Department of Emergency Medicine, General Hospital of Shenyang Military Command, Shenyang, Liaoning, China (mainland).
Medical Oncology Department of Gastrointestinal Cancer, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China (mainland).
Med Sci Monit. 2018 Aug 5;24:5427-5436. doi: 10.12659/MSM.908950.
Sepsis is a common life-threatening pathological process. However, the transformation efficiency of studies on the treatment of sepsis is relatively low. Therefore, a hotspot and trend development study was attempted on the treatment area of sepsis in accordance with the literature. We selected 2511 studies most related to the treatment of sepsis within the past 5 years as research samples. Text and co-word matrix were established by analyzing and selecting high-frequency words using BICOMB software. Classifications in hotspot areas were obtained through biclustering and visual analysis of high-frequency words using Ggluto software. Strategy coordinates for hotspot research were conducted using a co-word matrix. A total of 41 high-frequency words, text, and co-word matrix were conducted within the 2511 studies. A peak map was drawn based on biclustering analysis. The density and concentricity of each hotspot were calculated using the result of the co-word matrix and biclustering analysis. The research concluded 4 categories and 9 aspects for the treatment of sepsis. Additionally, calculation results showed that the relationship between the prognosis of sepsis and the hematological prognosis was in the fourth quadrant of the strategic diagram, that means it was the potential hotspot area for the treatment of sepsis. This conclusion provides potential value for future exploratory stages of study.
脓毒症是一种常见的危及生命的病理过程。然而,脓毒症治疗研究的转化效率相对较低。因此,根据文献尝试对脓毒症治疗领域进行热点和趋势发展研究。我们选择了过去 5 年内与脓毒症治疗最相关的 2511 项研究作为研究样本。使用 BICOMB 软件对高频词进行分析和选择,建立文本和共词矩阵。使用 Ggluto 软件通过高频词的双聚类和可视化分析获得热点区域的分类。使用共词矩阵进行热点研究的策略坐标。对 2511 项研究中的 41 个高频词、文本和共词矩阵进行了分析。根据双聚类分析结果绘制了一个峰图。使用共词矩阵和双聚类分析的结果计算每个热点的密度和同心度。研究结果得出了脓毒症治疗的 4 个类别和 9 个方面。此外,计算结果表明,脓毒症预后与血液学预后之间的关系处于战略图的第四象限,这意味着它是脓毒症治疗的潜在热点领域。这一结论为未来的研究探索阶段提供了潜在价值。
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