Medicine
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Studies of most-cited articles have been frequently conducted on various topics and in various medical fields. To date, no study has examined the characteristics of articles associated with theme classifications and research achievements of article entities related to nursing resilience. This study aims to graphically depict the characteristics of the 100 top-cited articles addressing nurse resilience (T100NurseR), diagram the relationship between articles and author collaborations according to themes extracted from article keywords, and examine whether article keywords are correlated with article citations. ⋯ We present diagrams to guide evidence-based clinical decision-making in nurse resilience based on the characteristics of the T100NurseR articles. Article citations can be predicted using weighted keywords. Future bibliographical studies may apply the 5 visualizations to relevant studies, not being solely restricted to T100NurseR.
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Endovascular surgical procedures require visual-spatial coordination in workspaces with restricted motions and temporally limited imaging. The development of the skills needed for these procedures can be facilitated by 3D simulator-based training. Cerebral angiography (CA) has lagged behind in this training approach due to the lack of validated, realistic training models, relying strictly on clinical case exposure frequency ("number of hours logged") as a means of assessing proficiency. ⋯ No change in aneurysm coiling quality was found, with a slight decrease in number of parent artery coil protrusions. High MRT individuals were better able to establish necessary tools prior to coiling, however, no other MRT-specific changes were seen. This work identifies the utility of simulation-based CA training in identifying the particular difficulties trainees experience in learning procedural skills, including prevention of perforations, proper positioning and success of coils within the aneurysm.
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As in other types of cancer, tumor markers are used in pancreatic ductal adenocarcinoma (PDAC) for disease follow-up, especially after surgery. There has been shown to be a significant correlation between the tumor marker levels and poor prognosis in locally or systemic advanced stage PDAC patients. However, there is no significant correlation between prognosis and marker levels in patients with early stage PDAC patients. ⋯ This cutoff value had a sensitivity of 79.4% and a specificity of 80.3% for lymph node metastasis. Patients with a Ca19-9/CEA ratio below the cutoff value of 28.475 had a mean survival of 93.161 months and those with a value higher than the cutoff value had a mean survival of 28.541 months (P < .001). A simple combination of tumor markers was determined to have higher accuracy rates in predicting tumor prognosis and in determining mean survival, which are particularly needed in early stage cancers.
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Biliary atresia (BA) is a devastating progressive fibro inflammatory disorder in infants. The exact etiology of BA is still unclear. This study aimed screen key genes potentially associated with the occurrence of BA. ⋯ In conclusion, COL3A1, CXCL8, VCAN, THBS2, and COL1A2 are potentially crucial genes in BA. The logistic regression model constructed based on them could predict the BA sample relatively reliably.
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Fatty acid metabolism is an essential part of cancer research due to its role in cancer initiation and progression. However, its characteristics and prognostic value in rectum adenocarcinoma have not been systematically evaluated. We collected fatty acid metabolism gene expression profiles and clinical information from the cancer genome atlas and gene expression omnibus databases. ⋯ The independent hazard ratio of the model was 2.72 and the area under curve was higher than age, gender and tumor stage, showing better predictive efficacy. Our study revealed the heterogeneity of fatty acid metabolism in rectum adenocarcinoma, defined 2 completely distinct subtypes of fatty acid metabolism, and finally established a novel fatty acid metabolism-related risk prognostic model. The study contributes to the early risk assessment and monitoring of individual prognosis and provides data to support individualized patient treatment.