In adenocarcinoma of esophagogastric junction (AEG), the relationship between tumor size (TS) and lymph node metastasis (LNM) is unclear. This study aimed to explore the relationship between TS and LNM, and to construct a prediction model for LNM. Data from 4649 Siewert type II AEG patients were retrospectively acquired from the Surveillance, Epidemiology, and End Result (SEER) database.
View Article and Find Full Text PDFWe aimed to investigate the association between optimal examined lymph node (ELNs) and overall survival to determine the optimal cutoff point. Cox models and locally weighted scatterplot smoothing were used to fit hazard ratios and explore an optimal cutoff point based on the Chow test. Overall survival increased significantly with the corresponding increase in the number of ELNs after adjusting for covariates.
View Article and Find Full Text PDFPurpose: Tumors with lymphovascular invasion (LVI) are thought to be associated with lymph node metastasis and to lead to a worse prognosis. However, the effect of LVI on the prognosis of adenocarcinoma of esophagogastric junction (AEG) is still unclear.
Patients And Methods: We retrospectively analyzed 224 consecutive patients with non-metastatic AEG who underwent radical surgery in our hospital from 2004 to 2018.
Novel 2D polydopamine nanosheets were successfully prepared by using a simple but effective "bottom-up" synthesis method. The ultrathin polydopamine nanosheets exhibit excellent multiple free radical scavenging activities including DPPH˙ and ABTS˙+ free radicals, especially O2˙-. Full-thickness skin defect regeneration was accelerated by treatment with the nanosheets.
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