Global diabetic kidney disease research from 2000 to 2017

Zou, Lu-Xi; Sun, Ling

doi:10.1097/md.0000000000014394

Cited by 38 publications

(33 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…WOS contains various characteristics that can be used for bibliometric study, including title, author, institution, country/region, publication year, and keywords [ 9 ]. WOS has been recently receiving more attention as a reliable data source for bibliometric analysis in the biomedical domain, with applications in clinical and bench science research questions (eg, cardiovascular disease, diabetic kidney disease, and long noncoding RNA) [ 8 , 16 , 17 ]. On October 6, 2019, we conducted a publication search in WOS to find publications using the following search strategy: TS=“mobile health app*” OR (TS=“mobile app*” AND TS=(“health*” OR “medic*” OR “clinic*” OR “hospital*”)).…”

Section: Methodsmentioning

confidence: 99%

“…Bibliometric analysis has been widely used in quantitative analysis of academic literature to describe the hot spots, trends, and contributions of scholars, journals, and countries/regions [ 5 - 8 ]. Co-word analysis, proposed in the late 1970s [ 9 , 10 ] as an important bibliometric technique, can identify the main themes, investigate hot spots, and detect knowledge in literature.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis

Peng¹,

He²,

Cutrona³

et al. 2020

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

Background Due to the widespread and unprecedented popularity of mobile phones, the use of digital medicine and mobile health apps has seen significant growth. Mobile health apps have tremendous potential for monitoring and treating diseases, improving patient care, and promoting health. Objective This paper aims to explore research trends, coauthorship networks, and the research hot spots of mobile health app research. Methods Publications related to mobile health apps were retrieved and extracted from the Web of Science database with no language restrictions. Bibliographic Item Co-Occurrence Matrix Builder was employed to extract bibliographic information (publication year and journal source) and perform a descriptive analysis. We then used the VOSviewer (Leiden University) tool to construct and visualize the co-occurrence networks of researchers, research institutions, countries/regions, citations, and keywords. Results We retrieved 2802 research papers on mobile health apps published from 2000 to 2019. The number of annual publications increased over the past 19 years. JMIR mHealth and uHealth (323/2802, 11.53%), Journal of Medical Internet Research (106/2802, 3.78%), and JMIR Research Protocols (82/2802, 2.93%) were the most common journals for these publications. The United States (1186/2802, 42.33%), England (235/2802, 8.39%), Australia (215/2802, 7.67%), and Canada (112/2802, 4.00%) were the most productive countries of origin. The University of California San Francisco, the University of Washington, and the University of Toronto were the most productive institutions. As for the authors’ contributions, Schnall R, Kuhn E, Lopez-Coronado M, and Kim J were the most active researchers. The co-occurrence cluster analysis of the top 100 keywords forms 5 clusters: (1) the technology and system development of mobile health apps; (2) mobile health apps for mental health; (3) mobile health apps in telemedicine, chronic disease, and medication adherence management; (4) mobile health apps in health behavior and health promotion; and (5) mobile health apps in disease prevention via the internet. Conclusions We summarize the recent advances in mobile health app research and shed light on their research frontier, trends, and hot topics through bibliometric analysis and network visualization. These findings may provide valuable guidance on future research directions and perspectives in this rapidly developing field.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis

Peng¹,

He²,

Cutrona³

et al. 2020

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…Chronic low-grade in ammation exists widely in patients with diabetes mellitus and is essential for the progression of DN [22]. Notably, in ammation is attributed to glucose metabolism disorder, which leads to glucose self-oxidation and metabolic stress responses [23]. Consequently, blood glucose control is the basic principle in the prevention and treatment of DN.…”

Section: Discussionmentioning

confidence: 99%

Network pharmacology analysis of ZiShenWan for diabetic nephropathy and experimental verification of its anti-inflammatory mechanism

Guo

Chengfei

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Diabetic nephropathy (DN) is the leading cause of end-stage renal disease (ESRD). The inflammatory response plays a critical role in the process of DN. ZiShenWan (ZSW) is a classical Chinese medicinal formula with remarkable clinical therapeutic effects on DN, but its pharmacological action mechanisms remain unclear. Methods: In this study, a network pharmacology approach was applied to investigate the pharmacological mechanism of ZSW in DN therapy. The “drug-ingredient-target” network for ZSW in DN treatment was established with Cytoscape software based on candidate active components of ZSW and targets in DN treatment obtained from databases. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed with the key targets. Because inflammation is important in DN, the key targets and signaling pathways associated with the anti-inflammatory, renoprotective mechanism of ZSW were partially validated in db/db mice. Results: A total of 56 active ingredients in ZSW and 166 DN-related targets were selected from databases. Various related genes and pathways participate in the inflammatory response. ZSW markedly alleviated renal injury in db/db mice by inhibiting the exaggerated release of proinflammatory cytokines such as interleukin (IL)-1β, IL-6, tumor necrosis factor -ɑ (TNF-ɑ), monocyte chemotactic protein-1 (MCP-1) and transforming growth factor-β1 (TGF-β1) and regulating the p38 mitogen-activated protein kinase (MAPK) and phosphoinositide 3-kinase-protein kinase B (PI3K-Akt) signaling pathways. Conclusions: Network pharmacology analysis demonstrated that ZSW achieved therapeutic renoprotective effects in DN by alleviating the inflammatory response via regulation of multiple targets and signaling pathways.

show abstract

“…Literature retrieval was conducted using the Science Core Collection Database (including SCI‐EXPANDED, SSCI, A&HCI, CPCI‐SSH, and ESCI) on 10 January 2020. Academic journals with higher IFs have greater effects in the field than those without (Zou & Sun, 2019). Thus, we retrieved publications from journals with an IF ≥ 1.000 in 2018.…”

Section: The Studymentioning

confidence: 99%

Research trends and hotspots in caregiver studies: A bibliometric and scientometric analysis of nursing journals

Dong

Wei

Wang

et al. 2020

Journal of Advanced Nursing

View full text Add to dashboard Cite

Aims: To explore the intellectual landscape of care-giving studies and identify research trends and hotspots in this field. Design: A bibliometric and scientometric analysis of care-giving literature was undertaken from January-February 2020. Methods: CiteSpace was used to analyse research published between 1900-2019. A references-based co-citation analysis was used to identify the intellectual landscape of care-giving research. A keywords-based co-occurrence analysis with citation bursts was used to explore research hotspots and frontiers. Lastly, a co-authorship network analysis was used to identify cooperation among authors, countries, and institutions. Results: There has been an increasing trend in the number of publications on caregiving research with light fluctuations. Relevant literature mainly focused on the fields of oncology and psychiatry. The keywords-based analysis indicated that the main research targets had previously been informal caregivers of patients with stroke, Alzheimer's disease, and schizophrenia. In recent years, focus has shifted onto informal caregivers of patients with cancer, heart failure, and those at end-of-life. Conclusion: This bibliometric and scientometric analysis helps us understand the current state of caregiver research and its recent developments. Impact: • Caregivers' mental health and care experience have become research hotspots. Where and on whom will the research have an impact?: • This research allows the development of future research on care-giving. • Future researchers should explore effective interventions for the health of patient-caregiver dyads.

show abstract

Global diabetic kidney disease research from 2000 to 2017

Cited by 38 publications

References 41 publications

Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis

Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis

Network pharmacology analysis of ZiShenWan for diabetic nephropathy and experimental verification of its anti-inflammatory mechanism

Research trends and hotspots in caregiver studies: A bibliometric and scientometric analysis of nursing journals

Contact Info

Product

Resources

About