Systematic review (SR) and meta-analysis, as the highest level of evidence-based medicine, are an indispensable part of guiding medical staff to make medical decisions. At the same time, the status of patients as shared decision-making is rising. At present, the results of SR and meta-analysis are mainly presented in the form of effect (relative risk or mean difference) and forest plot. The expression is not intuitive or professional. The process of evidence-based evidence guiding clinical decision-making lags behind, which cannot meet the needs of rapid decision-making. With the continuous progress in artificial intelligence and big data analysis tools, researchers have attempted to introduce visual presentations to improve the timeliness of clinical decision-making. Through the interpretation of the outcomes of SR and meta-analysis, this paper presents different visualization results from the perspective of patients and clinical decision-makers, which not only helps the majority of people without medical background understand clinical evidence more intuitively and participate in the process of clinical decision-making, but also helps improve residents' health literacy, promotes the dissemination and sharing of knowledge, and provides references for further promoting the technology of automatic decision-making system.
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.
ObjectiveTo analyze the research hotspots and development trends of core outcome set (COS) from 2015 to 2024, providing a reference for future research in this field. MethodsWe retrieved literature on COS research from the Web of Science Core Collection and CNKI spanning January 1, 2015 to December 31, 2024. We extracted and organized data on the number of publications, journals, citation frequency, and keywords using Excel 2021. We performed keyword clustering analysis using VOSviewer 1.6.13 and generated strategic coordinate maps using Bibliometrix 3.13 in R 4.3.1. ResultsWe included a total of 1 288 studies, comprising 1 085 English publications and 203 Chinese publications. From 2015 to 2024, the number of COS publications showed a steady increase. English journals covered a wide range of fields, while Chinese journals were mainly focused on traditional Chinese medicine. High-impact articles primarily focused on COS methodology. Chinese literature mainly concentrated on the application of COS in traditional Chinese medicine, while English literature focused on child health, Delphi surveys, quality of life, and pain. The results of the strategic coordinate map showed that research on acupuncture core outcome indicators, qualitative studies of surgical COS, and Delphi-based COS for quality of life in patients with rheumatoid diseases were relatively weak, with significant room for improvement. ConclusionOver the past decade, COS research has shown a steady growth trend and has gradually become an important tool for improving the standardization and scientific rigor of clinical research. As COS research continues to expand, there is increasing overlap in the scope and findings of different studies. Future research could incorporate umbrella and basket study designs to optimize resource utilization and promote the application of COS in clinical practice.
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.
ObjectiveTo analyze the hotspots and frontiers of oral lichen planus research by bibliometric methods.MethodsWe searched Web of Science Core Collection database to obtain studies on oral lichen planus from inception to January 1st, 2020. After data extraction, Excel 2016 and CiteSpace software were used to carry out descriptive and visual analysis.ResultsA total of 3 105 articles and reviews were included, and the annual publication volume showed a steady growth trend. The research hotspot terms of oral lichen planus were cancer, lesion, and management of the disease. Moreover, pathogenesis, potentially malignant disorder, classification, and diagnosis were defined as novel research frontiers.ConclusionsThrough the bibliometric method, the research hotspots and frontiers of oral lichen planus are displayed intuitively, which provides references for future research.
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 research hotspots and development trends of hospital scientific research management in China, and to provide references for the innovation and development of hospital scientific research management in China. Methods The CNKI database was electronically searched to collect relevant research on scientific research management of domestic hospitals from January 1981 to September 2022. Bibliometrics and CiteSpace software were used for analyze. Results A total of 2 688 articles were included. The trend of publishing hospital scientific research management literature showed four peaks. The institution with the most publications was Peking University People's Hospital. Six authors published more than 15 articles. The most concerned was clinical research. Public hospitals, scientific research projects, and refined management were the latest emerging words. Conclusion The scientific research management of hospitals in China has formed an academic exchange group, but the core author group is small, and there is a lack of cross-institutional cooperation. The innovation mode of scientific research management shows a good development trend, the quantitative index system of scientific research evaluation at all levels is gradually improved, the ability to identify the potential of scientific research talent has been improved, and the cultivation of scientific research management teams needs to be strengthened.
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 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.
Statistical graph is an indispensable part of scientific papers. It is helpful to promote the communication, dissemination, and application of academic achievements by presenting research results intuitively and accurately through standardized and beautiful visual graphs. The safety of a medical intervention is the basic premise of its clinical application, and randomized controlled trial (RCT) as an important design to determine the efficacy and safety of medical interventions, it is extremely important to accurately present the information on the safety outcomes of interventions found therein. However, the research found that the reports of RCTs didn’t adequately use visual graphs to present harms data. In order to promote clinical researchers to better use visual graphs to present harms data, international scholars recently published a consensus study in BMJ, which identified and recommended 10 statistical graphs for presenting harms data in RCTs. In order to facilitate domestic scholars to understand and apply the consensus, this article interprets the consensus and recommendations, and it is expected to provide help for improving the quality of harms visualization in domestic papers of RCTs.