ABSTRACT
Bone lengthening technique is one of the core surgical technique for skeletal lengthening and reconstruction. It is widely used in the treatment of nonunion, segmental bone defect, bone infection, congenital or post-traumatic limb length differences, and hand-foot deformity correction. Until today, the surgical techniques and devices of bone lengthening are improving over time, and it is to improve the quality of treatment and reduce complications. However, the bone lengthening technique is different from the treatment for other orthopedic diseases, and it has the following feature, including requiring multiple steps, longer treatment course, and application of external fixator. This article will summarize the hot research in the field of bone lengthening treatment in recent years and provide reference for future clinical treatment.
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Objective To analyze the history and present situation of international medical device with visualization softwareto provide references for medical device development in China.Methods CiteSpace visualization software was used to explore international literatures related to medical device from the aspects of yearly quantity,research direction,research organization,quoted literature and etc from 2005 to 2014.Results Medical device drew increasing attention from corresponding researchers,whose development depended on international cooperation.Medical device related closely to engineering and medicine,and had to paid attention to informatization and clinical requirements.Conclusion CiteSpace software is of great value for the study on medical device.
ABSTRACT
Papers published by 70 public hospitals in Jilin Province from 2011 to 2015 were retrieved from CNKI, China Citations Database, and Wanfang Database. The scientific papers and their research hot spots were analyzed in aspects of the total number of published papers and different institutions-published papers, high output authors, cited papers, journals that published the papers, and foundation-supported papers in order to provide reference for subsequent research and policy-making.
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Objective To mine the relation between leukemia and genes using Weka. Methods The papers on leuke-mia and genes were retrieved from PubMed, their subject headings and subheadings were extracted using BICOMB to generate co-occurrence matrix and term-paper matrix. The research hotspots were found by cluster analysis of the data on co-occurrence matrix using Weka and Cobweb. The literature was verified. Results The 42 high fre-quency words were clustered into 7 classes by Weka. No high frequency words of leukemia or genes were found in classes 1, 2, 4 and 5, indicating that their clustering efficiency was poor. The clustering efficiency of the other 3 classes was good. Conclusion Cluster analysis showed that leukemia is related with myc gene, ab1 gene, p53 gene, virus gene, immunoglobulin gene and mdm gene.