Publications by authors named "B Q Zhang"

Objective: To develop and validate a nomogram model for predicting central venous catheter-related infections (CRI) in patients with maintenance hemodialysis (MHD).

Methods: MHD patients with central venous catheters (CVCs) visiting the outpatient hemodialysis (HD) center of Xuzhou Medical University Affiliated Hospital from January 2020 to December 2023 were retrospectively selected through a HD monitoring system. Patient data were collected, and the patients were divided into training and validation sets in a 7:3 ratio.

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Objective: This research sought to assess the predictive potential of the inflammation-immunity-nutrition score (IINS) and the high-sensitivity C-reactive protein-albumin-lymphocyte (CALLY) index in individuals with NSCLC post-surgery.

Methods: The study enrolled 506 patients with NSCLC undergoing R0 resection at the First Affiliated Hospital of Xi'an Jiaotong University. The training cohort was analyzed utilizing X-tile software to identify the ideal threshold values for categorizing high-sensitivity C-reactive protein, albumin, lymphocyte count, and the CALLY index.

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Proteolysis Targeting Chimeras (PROTACs) are bifunctional compounds that have been extensively studied for their role in targeted protein degradation (TPD). The capacity to degrade validated or undruggable targets provides PROTACs with significant potency in cancer therapy. However, the clinical application of PROTACs is limited by their poor potency and unfavorable pharmacokinetic properties.

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Background: The prevalence of type 2 diabetes (T2D) and asthma is rising, yet evidence regarding the relationship between T2D and asthma, particularly in the context of genetic predispositions, remains limited.

Methods: This study utilized data from the UK Biobank longitudinal cohort, involving 388,775 participants. A polygenic risk score (PRS) for asthma was derived from genome-wide association studies summary.

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Leaf is the main photosynthetic organ at the seedling stage of rapeseed and leaf size is a crucial agronomic trait affecting rapeseed yield. Understanding the genetic mechanisms underlying leaf size is therefore important for rapeseed breeding. In this study, QTL mapping for three traits related to leaf size, i.

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