胶质瘤治疗热点的文献计量学分析

目的:脑胶质瘤是脑肿瘤中最常见的肿瘤，现目前常规治疗方式是手术切除辅以术后放化疗，但难以切除干净且易复发，预后不良。在此，我们将根据已发表的文献对胶质瘤的治疗领域进行热点及发展趋势研究。方法:我们检索了5年内与胶质瘤治疗主题最相关的13 017篇文献作为研究样本，通过Bicomb软件进行高频词分析及提取，建立了词篇矩阵及共词矩阵，使用gCluto软件对高频词矩阵进行双聚类分析及可视化分析得到热点领域的类别，并利用共词矩阵来构建胶质瘤治疗热点的战略坐标。结果:我们构建了54个高频主题词/副主题词与13 017篇文献的词篇及共词矩阵，并根据双聚类分析结果绘制了“山峰图”。通过共词矩阵及聚类分析得到的结果，计算出了各个热点在战略坐标中的密度和向心度。结论:在本研究中，我们总结了“胶质瘤的治疗”热点分为4类，同时，通过计算分析我们得出结论:胶质瘤的药物治疗是潜在热点领域，具有较大的潜在研究价值，处于探索阶段，有待更深入的研究。

Analysis of literatures on treatment of glioma research

Objective:Glioma is the most common tuomr of brain neoplasms.It is difficult to remove by operation.At the same time，it is also easy to recur and the prognosis is poor.Therefore，a hotspot and trend development study was attempted on the treatment area of glioma in accordance with the literatures.Methods:13 017 samples of literature which were most related to the treatment of glioma within the past 5 years were selected 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 gCluto software.Meanwhile，strategy coordinates for hotspot research were conducted using a co-word matrix.Results:A total of 54 high frequency words，text and co-word matrix were conducted within the 13 017 literatures.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.Conclusion:The research concluded four categories for the treatment of glioma.Additionally，calculation results showed that the relationship between the prognosis of glioma and the hematological prognosis was in the fourth quadrant in the strategic diagram，that means it was the potential hotspot area for the treatment of glioma.This conclusion provides potential value for future exploratory stages of study.