• The Korean Journal of Pain
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• v.31 no.4
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• pp.253-260
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• 2018

Background: One of the most frequent problems caused by diabetes is the so called painful diabetic neuropathy. This condition can be treated through numerous types of therapy. The purpose of this study was to analyze, as a meta-analysis, different treatments used to alleviate painful diabetic neuropathy, with the aim of generating results that help making decisions when applying such treatments to tackle this pathology. Methods: A search was conducted in the main databases for Health Sciences, such as PUBMED, Web of Science (WOS), and IME biomedicina (Spanish Medical Reports in Biomedicine), to gather randomized controlled trials about treatments used for painful diabetic neuropathy. The analyzed studies were required to meet the inclusion criteria selected, especially those results related to pain intensity. Results: Nine randomized controlled trials were chosen. The meta-analysis shows significant positive effects for those treatments based on tapentadol [g: -1.333, 95% CI (-1.594; -1.072), P < 0.05], duloxetine [g: -1.622, 95 % CI (-1.650; -1.594), P < 0.05], pregabalin [g: -0.607, 95% CI (-0.980; -0.325), P < 0.05], and clonidine [g: -0.242, 95 % CI (-0.543; -0.058), P < 0.05]. Conclusions: This meta-analysis indicates the effectiveness of the treatments based on duloxetine, gabapentin and pregabalin, as well as other drugs, such as tapentadol and topic clonidine, whose use is better prescribed in more specific situations. The results provided can help increase the knowledge about the treatment of painful diabetic neuropathy and also in the making of clinical practice guidelines for healthcare professionals.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.386-398
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• 2017

The purpose of this study was to examine what kind of changes adolescents experienced in the process of returning from the school dropout. For this purpose, 'Qualitative Meta-Analysis' was conducted for seven papers of this area, which was published in Korean journals as a method. 'Qualitative Meta-Analysis' is a method of presenting new interpretations by synthesizing qualitative studies on the same topic. In this study, the qualitative research on the process of returning from the school dropout was selected. The final articles selected for the analysis were seven articles published in domestic journals. The results obtained by comparing and analyzing the selected individual papers were as follows. For adolescents, a series of the process of returning from school dropout was 'self-growth through introspection and support.' In this process, there were five stages of change: abandonment, drifting, self-awareness, decisive action, and struggles. Relevant factors that led to this change were self-perception, the awareness of a reality, resources and support. Based on these results, the characteristics of each step were explained and discussed. Finally, the implications and limitations of the study were clarified and the follow-up study was proposed for more detailed examination.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.1-12
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• 2017

The purpose of this study is to investigate the trends of the start-up research in Korea. To accomplish this, meta-analysis was carried out using text mining methodology by dividing the entrepreneur-related master's and doctoral theses registered in RISS into the first term of entrepreneurship research by 2009 and the second term of entrepreneurship research from 2010. As a result of this study, it can be seen from the three different analysis that the entrepreneurship education and government policy and support are the subject of continuous research topics in the whole period and that the researches on small business start-ups have been studied continuously and conducted more in the second half. In addition, empirical analysis is strengthened in the latter stage of entrepreneurial research. The TF-IDF analysis reveals that many researches on veterans have been carried out in the field of entrepreneurship research, and in the latter period, it was found that many studies related to the elderly were conducted with cultural contents and aging society. In addition, research on brand-related research has been carried out throughout the entire period, and research on venture-related research, characteristics of entrepreneurs, entrepreneurship motivation and start-up strategy have been conducted a lot and female entrepreneurship was also studied. In the latter period, we have emphasized entrepreneurial achievements and found that research on start-ups such as industry-academia cooperation, start-up investment, and social enterprise diversified. This study is meaningful to apply the method which is becoming a recent issue such as text mining and topic analysis to the meta-analysis related to start-up. Future research will need to be undertaken on a variety of more detailed topics related to entrepreneurship.

• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

• Archives of Craniofacial Surgery
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• v.25 no.2
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• pp.51-61
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• 2024

Background: The influence of smoking on nonsyndromic clefts has been a topic of research for many years. However, few studies have investigated the effect of smoking on causing clefts in different gene pools. Methods: A meta-analysis was conducted of case-control studies related to smoking. Keywords such as "clefts," "cleft lip," "cleft palate," "orofacial cleft," and "smoking" were used to search the MEDLINE, Embase, and Cochrane databases. Results: In total, 51 articles were reviewed. The RevMan software was utilized for the analysis, and the Mantel-Haenszel method was employed to pool the odds ratios (ORs) and 95% confidence intervals. Although the overall OR, a measure of the association between exposure and outcome, was higher for smokers than for non-smokers, this association was significantly stronger in individuals from Asia and South America (1.73), and lowest in Europe (1.31). Among active and passive smokers in Asia, the OR was approximately 0.93, indicating an equivalent impact from both types of smoking. Conclusion: This analysis indirectly suggests that restriction measures targeting both active and passive smoking are crucial in Asia.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2033-2038
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• 2016

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. The important issue of a meta-analysis is not the significance test, the effect size of the predictor variable on the criterion variable. We reviewed a total of 236 samples among 6 studies published on the topic related Collagen intake on skin between 2000 and 2016 in Korea. The results of the study are summarized as follows. First, we concluded that the path between before and after of Sebum (SB) had the largest effect size of (r = .416) Therefore, the effect of the Collagen intake intervention showed an explanatory power of 17 (%) about. Next, the path between before and after of Moisture (MS) had the higher the effect size of (r = .318). Thus, we present the theoretical and practical implications of these results.

• Journal of Korean Medicine Rehabilitation
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• v.29 no.3
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• pp.15-33
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• 2019

Objectives The objective of this study is to provide the evidence of the effectivness of herbal medicine for frozen shoulder. Methods 2 Korean medical on-line databases (Oriental Medicine Advanced Searching Integrated System, Korean Traditional Knowledge), and 3 foreign databases (Pubmed, Cochrane library, China National Knowledge Infrastructure) were searched to find articles concerning herbal medicine for frozen shoulder. We selected randomized controlled trials (RCTs). Several repeated articles and those not relevant to the topic were excluded, as well as review articles and commentaries. The methodological quality of RCTs were evaluated using the Cochrane risk of bias tool and meta-analyes were perfomed. Results Total 474 studies were founded and 22 RCTs were selected for systematic review. Efficiency rate was used as the primary evaluation method. Almost studies reported that herbal medicine has significant effect on pain reduction, increasing shoulder function on frozen shoulder. 3 studies comparing herbal medicine and chuna with chuna and 3 studies comparing herbal medicine with ibuprofen were included in the meta-analysis. At herbal medicine and chuna with chuna meta-analysis, it showed positive results of herbal medicine for efficiency rate (risk ratio: 1.18, 95% confidence interval: 1.09-1.27, p<0.0001). At herbal medicine with ibuprofen medta-analysis, it showed positive results of herbal medicine for efficiency rate (risk ratio: 1.15, 95% confidence interval: 1.05-1.27, p=0.003). Conclusions The studies showed that herbal medicine can significantly effective on frozen shoulder. However, the risk of bias in RCTs were evaluated as uncertain. In the future, further well-designed RCTs are needed to prove the effectiveness of herbal medicine for frozen shoulder and reduce the risk of bias.

• Journal of East-West Nursing Research
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• v.26 no.2
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• pp.118-129
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• 2020

Purpose: The purpose of this study was to analyze the topic trend of domestic simulation nursing education research using text network analysis(TNA). Methods: This study was conducted in four steps. TNA was performed using the NetMiner (version 4.4.1) program. Firstly, 245 articles from 4 databases (RISS, KCI, KISS, DBpia) published from 2008 to 2018, were collected. Secondly, keyword-forms were unified and representative words were selected. Thirdly, co-occurrence matrices of keywords with a frequency of 2 or higher were generated. Finally, social network-related measures-indices of degree centrality and betweenness centrality-were obtained. The topic trend over time was visualized as a sociogram and presented. Results: 178 author keywords were extracted. Keywords with high degree centrality were "Nursing student", "Clinical competency", "Knowledge", "Critical thinking", "Communication", and "Problem-solving ability." Keywords with high betweenness centrality were "CPR", "Knowledge", "Attitude", "Self-efficacy", "Performance ability", and "Nurse." Over time, the topic trends on simulation nursing education have diversified. For example, topics such as "Neonatal nursing", "Obstetric nursing", "Pediatric nursing", "Blood transfusion", "Community visit nursing", and "Core basic nursing skill" appeared. The core-topics that emerged only recently (2017-2018) were "High-fidelity", "Heart arrest", "Clinical judgment", "Reflection", "Core basic nursing skill." Conclusion: Although simulation nursing education research has been increasing, it is necessary to continue studies on integrated simulation learning designs based on various nursing settings. Additionally, in simulation nursing education, research is required not only on learner-centered educational outcomes, but also factors that influence educational outcomes from the perspective of the instructors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.140-141
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• 2017

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. Thus, Big data analysis is an effective analysis of various big data that exist all over the world such as social big data, machine to machine (M2M) sensor data, and corporate customer relationship management data. In the big data era, it has become more important to effectively analyze not only structured data that is well organized in the database, but also unstructured big data such as the internet, social network services, and explosively generated web documents, e-mails, and social data in mobile environments. By the way, a meta analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We reviewed a total of 750 samples among 50 studies published on the topic related as IDT between 2000 and 2017 in Korea.

• Journal of the Korean Society of Food Culture
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• v.37 no.3
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• pp.196-212
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• 2022

This study examines the trend of research on food and culture in papers published in the Journal of The Korean Society of Food Culture from 1986 to 2020. The journals published a total of 329 papers, which we classified into 5 main categories and 13 middle categories. Of these, 204 articles were on "Korean traditional food culture." The most studied topic in the entire period was "Perception of Koreans towards traditional food, preference, satisfaction, and usage." A total of 76 studies related to "Korean contemporary food culture." The most advanced topic researched concerned "Recognition and attitude"; these studies were consistently carried out throughout the research period. The main classification of "World food culture" encompassed 32 studies, with major research focused on "World's Modern Food Culture" and the most advanced being "Comparison of Food Cultures of Foreign and Korean Food Cultures." All studies were consistently spaced out during the study period. These studies provide an integrated knowledge in the field of food and culture and can be used as a basic material for related research in the future.