Medicine
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Observational Study
Relationship between admission blood urea nitrogen levels and postoperative length of stay in patients with hip fracture: A retrospective study.
To investigate the relationship between admission blood urea nitrogen (BUN) levels and postoperative length of stay (LOS) in hip fracture (HF) patients. This retrospective study retrieved related data from the MIMIC-IV database, of which the laboratory variables were taken preoperatively. The patients were divided into 4 groups according to the BUN quartile levels. ⋯ Moreover, receiver operating characteristic curve and decision curve analysis revealed the predictive value of BUN for intensive care unit admission and in-hospital mortality in HF. Admission BUN level as a cost-effective and easy-to-collect biomarker is significantly related to LOS in patients with HF. It helps clinicians to identify potential high-risk populations and take effective preventions before surgery to reduce postoperative LOS.
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Observational Study
Prognostic significance of refractory thrombus in STEMI patients and the role of red cell distribution width: A case-control study.
The high thrombus burden of the infarct-related artery (IRA) is associated with the adverse prognosis in ST-segment elevation myocardial infarction (STEMI) patients. Our objectives were to investigate the predictors and evaluate the prognosis of refractory thrombus in STEMI patients. A total of 1305 consecutive patients with STEMI who underwent primary percutaneous coronary intervention (pPCI) were screened. ⋯ The area under the receiver-operating characteristic curve of the RDW was 0.730 (95%CI: 0.548-0.912, P = .008). During a mean period of 26 months follow-up, patients in the refractory thrombus group tended to have higher percent MACEs compared with patients in the control group (53.3% vs 6.7%, P < .001). In the present study, we found that the refractory thrombus in STEMI patients was associated with the worse prognosis and the increased RDW might be a potential independent predictor.
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There are a growing number of studies on the effect of acupuncture on glial cells in the central nervous system; however, there are few related bibliometric analyses in this area. Therefore, the purpose of this bibliometric study was to visualize the literature on acupuncture-regulated glial cells. ⋯ This bibliometric study mapped a fundamental knowledge structure comprising countries, institutions, authors, journals, and articles in the research fields of acupuncture and glial cells over the last 3 decades. These results provide a comprehensive perspective on the wider landscape of this research area.
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Previous epidemiologic studies have suggested a potential negative correlation between total cholesterol (TC) and Gastric cancer (GC); however, several observational studies have shown conflicting results and have failed to provide definitive evidence for a causal relationship between TC and GC. Therefore, we conducted a 2-sample bidirectional Mendelian randomization (MR) study to explore the genetic correlation and potential causal relationship between the 2 variables. We screened for single nucleotide polymorphisms (SNPs) associated with TC and GC utilizing a large-scale genome-wide association study (GWAS) public database. ⋯ Though heterogeneity was observed in the forward MR analysis (IVW, Qp = 0.0006), the results remained reliable as we utilized the IVW random-effects model as the primary analytical method. Furthermore, inverse MR analysis found no evidence of reverse causality between TC and GC, effectively ruling out the influence of GC on the reverse causality of TC. Our MR study provided evidence of a causal association between TC and GC, suggesting that TC acts as a protective factor against GC due to its negative association with the disease.
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The concept of impact beam plots (IBPs) has been introduced in academia as a means to profile individual researchers. Despite its potential, there has been a lack of comprehensive analysis that evaluates the research profiles of highly published authors through the lens of collaborative maps. This study introduces a novel approach, the rating scale for research profiles (RSRP), to create collaborative maps for prolific authors. ⋯ The study successfully demonstrates that RSRP and IBPs can be effectively used to analyze and profile the research output of highly published authors through collaborative maps. The research confirms the initial hypothesis that all 4 profiles would achieve a grade A, indicating an excellent level of scholarly impact and a strong presence in their respective fields. The utility of collaborative maps can be applied to bibliometric indicators in assessing the contributions and impact of scholars in the academic community.