Nutrition
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Review Meta Analysis
Prognostic value of temporal muscle thickness, a novel radiographic marker of sarcopenia, in patients with brain tumor: A systematic review and meta-analysis.
Sarcopenia has been identified as a prognostic factor among certain types of cancer. However, it is unclear whether there is prognostic value of temporalis muscle thickness (TMT), a potential surrogate for sarcopenia, in adults patients with brain tumors. Therefore, we searched the Medline, Embase, and PubMed to systematically review and meta-analyze the relationship between TMT and overall survival, progression-free survival, and complications in patients with brain tumors and the hazard ratio (HR) or odds ratios (OR), and 95% confidence interval (CI) were evaluated. ⋯ Sub-analyses showed that the association existed for both primary brain tumors (HR, 2.02; 95% CI, 1.55-2.63) and brain metastases (HR, 1.39; 95% CI, 1.30-1.49). Moreover, thinner TMT also was the independent predictor of progression-free survival in patients with primary brain tumors (HR, 2.88; 95% CI, 1.85-4.46; P < 0.01). Therefore, to improve clinical decision making it is important to integrate TMT assessment into routine clinical settings in patients with brain tumors.
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Dietary capsaicin from spicy foods has potential benefits for those with cardiometabolic diseases (CMDs). However, to our knowledge there is no evidence linking spicy food consumption with cardiovascular outcomes in individuals with diabetes. The aim of this study was to explore the association between spicy food consumption and the incidence of major adverse cardiovascular events (MACEs) in individuals with diabetes from the CKB (China Kadoorie Biobank) study and to provide evidence-based dietary recommendations for those with CMDs. ⋯ This cohort study revealed that the consumption of spicy food was independently associated with a reduced incidence of adverse cardiovascular events in Chinese adults with diabetes, suggesting a beneficial effect on cardiovascular health. Further studies are needed to confirm the association between the consumption of different doses of spicy food and cardiovascular outcomes and the exact mechanism of action.
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The aim of this systematic review was to investigate whether phase angle (PhA) of bioelectrical impedance is associated with inflammatory markers in cardiovascular diseases (CVDs). ⋯ The present results suggested that PhA is inversely associated with inflammatory markers in individuals with CVDs, and its clinical use is encouraged for better therapeutic planning.
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Polyphenols is a major group of non-nutrients, considering their diversity, occurrence, and biological properties. Polyphenols play essential roles in the prevention of chronic diseases through the mitigation of inflammation, commonly referred to as meta-flammation. Inflammation is the most common feature of chronic diseases such as cancers, cardiovascular disorders, diabetes, and obesity. ⋯ The significant effects of dietary polyphenols in cancers and cardiovascular diseases are evaluated. The interactive possibilities of dietary polyphenols with other dietary food compounds in food systems and their effects are also presented. However, despite several works, estimation of dietary intake is still inconclusive and a major challenge.
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The introduction of ChatGPT has sparked enormous public interest in large language (deep-learning) models, which have been sophisticated enough to perform well on a variety of tasks. One way people are using these models is to construct diets. The prompts often include food restrictions that are an obligatory part of everyday life for millions of people worldwide. ⋯ More common errors involve inaccuracies in portions or calories of food, meals, or diets. We discuss here how the accuracy of large language models could be increased and the trade-offs involved. We propose that prompting for elimination diets can serve as one way to assess differences between such models.