Annals of medicine
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The combination of granulocyte-colony stimulating factor (G-CSF) and plerixafor is one of the approaches for hematopoietic stem cell mobilization in patients with multiple myeloma (MM), non-Hodgkin's lymphoma (NHL), and Hodgkin's lymphoma (HL). This systematic review and meta-analysis aimed to determine the ability of G-CSF + plerixafor to mobilize peripheral blood (PB) CD34+ cells and examine its safety profile. ⋯ This study suggests that the combination of G-CSF and plerixafor, resulted in more patients with MM, NHL, and HL, achieving the predetermined apheresis yield of CD34+ cells, which is related to the more effective mobilization of CD34+ cells into PB.
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Inflammatory bowel diseases (IBD), comprising ulcerative colitis and Crohn's disease, have a profound impact on people's lives. This study aims to investigate the perceived impact of IBD on sexual life and family planning to enhance understanding of the interplay between IBD, sexuality, intimacy and family planning to foster a better quality of life for those living with the condition. ⋯ This is the first study concerning the sexuality and family planning of people with IBD in the Czech Republic. It highlights the need for information and open communication from professionals.
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28-55% of chronic hepatitis B (CHB) patients belong to the grey zone (GZ). By analyzing the pathological characteristics of the liver of patients in the GZ, this study clarified whether the patients in the GZ need anti-hepatitis B virus treatment. ⋯ More than 1/3 of the patients in GZ need anti-hepatitis B virus treatment. More than half of GZ-B patients need anti-hepatitis B virus treatment. It is very necessary to carry out rescue anti-hepatitis B virus treatment for patients in GZ as soon as possible.
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Infectious diseases are a major threat for human and animal health worldwide. Artificial Intelligence (AI) combined algorithms including Machine Learning and Big Data analytics have emerged as a potential solution to analyse diverse datasets and face challenges posed by infectious diseases. In this commentary we explore the potential applications and limitations of ML to management of infectious disease. ⋯ We propose potential solutions to mitigate these hurdles and applications of ML to identify biomolecules for effective treatment and prevention of infectious diseases. In addition to use of ML for management of infectious diseases, potential applications are based on catastrophic evolution events for the identification of biomolecular targets to reduce risks for infectious diseases and vaccinomics for discovery and characterization of vaccine protective antigens using intelligent Big Data analytics techniques. These considerations set a foundation for developing effective strategies for managing infectious diseases in the future.
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Cholangiocarcinoma (CCA) is a malignant tumor originating in the bile duct and its branching epithelium. Due to its high heterogeneity, there are no specific clinical indications at the early stage, the diagnosis is often in advanced CCA. With surgical resection, the 5-year postoperative survival rate (long-term survival rate) is very poor. ⋯ However, the current targeted therapy of CCA still has many challenges, such as adverse reactions, drug resistance, and individual differences. Therefore, the researches need to further explore the targeted therapy mechanism of CCA malignancies in depth, develop more effective and safe drugs, and accurately formulate plans based on patient characteristics to further improve patient prognosis in the future. This article reviews the recent progress of targeted therapy for CCA, aiming to provide a strategy for the research and clinical work of targeted therapy for CCA.