[A study of visual expression on ulinastatin usage].
OBJECTIVE
To comprehensively understand the situation of research of the use of ulinastatin in clinical treatment, and to display the results with visual images.


METHODS
The keywords of Bikunin, Ulinastatin, Urinastatin, urinary trypsin inhibitor in association with disease, treatment, therapy were searched with search engine from several academic websites with June 30th, 2012 (for English literature) or January 31st, 2013 (for Chinese literature) as the deadline. Bibexcel extracting keywords of diseases and that involving pathophysiology and biology accompanying the diseases and treatment mechanism of the diseases were used. Diseases were classified by ICD10, and the keywords of treatment mechanism were classified according to researchers' understanding and therapist suggestion. Word co-occurrence matrix of diseases and treatment mechanism words were constructed, and were expressed more accurately and intuitively by analyzing multidimensional scaling (MDS). Data were analyzed and charts were produced respectively using UCINET, SPSS 20.0 and Excel 2013 software.


RESULTS
A total of 3 660 articles were included for the analysis, including 1 428 in English and 2 232 in Chinese. In English literature, 97 diseases with 796 times were analyzed and 17 disease categories distributed in ICD10. In Chinese literature, 220 diseases with 2 153 times were analyzed and 14 disease categories distributed in ICD10. Seventy-four and 33 words involving treatment mechanism were respectively from English and Chinese literature, respectively, which could be roughly divided into three categories: immunity/inflammation, coagulation and genetic/metabolic. The word co-occurrence matrix analysis and MDS showed that the key word for mechanism of treatment appeared widely in different diseases, and a single disease might be expressed with different terms, while different diseases might have common foundation for ulinastatin treatment, though the foci of indication were also different. All data were found to be able to form visual images according to the aim of investigation.


CONCLUSIONS
According to the data retrieved in this study, the field of ulinastatin treatment was quite widespread, involving hundreds of diseases, which were distributed in more than 10 categories of ICD10, and almost 100 keywords involving treatment mechanism were found. Although those diseases were varied, they have a common therapeutic foundation based on the word co-occurrence matrix analysis. All the present data were successfully transformed into visual image expression to achieve the goal of this study. On the other hand, the resolving methods and problems used in this study will be helpful for further similar studies.
Department of Epidemiology and Bio-statistics, School of Public Health, Peking University, Beijing 100191, China. Corresponding author: Lin Si-han, Email: silverlam@126.com.
Si-han
SH
Lin
Si-yan
SY
Zhan
D016208:Databases, Factual; D006023:Glycoproteins / Q000627:therapeutic use*; D006801:Humans
D006023:Glycoproteins; C028665:urinastatin