patients with head and neck cancer who visited our hospital between January 2015 and December 2021; 43 untreated patients were included in the final analysis.
Brain Res Bull
January 2025
School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China; Guangdong Province Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan. Electronic address:
The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses of schizophrenia, but most of these studies ignored the cooperative interactions and topological attributes of multi-omics networks. In this study, we constructed three types of brain graphs (BGs), three types of gut graphs (GGs), and nine types of brain-gut combined graphs (BGCGs) for each individual. We proposed a novel methodology of multi-omics graph convolutional network (MO-GCN) with an attention mechanism to construct a classification model by integrating all BGCGs.
View Article and Find Full Text PDFBiol Psychiatry Cogn Neurosci Neuroimaging
January 2025
School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China; Guangdong Province Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan. Electronic address:
Background: The detection of abnormal brain activity plays an important role in the early diagnosis and treatment of major depressive disorder (MDD). Recent studies have shown that the decomposition of the electroencephalography (EEG) spectrum into periodic and aperiodic components is useful for identifying the drivers of electrophysiologic abnormalities and avoiding individual differences.
Methods: This study aimed to elucidate the pathologic changes in individualized periodic and aperiodic activities and their relationships with the symptoms of MDD.
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