Research trends of acupuncture therapy for hypertension over the past two decades: a bibliometric analysis

Primary care research on hypertension: A bibliometric analysis using machine-learning

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical condition encountered frequently in daily life, forming a significant area of service in Primary Health Care (PHC), which healthcare professionals often confront. It serves as a precursor to many critical illnesses and can lead to fatalities if not addressed promptly. Our study underscores the importance of this critical issue by analyzing articles related to hypertension in the PHC research area from the Web of Science Core Collection using bibliometric methods and machine learning techniques, specifically topic analyses using the latent Dirichlet allocation method. The analysis was conducted using Python Scikit-learn, Gensim, and Wordcloud Libraries, the VosViewer program, and the Bibliometrix R Biblioshiny library. Our findings revealed a steady increase in publication output in hypertension-related research. Analysis shows that hypertension-related research in the PHC research area is clustered into 8 groups: (1) management of hypertension in PHC, risk factors, and complications; (2) psychiatric disorders and hypertension; (3) pediatric and pregnancy hypertension; (4) environmental factors and living conditions; (5) sex and age effects on hypertension; (6) COVID-19 and hypertension; (7) behavioral risk factors, quality of life, and awareness; and (8) current treatment methods and guidelines. Research on hypertension has focused intensively on kidney disease, obesity, pregnancy, cardiovascular risk, heart disease, calcium channel blockers, body mass index, amlodipine, mortality, risk factors, hyperlipidemia, depression, and resistant hypertension. This study represents the first and comprehensive bibliometric analysis of hypertension in the PHC research area. Annual publication volumes have steadily increased over the years. In recent years, topics such as social determinants, patient attendance, self-management, diabetes mellitus, COVID-19, telemedicine, type 2 diabetes, and noncommunicable diseases have garnered significant interest in the field of PHC services.

The effects of laser acupuncture on metabolic syndrome in obese postmenopausal women: a randomized controlled study

To study the laser acupuncture (LA) effects on postmenopausal obese women's metabolic syndrome. Randomized controlled trial. Benha university hospital. Thirty postmenopausal women were randomized into two equal groups. Group A received a diet regimen and Group B received LA treatment for 30 min three times a week for two months beside the diet regimen. Included weight (W), body mass index (BMI), waist (WC), hip (HC), waist-hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), serum level of total cholesterol (TC), triglycerides (TG), high density lipoprotein (HDL), low density lipoprotein (LDL), fasting blood glucose (FBG), fasting blood insulin (FBI), homeostatic model assessment-insulin resistance (HOMA-IR) before and after the end of treatment. The study's findings showed that both groups experienced a highly statistically significant decrease in the post-testing mean value of W, BMI, WC, HC, WHR, SBP, DBP, TC, TG, LDL, FBG, FBI, and HOMA-IR, while both groups experienced a significant increase in the post-treatment mean value of HDL (p 0.0001). The posttreatment SBP, DBP, TC, TG, LDL, FBS, FBI and insulin resistance were significantly lower while HDL was significantly higher in women who received combined LA and diet regimen compared to those who received dietary regimen only. LA beside the nutritional intervention is a physical therapy technique that may be used safely, easily, and effectively to minimize metabolic syndrome features during menopause.

Intervention of hypertension by acupuncture-related therapies: A network meta-analysis

BACKGROUND

The prevalence of essential hypertension contributed significantly to morbidity and mortality rates. Acupuncture-related therapies were commonly employed in hypertension treatment. Nevertheless, a lack of conclusive evidence left uncertainties regarding the optimal strategies for managing hypertensive populations.

OBJECTIVES

Conduct a comprehensive systematic review to evaluate the existing clinical evidence about the effectiveness of acupuncture and moxibustion-related therapies in managing hypertension, by employing network meta-analysis techniques.

METHODS

A comprehensive electronic search was conducted across n of databases. This search covered studies available up to October 2022. Randomized controlled trials assessing acupuncture and moxibustion-related therapies in managing hypertension based on traditional Chinese medicine were screened. Primary outcome measures included the antihypertensive effectiveness rate, variations in blood pressure and the incorporation of Traditional Chinese Medicine (TCM) syndrome manifestations. The review follows the guidelines outlined in the PRISMA statement.

RESULTS

We identified a total of 24 trials with 1867 patients, which evaluated the efficacy of various acupuncture-related therapies for hypertension management. Network meta-analysis showed that moxibustion and auricular point sticking combined with medication therapy had the best effect in terms of antihypertensive effective rate (medication + moxibustion + auricular pressure vs. medication = 1.29 [1.09, 1.54]; sucra = 85.9, p < .05) and hypertension symptom improvement (medication + moxibustion + auricular pressure vs. medication = -1.55 [-2.98, -0.13]; sucra = 96.1, p < .05). Acupuncture combined with moxibustion combined with medication therapy had the best effect in reducing systolic pressure (medication + moxibustion + acupuncture vs. medication = -8.50 [-10.19, -6.80]; sucra = 100, p < .05) and diastolic blood pressure (medication + moxibustion + acupuncture versus medication = -4.72 [-6.71, -2.72]; sucra = 99.71, p < 0.05).

CONCLUSIONS

Network meta-analysis suggested that the combined use of moxibustion and auricular point application in conjunction with drug therapy showed the highest likelihood of being the most effective treatment in terms of antihypertensive efficiency rates and improvement in hypertension symptoms. Furthermore, the combination of acupuncture and moxibustion alongside drug treatment emerged as the most promising approach for reducing systolic blood pressure and diastolic blood pressure. Limited by the methodological quality and quantity of the included studies, the results need to be interpreted with caution. It is necessary to conduct more high-quality randomized controlled trials of acupuncture-related therapies for the adjuvant treatment of hypertension in the future.

IMPLICATIONS FOR PRACTICE

Clinicians can use acupuncture-related therapies to inform their treatment decisions and potentially incorporate acupuncture-related therapies into their hypertension management protocols.

Opportunities and challenges of computer aided diagnosis in new millennium: A bibliometric analysis from 2000 to 2023

BACKGROUND

After entering the new millennium, computer-aided diagnosis (CAD) is rapidly developing as an emerging technology worldwide. Expanding the spectrum of CAD-related diseases is a possible future research trend. Nevertheless, bibliometric studies in this area have not yet been reported. This study aimed to explore the hotspots and frontiers of research on CAD from 2000 to 2023, which may provide a reference for researchers in this field.

METHODS

In this paper, we use bibliometrics to analyze CAD-related literature in the Web of Science database between 2000 and 2023. The scientometric softwares VOSviewer and CiteSpace were used to visually analyze the countries, institutions, authors, journals, references and keywords involved in the literature. Keywords burst analysis were utilized to further explore the current state and development trends of research on CAD.

RESULTS

A total of 13,970 publications were included in this study, with a noticeably rising annual publication trend. China and the United States are major contributors to the publication, with the United States being the dominant position in CAD research. The American research institutions, lead by the University of Chicago, are pioneers of CAD. Acharya UR, Zheng B and Chan HP are the most prolific authors. Institute of Electrical and Electronics Engineers Transactions on Medical Imaging focuses on CAD and publishes the most articles. New computer technologies related to CAD are in the forefront of attention. Currently, CAD is used extensively in breast diseases, pulmonary diseases and brain diseases.

CONCLUSION

Expanding the spectrum of CAD-related diseases is a possible future research trend. How to overcome the lack of large sample datasets and establish a universally accepted standard for the evaluation of CAD system performance are urgent issues for CAD development and validation. In conclusion, this paper provides valuable information on the current state of CAD research and future developments.

A bibliometric and visual analysis of research trends and hotspots of myocardial apoptosis: A review

BACKGROUND

Recent studies have found that cardiomyocyte apoptosis is closely associated with the pathophysiological development of various cardiovascular diseases, for example chronic heart failure and myocardial infarction. At present, there are many researches in this field, such as pharmacological research, traditional Chinese medicine intervention research and pathway research. However, the relevant research is fragmented, with few comprehensive analysis and systematic combing.

METHODS

The relevant literature on cardiomyocyte apoptosis was downloaded from the Web of Science Core Collection (WoSCC) and PubMed databases. Citespace 6.1.R2 software Microsoft Excel 2019 and VOSviewer1.6.18.0 were used for bibliometric and visual analysis of publication volume, countries, institutions, journals, authors, keywords.

RESULTS

Since 1996, there are 1881 research articles and reviews related to cardiomyocyte apoptosis published by 10,313 researchers from 1648 institutions in 58 countries or regions were included. The number of annual publications showed an upward trend, especially in recent years. Countries participating in this research area include China, the United States, and Japan. Capital Medical University, Harbin Medical University are the key research institution, and other institutions also have substantial contribution on the project as to cardiomyocyte apoptosis. The journal EUR REV MED PHARMACO has a large number of publications, whereas CIRCULATION has the highest number of co-citations. Keywords analysis showed that apoptosis, expression and oxidative stress had higher frequencies, leading to 8 clusters.

CONCLUSIONS

Cardiomyocyte apoptosis is a hot research field in recent years. Through visualization and bibliometric analysis, it is found that this field focus on hotspots like clinical manifestations including heart failure or myocardial infarction, and microscopic mechanisms such as oxidative stress and inflammation.

Artificial intelligence in acupuncture: A bibliometric study

This study aimed to provide a panorama of artificial intelligence (AI) in acupuncture by characterizing and visualizing the knowledge structure, hotspots and trends in global scientific publications. Publications were extracted from the Web of Science. Analyses on the number of publications, countries, institutions, authors, co-authorship, co-citation and co-occurrence were conducted. The USA had the highest volume of publications. Harvard University had the most publications among institutions. Dey P was the most productive author, while lczkowski KA was the most referenced author. The Journal of Alternative and Complementary Medicine was the most active journal. The primary topics in this field concerned the use of AI in various aspects of acupuncture. "Machine learning" and "deep learning" were speculated to be potential hotspots in acupuncture-related AI research. In conclusion, research on AI in acupuncture has advanced significantly over the last two decades. The USA and China both contribute significantly to this field. Current research efforts are concentrated on the application of AI in acupuncture. Our findings imply that the use of deep learning and machine learning in acupuncture will remain a focus of research in the coming years.