Objective To investigate the phenotyping of COPD by cluster analysis and evaluate the value of this method.Methods 168 COPD patients were enrolled from Beijing Tongren Hospital. Demographic and clinical data, such as, sex, age, body mass index ( BMI) , smoking index, course of disease,exacerbation rate, and comorbidities were collected. Pulmonary function test, emphysema scoring by HRCT,dyspnea by MMRC score, COPD assessment test ( CAT) score, six-minute walk test were performed for each patient during the stable stage. Cluster analysis was conducted using SPSS 13. 0. Results According to the GOLD criteria,5, 75, 75, and 13 patients were classified into GOLD stage 1, 2, 3, and 4, respectively. There was no difference among different stages in sex distribution, BMI, smoking index, hypertension, and cerebral infarction incidence( P gt; 0. 05) , but the differences in age, disease course, dyspnea score, six-minute walk distance, BODE score, CAT score, coronary heart disease, exacerbation rate, and HRCT emphysema visual score were significant( P lt;0. 05) . By cluster analysis,168 patients were finally classified into three groups:younger/mild, older/ severe, and older/moderate. The patients with the same GOLD stage appeared indifferent clusters and the patients belonging to different GOLD stages could be in the same cluster. There were significant differences among three groups in age, BMI, exacerbation rate, dyspnea score, CAT score, and comorbidities. The result showed that HRCT emphysema visual score was also an important index todifferentiate clusters, suggesting that emphysema was an important phenotype of COPD. Conclusions Cluster analysis can classify homogeneous subjects into the same cluster, and heterogeneous subjects into different clusters. The results suggest that COPD phenotyping by cluster analysis is clinically useful and significant.
Objective To learn the distribution pattern and worldwide research tendency of vitrectomy literatures. Methods Articles were searched from American Institute of Scientific Information (ISI) online database of web of science (WOS) database as a data source, to analyze the age distribution, national and regional, funding agency and citation of the vitrectomy literatures included during the year of 1971 -2011. The analysis software BibExcel and SPSS 19.0 were used to cluster highfrequency of them. Results Totally 8540 literatures were included, the numbers of them were gradually increased since 1971, significantly after 1991. The literatures were mainly in English, the literatures of our country capacity ranked 6th; funded institutions in all article, the National Natural Science Foundation of China ranked No. 5. Citation gradually increased since 1991, increased significantly after 2004. There were 50 highfrequency subjects, and hot topics were clustered into 6 categories which including vitrectomy for diseases of macula lutea, new techniques and complication of vitrectomy, medical treatment and surgical therapy of diabetic retinopathy, cataract, vitrectomy for endophthalmitis caused by intraocular injection and eye injury. Conclusions There is a growing trend on the research of vitrectomy. The hot topics include vitrectomy for diseases of macula lutea, new techniques and complication of vitrectomy. It may provide references for the scholars in scientific research and clinical studies.
Objective To investigate the hot topics of research on evidence-based medicine in 2002. Method To search MEDLINE for papers on evidence-based medicine published in 2002, identify high-frequency subject headings related to research on evidence-based medicine, and cluster the high-frequency subject headings according to rates they appeared in common papers. Results 545 papers, 1 554 subject headings, 30 high-frequency subject headings on evidence-based medicine, and nine clustering categories of high-frequency subject headings were identified through search. Conclusions Both high-frequency subject headings and their clustering categories suggested that “evidence-based practice guidelines and their innovation”, “evidence-based health research and health policy”, “methodology on systematic reviews and randomized clinical trials”, “method of evidence-based decision making and its application in various subjects”, were the hot topics of evidence-based medicine. They provided useful references for Chinese medical professionals to practice evidence-based medicine.
ObjectiveTo analyze the current situation and international research focuses on the study of medical device risk management. MethodsTo retrieve medical device risk management literature information cited from 2002 to 2011 in PubMed such as high-frequency MeSH; analyze current situation and research focuses of medical device risk management by using bibliometrics, bibliographic item co-occurrence matrix builder (BICOMB), and graphical clustering toolkit (gCluto) for quantitative analysis, high-frequency MeSH term papers cluster visualization analysis. ResultsA total of 7 073 published studies were retrieved, basically suggesting a gradually increasing trend of the number of published papers. The top 3 numbers of first authors' papers referred to three countries: the United States, Britain and Germany, while China ranked twelfth. The top 3 numbers of journal articles referred to the United States, Britain and Holland, while China ranked twenty-second. Twenty journals published more than 50 papers, and all these journals were clinical journals. Thirty-three authors published no less than 5 papers, with the maximum of 18 articles. Totally, there were 124 highfrequency MeSHs. The high-frequency MeSHs were classified into 6 categories by using double cluster analysis: kinds 0 to 4 included risk report, risk analysis, risk assessment and methodology of heart valve prosthesis, coronary stents, peripheral vascular stents, implantable defibrillators and other life support device, surgical repair surgical flaps and minimal invasion surgical device such as laparoscopy; kind 5 focused on safety management, risk control, organization and implementation and other related research based on prevention and control of medical device adverse reaction, medical errors, occupation exposure, and equipment failure. ConclusionThe analysis on international literature on medical device risk management basically shows a gradually increasing trend; most studies published in the clinical medicine journals; research focus on risk assessment, safety management and quality improvement in the application such as angioplasty, artificial prosthesis replacement, plastic surgery, minimally invasive surgery and critical care medicine, and radiology diagnosis and treatment; implantable, life-supported invasive and radiological devices as the main research subject; and characteristics include closely combination between medical device risk management and the application of safe and effective, quality improvement systems for clinical diagnosis and treatment.
Objective To set up healthcare device-technology deployment assessment model and procedures through establishing the assessment parameter system between the functions of the clinical technical requirements and devices. Methods The bidirectional assessment parameter system developed by the literature review and Delphi, then combination weighting calculated by the combination weighting method, and the proposals for function deployment performed on the cluster analysis. Results The positive coefficients of twice Delphi were 75.56% and 87.50%, respectively. The effective recovery rates of the questionnaire were higher. The structure of the bidirectional assessment parameter system acquired according to the data mining and review, Delphi and integrated analysis. We calculated the weighting for the required functions and the deployed functions of the ventilator in the ICU, ER and RR. We listed the absolute importance and rank. The proposals for the function deployment of the ventilator which met different needs in fields of the critical care medicine were produced by the cluster analysis, ranking absolute importance and the calibration of weighting based on the investigation for actual function utilized rate. Conclusion It studies healthcare device-technology deployment assessment model by sequential integrated methods and sets up bidirectional assessment parameter system based on clinical technical function requirement, and the result is effective.
Objective To analyze and reveal the domestic and abroad studies on polypoidal choroidal vasculopathy (PCV) by bibliometric. Methods Foreign articles were searched from American Institute of Scientific Information online database of web of science (WOS) database, Chinese articles were searched from China National Knowledge Infrastructure (CNKI) database. The age distribution, national and regional, funding agency and citation of the PCV literatures published before December 31 2012 were analyzed by software Bibexcel and SPSS 17.0. Results Totally 696 literatures were analyzed, including 440 foreign literatures and 256 Chinese literatures. The numbers of foreign literatures were gradually increased since 2000, significantly after 2007, reached the maximum at 2011. The literatures were mainly in English, the number of the literatures of China ranked 4th of all countries. The National Natural Science Foundation of China ranked No.5 of funding agency. Citations gradually increased since 2000, increased significantly after 2008; there were 30 highfrequency subjects, and hot topics were clustered into 5 categories: treatment of PCV, genetics studies of PCV, detection, diagnosis and epidemiology of PCV, relationships between PCV and macular degeneration, related cytokine of PCV. Chinese literatures increased since 2000, significantly after 2006, and reached the maximum at 2010; there were 15 literatures supported by National Natural Science Foundation of China; Citation of Chinese literatures gradually increased since 2001, and reached the maximum at 2012. There were 30 highfrequency subjects, and hot topics were clustered into 5 categories: genetics and cytokine studies of PCV, detection and diagnosis of PCV, treatment of PCV, PCV and macular diseases, PCV and vitreous hemorrhage. Conclusions Literatures of PCV were gradually increased since 2000, abroad and domestic literatures of PCV reached maximum at 2011 and 2010 respectively. The abroad research of PCV focuses on 5 categories: treatment of PCV, genetics studies of PCV, detection, diagnosis and epidemiology of PCV, relationships between PCV and macular degeneration, related cytokine of PCV. The domestic research focuses on genetics and cytokine studies of PCV, detection and diagnosis of PCV, treatment of PCV, PCV and macular diseases, PCV and vitreous hemorrhage.
In the realm of data mining based on modern acupuncture clinical research, the impact of literature features such as literature quality, evidence level, sample size, and clinical efficacy on the quality of data mining outcomes remains uncertain. These issues are significant factors restricting the translational application of data mining research results. We suggest employing both entropy weight and linear weighting techniques to assess the specified indicators. This assessment results in a comprehensive weighted score for acupuncture prescriptions, serving as the foundation for our ensuing data mining endeavors. In this study, migraine research serves as an example to contrast the efficacy of weighted algorithms against that of classical algorithms. The findings demonstrate that the algorithm introduced in this research significantly contributes to studies focusing on the dispersed selection of acupuncture points. Its superiority lies in cluster analysis, where it adeptly discerns potential patterns in the amalgamation of acupoints. This algorithm amalgamates evidence-based acupuncture with data mining processes, providing innovative perspectives that augment the caliber of research in acupuncture data mining. Nonetheless, additional research is essential to corroborate these results.
Objective Based on evidence-based medicine systematic research and literature analysis methods, to make a quantitative and qualitative analysis on Chinese and No-Chinese literatures with subject of Medical Ethics. Concise and analyze the law and trends of subject development, to provide baseline data and decision-making reference for the relevant decision-making and follow-up study. Method We analyzed keywords in medical ethics articles in PubMed and CNKI database, and developed subject charts, research field relationship charts, and strategy coordination charts using word co-occurrence, PFNET algorithms, and visualization methods. Result Literatures collected from PubMed is six times than that from CNKI. Medical ethics research in China, starting later than abroad almost 35 years, is still at the preliminary stage of development. Eight matured research fields are formed as Morals, Ethical review, Physician-Patient relations, clinical trial, euthanasia, medical ethics education, clinical ethics, and health policy outside of China. Comparatively, in China there are only five fields are developed such as Morals, Physician-Patient relations, medical ethics education, bioethics, and medical research. Conclusion Foreign countries more focus on how to employ medical ethics to solve new problems occurred in clinics and medical research, with morals, ethical review, and Physician-Patient relations as the center of research net. Researchers in China pay more attentions on morals and education with morals as the only research net center. So an urgent need is called to make a transition from simply moral research into applied research stressing on both moral education and ethic review.
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.