ObjectiveTo analyze the trend, hotspots and frontiers of diabetic retinopathy (DR) therapy by bibliometric method. MethodsData were taken from the Web of Science website of Science Citation Index. Articles from 2017 to 2021, which were related to the therapy of diabetic retinopathy (DR), were included. The bibliometric analysis softwares, VOSviewer and CiteSpace were used to generate and analyze visual representations of the complex data input, including high-frequency keywords, keywords with the strongest citation bursts and co-occurrence networks of keywords. ResultsA total of 3,845 articles were included. The amounts of papers published from 2017 to 2021 is 633, 651, 708, 893, and 960 respectively, increasing over years. Chinese scholars published the most articles, followed by the United States. The number of articles funded by the National Natural Science Foundation of China ranks third. There were 47 high-frequency keywords clustered into DR treatment, pathogenesis of DR, diagnosis of DR, Oxidative stress, diabetic macular edema (DME), type 2 diabetes, optical coherence tomography and deep learning. Those keywords were research hotspots and new keywords were constantly emerging. Among the top 11 burst words, the burst values of “intravitreal bevacizumab”, “vascular endothelial growth factor (VEGF)”, “choroidal neovascularization”, “inhibition”, and “receptors” were all over 10. Highly cited references showed a significant clustering tendency, which were treatment of DME, review of DR, clinical research of anti-VEGF drug therapy. ConclusionsThe amount of paper related to DR therapy is on the rise; the specific treatment methods for the pathogenesis of DR are constantly research hotspots. In addition, formulating treatment strategies to reduce macular edema and other complications of diabetes, applying optical coherence tomography, deep learning and other technologies to improve the efficiency of DR diagnosis and treatment, improve targeted drug delivery systems, and finding new target points were research frontiers.
Objective To analyze the hot spot and future application trend of artificial intelligence technology in the field of intensive care medicine. Methods The CNKI, WanFang Data, VIP and Web of Science core collection databases were electronically searched to collect the related literature about the application of artificial intelligence in the field of critical medicine from January 1, 2013 to December 31, 2022. Bibliometrics was used to visually analyze the author, country, research institution, co-cited literature and key words. Results A total of 986 Chinese articles and 4 016 English articles were included. The number of articles published had increased year by year in the past decade, and the top three countries in English literature were China, the United States and Germany. The predictive model and machine learning were the most frequent key words in Chinese and English literature, respectively. Predicting disease progression, mortality and prognosis were the research focus of artificial intelligence in the field of critical medicine. ConclusionThe application of artificial intelligence in the field of critical medicine is on the rise, and the research hotspots are mainly related to monitoring, predicting disease progression, mortality, disease prognosis and the classification of disease phenotypes or subtypes.
Monitoring airway impedance has significant clinical value in accurately assessing and diagnosing pulmonary function diseases at an early stage. To address the issue of large oscillator size and high power consumption in current pulmonary function devices, this study adopts a new strategy of expiration-driven oscillation. A lightweight and low-power airway impedance monitoring system with integrated sensing, control circuitry, and dynamic feedback system, providing visual feedback on the system’s status, was developed. The respiratory impedance measurement experiments and statistical comparisons indicated that the system could achieve stable measurement of airway impedance at 5 Hz. The frequency spectrum curves of respiratory impedance (R and X) showed consistent trends with those obtained from the clinical pulmonary function instrument, specifically the impulse oscillometry system (IOS). The differences between them were all less than 1.1 cm H2O·s/L. Additionally, there was a significant statistical difference in the respiratory impedance R5 between the exercise and rest groups, which suggests that the system can measure the variability of airway resistance parameters during exercise. Therefore, the impedance monitoring system developed in this study supports subjects in performing handheld, continuous measurements of dynamic changes in airway impedance over an extended period of time. This research provides a foundation for further developing low-power, portable, and even wearable devices for dynamic monitoring of pulmonary function.
Objective To analyze the hot topics and trends of medical research integrity in China and to provide references for future studies. Methods The CNKI, WanFang Data and VIP databases were searched from inception to December 2021. Data on the number of publications, journals, institutions, authors, keywords, and emergent themes were analyzed using bibliometric methods and CiteSpace software. Results A total of 324 studies were included. The results showed that the number of publications increased annually, and "Chinese Journal of Medical Science Research Management" and Peking University were the journal and institution with the most publications, respectively. The three most prolific authors published five studies each, and the publications were mainly concerned with identifying and preventing issues, in addition to education regarding medical research integrity. Conclusion Medical research integrity in China has attracted significant attention. Several leading journals in this research field have emerged; however, there is no clearly dominant research team. The depth and breadth of the research remain to be improved. It is suggested that researchers focus on the effectiveness of strategies for preventing issues, promoting the establishment of the lifelong education system and improving related rules and regulations to advance the development of medical research integrity in China.
ObjectivesTo survey the domestic research situation of evidence-based education through visual studies. To summarize the utilization of education evidence in China and promote the process of evidence-based practice concepts and methods application in social science fields, so as to facilitate the domestic evidence-based research towards more scientific and practical. Methods WanFang Data and CNKI databases were searched to collect evidence-based education literatures from inception to December, 2017. Tableau and UCINET software were used to conduct visual and co-word analysis of study types, regions, staff, time, foundation/government support and key words. The social evidence based research situation was sketched. Results A total of 54 literatures were included. Beijing and Guangdong province published the most literatures, followed by Zhejiang province and Tianjin municipality. The quantity of literatures published in 2014 reached the peak of 11 articles, followed by 2016 and 2017, and relatively few in remaining years. We found that " evidence-based pedagogy” owned the highest frequency through building core keywords matrix. Conclusions Evidence-based education in China is still at an early stage. Introduction and promotion is currently the main content. There exists problems remaining in the development of evidence-based education, for instance disjointedness of theory and practice, regional unbalance, and deficiency of original-research. It is still a long way to go.
ObjectivesTo investigate and analyze the status of pediatric internal medicine clinical practice guidelines published in journals of mainland China from 2010 to 2017.MethodsCBM, CNKI, VIP and WanFang Data databases were electronically searched to collect pediatric internal medicine clinical practice guidelines published in Chinese journals of mainland China from January 2010 to December 2017. Two reviewers independently screened literature, extracted data. The author's information was organized and co-word matrixes were produced using BICOMS 2 software. The visualization diagram was plotted using Ucinet 6.0 software to analysze the societal relationship of authors.ResultsA total of 135 pediatric clinical guidelines were included, involving 109 western medical guidelines, 24 Chinese traditional medicine guidelines and 2 guidelines on integrated traditional Chinese and western medicine. The main types of clinical practice guidelines for children were diagnosis and treatment (45.19%), followed by technical guidelines (15.56%). Most of the guidelines were on respiratory diseases (23.70%). 54.81% of the guidelines for children were formulated by seminars and consensus, and 28.89% of the guidelines mentioned the application of evidence-based methods to develop guidelines. The institutes (40.00%) were participated in the development of the guidelines, in which 11 research groups were participated in the development of the guidelines.ConclusionsThe quantity of pediatric internal medicine clinical practice guidelines in mainland China has increased from 2010 to 2017. The scope of the guidelines is limited, and cooperation is required to further improve the quality of children’s guidelines.
Objective To analyze the advancement and trends of English literature on elderly integrated care, and provide a reference for related research and practice in China. Methods Web of Science database was searched for English literature on elderly integrated care published between 1977 and 2000, and then CiteSpace software was applied to analyze and graphically present the articles to understand the chronological development, publishing institutions, research hotspots, key articles and so on. Results A total of 1177 English research papers on elderly integrated care were included. The yearly quantity of articles increased significantly since 2016. More than 100 articles had origin in the Unite State of America, the Netherland, the United Kingdom, and Canada, respectively; the organizations of those researches were mainly single programs, and the research fields were relatively scattered. The high-frequency keywords of these articles were health care, quality of life, primary care, home care, community, chronic disease, long term care, mental health, etc, and the burst terms were long term care, case management, quality of life, community, rehabilitation, telehealth, all inclusive care, etc. According to the centrality of co-citation clustering, the top one article was World Report on Ageing and Health published by the World Health Organization. Conclusions Elderly integrated care has been paid increasing international attention. In recent years, integrated care, transitional care, case management and telecare have become research hotspots. With the key policies of people-centred and integrated health services, primary care, and community-level interventions, typical countries have developed basic models of elderly integrated care. The above theories and experiences can provide references for the practice of elderly integrated care in China.
Epigenetics refers to the modification effect of external and internal environmental factors on genes under the premise of the unaltered genetic sequence, leading to changes in gene expression level or function, and thereby affecting various phenotypes or disease outcomes. In recent years, epigenetics has attracted increasing attention. Among them, DNA methylation has been shown to be closely related to human development and the development of disease. However, the high-dimensional omics data generated by genome-wide methylation detection can comprehensively reflect the overall and local epigenetic modifications at the genome level, which has become one of the main research contents in this field. Based on genome-wide methylation chip data, this paper summarized the quality control process of this omics data, common epigenetic omics correlation statistical analysis methods and ideas, and visualization realization of main results based on SAS JMP Genomics 10 software, so as to provide reference for similar studies.
ObjectivesTo analyze and track the hotspots and frontiers of the field of frailty by analyzing the related research published by SCI-journals in recent decade.MethodsData of publications from 2010 to 2019 were retrieved from the Web of Science Core Collection database. CiteSpace was used to analyze the hotspots and frontiers of frailty research from high-impact countries/regions, institutions, authors, high-frequency keywords and burst terms.ResultsA total of 12 768 publications were identified. The United States was the leading country for publications. Research hotspots focused on adverse health outcomes associated with frailty, interventions, and frailty in elderly patients and females. Besides, frailty assessment and screening, cohort study, meta-analysis and cognitive impairment were the frontier fields.ConclusionsAdverse health outcomes associated with frailty, interventions, and frailty in elderly patients and females are the hotspots and frontiers of frailty research.
It is difficult to distinguish the inferior alveolar nerve (IAN) from other tissues inside the IAN canal due to their similar CT values in the X image which are smaller than that of the bones. The direct reconstruction, therefore, is difficult to achieve the effects. The traditional clinical treatments mainly rely on doctors' manually drawing the X images so that some subjective results could not be avoided. This paper proposes the partition reconstruction of IAN canal based on shape features. According to the anatomical features of the IAN canal, we divided the image into three parts and treated the three parts differently. For the first, the directly part of the mandibular, we used Shape-driven Level-set Algorithm Restrained by Local Information (BSLARLI) segment IAN canal. For the second part, the mandibular body, we used Space B-spline curve fitting IAN canal's center, then along the center curve established the cross section. And for the third part, the mental foramen, we used an adaptive threshold Canny algorithm to extract IAN canal's edge to find center curve, and then along it established the cross section similarly. Finally we used the Visualization Toolkit (VTK) to reconstruct the CT data as mentioned above. The VTK reconstruction result by setting a different opacity and color values of tissues CT data can perspectively display the INA canal clearly. The reconstruction result by using this method is smoother than that using the segmentation results and the anatomical structure of mental foramen position is similar to the real tissues, so it provides an effective method for locating the spatial position of the IAN canal for implant surgeries.
