Current medical research and opinion
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In Jordan, individuals recently diagnosed with chronic illnesses have expressed concerns with regard to COVID-19 vaccines. This study aims to investigate potential associations between COVID-19 vaccination and the likelihood of recipients developing chronic conditions such as autoimmune diseases, rheumatoid arthritis, diabetes, asthma, and hypertension. ⋯ This study highlights an association between the occurrence of autoimmune diseases and COVID-19 vaccination, while findings related to diabetes, asthma, and hypertension did not display significant associations. The results emphasize the necessity for further research to ascertain potential causal relationship.
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This cross-sectional survey was performed to assess the prevalence, factors, and economic burden of non-severe hypoglycemia among insulin-treated type 2 diabetes (T2D) patients in northern Thailand. ⋯ These findings help to individuate those patients who are at higher risk of non-severe hypoglycemia in insulin-treated T2D patients. Compared to the non-hypoglycemia group, patients with hypoglycemia were younger, had longer diabetes duration, lower BMI, received thiazolidinedione and insulin regimens such as premix, basal plus, or basal bolus insulins, and more productivity loss.
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Observational Study
Clinical outcomes and medical resource utilization of toripalimab combination therapy versus bevacizumab plus chemotherapy in advanced non-squamous non-small cell lung cancer.
This study aimed to evaluate the real-world clinical efficacy and safety, economic burdens and medical resource utilization (MRU) of toripalimab treatment patterns compared with bevacizumab plus chemotherapy (BCP) for patients with advanced non-squamous NSCLC in China. ⋯ Toripalimab combination therapy could significantly prolonged PFS for patients with advanced non-squamous NSCLC compared with BCP, but at the expense of more MRU, costs and AEs.
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To develop a machine learning-based predictive algorithm to identify patients with type 2 diabetes mellitus (T2DM) who are candidates for initiation of U-500R insulin (U-500R). ⋯ This study successfully developed and validated a machine learning-based algorithm to identify U-500R candidates among patients with T2DM. This may help health care providers and decision-makers to understand important characteristics of patients who could use U-500R therapies which in turn could support policies and guidelines for optimal patient management.
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Large language models (LLMs) such as ChatGPT-4 have raised critical questions regarding their distinguishability from human-generated content. In this research, we evaluated the effectiveness of online detection tools in identifying ChatGPT-4 vs human-written text. ⋯ The study demonstrates that while automatic detection tools may discern texts generated by ChatGPT-4 significant variability exists in their accuracy. Undoubtedly, there is an urgent need for advanced detection tools to ensure the authenticity and integrity of content, especially in scientific and academic research. However, our findings underscore an urgent need for more refined detection methodologies to prevent the misdetection of human-written content as AI-generated and vice versa.