Medicine
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The literature study was conducted by using the Web of Science (WoS) database, employing bibliometric analysis to examine all papers released from 1980 to 2020. The search was performed using the terms "sepsis, septicemia, septic shock" specifically within the titles of the publications. The findings of the literature research revealed a total of 51,725 articles. ⋯ The findings from the prediction model revealed that the projected number of articles to be published in 2021 is estimated to be 2086, while the projected number for 2030 is estimated to be 2637. The literature has predominantly focused on disease markers and diagnostic methods, severity and effects of the disease, immunity and inflammation, effects of the disease in neonates and the neonatal period, and treatment and care. According to trend analysis results, recent focus in sepsis research includes a broad spectrum of investigations such as mortality rates, prognostic determinants, diagnostic methods, biomarkers, epidemiological insights, critical care strategies, infections, treatment outcomes, emergency department scenarios, pediatric assessments, and antibiotic interventions.
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Poly-L-lactin acid (PLLA) has been widely used in the field of bio-medicine. In 2004, as an injectable material, PLLA was approved by the FDA to treat AIDS-related facial atrophy. ⋯ Recently, PLLA has often been used to treat facial rejuvenation problems like cutaneous depressions and static wrinkles which always induce unsatisfactory facial expression. This review introduces the physicochemical properties, regeneration stimulating mechanism, applications in aesthetics and injectable comorbidity of PLLA.
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Colorectal cancer (CRC) is one of the most prevalent types of malignant tumors. It's vital to explore new biomarkers and potential therapeutic targets in CRC lung metastasis through adopting integrated bioinformatics tools. Multiple cohort datasets and databases were integrated to clarify and verify potential key candidate biomarkers and signal transduction pathways in CRC lung metastasis. ⋯ Two pathways (immune responses and chemokine receptors bind chemokines), 13 key DEGs, 6 hub genes (MMP3, SFTPD, ABCA3, CLU, APOE, and SPP1), and 2 biomarkers (APOE, SPP1) with significantly prognostic values were screened. Forty-nine DEGs were identified as potential candidate diagnostic biomarkers for patients with CRC lung metastasis in present study. Enrichment analysis indicated that immune responses and chemokine receptors bind chemokines may play a leading role in lung metastasis of CRC, and further studies are needed to validate these findings.
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Randomized Controlled Trial
A predictive model for intraabdominal infection after radical gastrectomy in elderly patients.
Gastric cancer (GC) is one of the most common malignant tumors worldwide and the fourth leading cause of cancer-related deaths, with a relatively high incidence among the elderly population. Surgical resection is the mainstay treatment for GC and is currently the only cure. However, the incidence of postoperative intraabdominal infections remains high and seriously affects the prognosis. ⋯ The nomogram constructed based on these factors demonstrated excellent performance in both the training and validation sets. A nomogram model was developed and validated to predict the risk of intraabdominal infection after radical gastrectomy. The model has a good predictive performance, which could help clinicians prevent the occurrence of intraabdominal infections after radical gastrectomy in elderly patients.
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To retrospectively analyze the preoperative and intraoperative influencing factors in predicting the escalation of surgical pathological staging in patients with clinical stage I endometrioid carcinoma. Patients with clinical stage I endometrioid carcinoma at Women's Hospital, School of Medicine, Zhejiang University, between January 2002 and December 2015 were enrolled in this study. Due to preoperative or intraoperative surgical exploration, the patients with one or more preoperative or intraoperative high-risk factors underwent total hysterectomy, bilateral salpingo-oophorectomy and lymphadenectomy, totaling 535 cases. ⋯ The receiver operating characteristic curve drawn with the massive size of tumor and/or the preoperative serum CA125 level abnormality could be used to predict the probability of postoperative pathological upstaging. The results showed that the area from the combination of the 2 factors under the receiver operating characteristic curve was 0.723 (95% confidence interval, 0.672-0.773), suggesting that the combination of massive size of tumor and abnormal preoperative serum CA125 level may serve as an influencing factor for predicting the postoperative pathological staging upgrades. The clinical stage I endometrioid carcinoma patients with massive size of tumor and abnormal preoperative serum CA125 level need to be fully evaluated to ensure appropriate management as soon as possible, since they are more likely to experience postoperative pathological staging upgrades.