Current status and prospects of diabetes mellitus induced erectile dysfunction: A bibliometric and visualization study

Zhang, Lei; Bao, Binghao; Guo, Jianqiang; Qin, Zhongjian; Huang, Haonan; Chen, Lu; Liu, Baoxing

doi:10.3389/fendo.2023.1168744

Cited by 8 publications

(5 citation statements)

References 66 publications

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“…Smoking, alcoholism, hypertension, diabetes mellitus, and hyperlipidemia are all risk factors for ED and CHD. The pathogenesis is related to a decrease in vasodilatory factors (nitric oxide, hydrogen sulfide) and an increase in vasoconstrictive factors (angiotensin II, endothelin 1, and aldosterone) ( 32 ), which involves various pathways, such as oxidative stress and endothelial damage, neurovascular damage and repair, and endocrine dysfunction ( 33 , 34 ). With regard to anxiety and depressive states, the degree of ED increases with the degree of anxiety and depression in patients; anxiety and depressive states can significantly lead to psychogenic ED, and brain network analysis in this group of patients shows obvious abnormalities ( 35 ).…”

Section: Discussionmentioning

confidence: 99%

Does erectile dysfunction predict cardiovascular risk? A cross-sectional study of clinical characteristics in patients with erectile dysfunction combined with coronary heart disease

Li,

Zhang,

et al. 2024

Front. Cardiovasc. Med.

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BackgroundErectile Dysfunction (ED) is a common sexual dysfunction in men who are unable to consistently obtain and maintain sufficient penile erection to accomplish a satisfactory sexual life. ED is currently considered to be a predictor of cardiovascular disease (CVD), but few studies have observed the association between ED and clinical features of coronary heart disease (CHD). An investigation of the association between ED and clinical characteristics of CHD was carried out using a cross-sectional study design.MethodsThis cross-sectional single-center study was conducted in the Department of Cardiology and included 248 patients. Associations between patients' general information, underlying disease information, coronary heart disease information, and ED severity were statistically and analytically analyzed using SPSS 26.0 software. Patients with comparable clinical characteristics were grouped together using K-means clustering. Finally, ordered logistic regression analysis was performed for general and underlying disease information.ResultsIn the comparison of general data, age, education, and weekly exercise were associated with the distribution of ED severity. In the comparison of underlying disease information, the number of underlying diseases, hypertension, diabetes, hyperlipidemia, anxiety state, and depressive state were associated with the distribution of ED severity. In the comparison of CHD information, the degree of ED severity was associated with CHD subtypes, lesion sites, number of stenoses, degree of stenosis, and interventional interventions. The time from ED to CHD onset was associated with the subtypes of CHD and the number of stenoses. We clustered the main characteristics of low-risk and high-risk patients and ordered logistic regression analysis found that BMI, smoking, alcoholism, number of underlying diseases, diabetes, anxiety state, and depression state were all risk factors for CHD severity (P < 0.05); the higher the value of the above factors, the more severe the degree of CHD. Age was a protective factor for CHD severity; the younger the patient, the lower the likelihood of myocardial infarction.ConclusionED severity and the time from ED to CHD onset may be predictive of coronary heart disease severity. Reducing smoking and alcohol consumption, maintaining a healthy body weight, and regular physical activity are important in preventing CVD in ED patients.

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Section: Discussionmentioning

confidence: 99%

Does erectile dysfunction predict cardiovascular risk? A cross-sectional study of clinical characteristics in patients with erectile dysfunction combined with coronary heart disease

Li,

Zhang,

et al. 2024

Front. Cardiovasc. Med.

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“…However, WOS is the most authoritative and comprehensive database to date and is commonly used for scientometric analysis. [ 35 ] Second, a few related articles published in Chinese were excluded, which may have influenced our conclusions. Furthermore, owing to the rapid development of nonpharmaceutical TCM therapies for RA, related research is frequently updated.…”

Section: Discussionmentioning

confidence: 99%

Bibliometric and visualized analysis of nonpharmaceutical TCM therapies for rheumatoid arthritis over the last 20 years using VOSviewer and CiteSpace software

Sun,

Yin,

Zhu

et al. 2023

Medicine

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Background: Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease that poses a significant threat to a patient’s quality of life. Commonly used drugs include glucocorticoids, nonsteroidal anti-inflammatory drugs, disease-modifying antirheumatic drugs, and biological agents; however, there are associated side effects. Complementary and alternative medicines can play positive roles. Bibliometric analysis of herbal medicines for RA has been conducted, but current research trends in nonpharmaceutical traditional Chinese medicine (TCM) therapies for the treatment of RA have not been studied. Here, we conducted a bibliometric analysis of the application of nonpharmaceutical TCM therapies for RA over the last 20 years. Methods: We retrieved relevant literature from the Web of Science Core Collection database and used VOSviewer and CiteSpace software for analysis. Visualized maps were then generated to display the relationships between the author, country, institution, and keywords. Results: A total of 567 articles were included in the final analysis. The number of annual publications on nonpharmaceutical TCM interventions for RA increased over the study period. The journal with the highest number of publications on this topic was Evidence-based Complementary and Alternative Medicine; however, Cochrane Database of Systematic Reviews had the most citations. Collaborations were observed among worldwide institutions, with the People’s Republic of China playing a dominant role in the research on treatment of RA using nonpharmaceutical TCM therapies. Ernst E was the most productive author, with 11 articles, whereas Green S had the highest number of citations (287) at the time of retrieval. Specific improvements in the efficacy and selection of nonpharmaceutical therapies were the main research hotspots based on citation burst analysis. Conclusion: This study characterizes the trends in the literature for nonpharmaceutical TCM therapy for RA over the past 20 years; showcasing the current research status for relevant researchers and their teams and providing a reference for future research directions.

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“…The program has three visualization modules: network, overlay, and density. A density visualization map was used to show the frequency of keywords in a certain study region, with the size of the circle denoting frequency and the color denoting density (Wang et al, 2018;Guan et al, 2021;Zhang et al, 2022;Xiao, 2023;Braun, 2022;Zhang, 2023). The intensity view is important because each point in the network map has a different meaning in terms of the hue.…”

Section: Figure 3: Network Visualization Map Of Abstract Used In Iot ...mentioning

confidence: 99%

ANALYSIS OF GLOBAL RESEARCH TRENDS IN THE INTERNET OF THINGS (IoT) AREA WITH NETWORK MAP TECHNIQUE

AKSU

Akman

2023

Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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The Internet of Things (IoT) has emerged as a transformative technology paradigm that connects billions of devices, enabling seamless communication and data exchange. The study used the Web of Science Core Collection database to uncover global research trends in the IoT. The data in the study were visualized using the VOSviewer software, and bibliometric analysis was performed using the network map technique. The study aims to examine global research trends in IoT, examine IoT-related studies in social sciences, examine the status of IoT studies, especially in management and public administration, and guide researchers who aim to work on this subject. In the study, 87,397 studies on IoT between 2002 and 2022 were examined, and 1162 studies were included by limiting the studies to management and public administration. Studies were categorized and analyzed concerning fields of study, departments, years of publication, keywords, authors, and the most cited authors.

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Current status and prospects of diabetes mellitus induced erectile dysfunction: A bibliometric and visualization study

Cited by 8 publications

References 66 publications

Does erectile dysfunction predict cardiovascular risk? A cross-sectional study of clinical characteristics in patients with erectile dysfunction combined with coronary heart disease

Does erectile dysfunction predict cardiovascular risk? A cross-sectional study of clinical characteristics in patients with erectile dysfunction combined with coronary heart disease

Bibliometric and visualized analysis of nonpharmaceutical TCM therapies for rheumatoid arthritis over the last 20 years using VOSviewer and CiteSpace software

ANALYSIS OF GLOBAL RESEARCH TRENDS IN THE INTERNET OF THINGS (IoT) AREA WITH NETWORK MAP TECHNIQUE

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