Publications by authors named "Shaojun Duan"

Objective: Unsafe medication practices and medication errors are a major cause of harm in healthcare systems around the world. This study aimed to explore the factors that influence the risk of medication and provide medication risk evaluation model for adults in Shanxi province, China.

Methods: The data was obtained from the provincial questionnaire from May to December 2022, relying on the random distribution of questionnaires and online questionnaires by four hospitals in Shanxi Province.

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In the emergent situation of COVID-19, off-label therapies and newly developed vaccines may bring the patients more adverse drug event (ADE) risks. Data mining based on spontaneous reporting systems (SRSs) is a promising and efficient way to detect potential ADEs to help health professionals and patients get rid of the risk. This pharmacovigilance study aimed to investigate the ADEs of some attractive drugs (i.

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Objective: To systematically evaluate the clinical effect and reliability of linezolid in the treatment of pulmonary tuberculosis complicated with severe pneumonia.

Methods: A comprehensive search was conducted to screen the published literature on linezolid therapy in pulmonary tuberculosis complicated with severe pneumonia in PubMed, Embase, Web of Science, Cochrane Library, and published databases of China National Knowledge Infrastructure. After screening the internal data of the literature, the quality of the literature was assessed uniformly.

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Background: Toll-like receptors (TLRs), a family of innate pattern-recognition receptors, have been exploited as a target for antitumor strategy. An increasing number of TLR agonists, serving as immunotherapeutics or vaccine adjuvants, were developed. This study aimed at exploring the status and trend of current researches on TLR agonists through bibliometric analysis.

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The attachment energy (AE) model was employed to investigate the growth morphology of LiCO under vacuum and water solvent conditions by molecular dynamics simulations. The attachment energy calculation predicted the growth morphology in vacuum dominated by the (1 1 -1), (0 0 2) and (1 1 0) crystal faces. A modified attachment energy model, accounting for the surface chemistry and the corresponding topography of the habit crystal plane, was established to predict the morphological importance of crystal faces in a water solvent.

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