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Global diabetic kidney disease research from 2000 to 2017: A bibliometric analysis.

作者信息

Zou Lu-Xi, Sun Ling

机构信息

School of Management, Zhejiang University, Hangzhou, Zhejiang.

Department of Nephrology, Xuzhou Central Hospital, Medical College of Southeast University, Xuzhou, Jiangsu, China.

出版信息

Medicine (Baltimore). 2019 Feb;98(6):e14394. doi: 10.1097/MD.0000000000014394.


DOI:10.1097/MD.0000000000014394
PMID:30732183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6380778/
Abstract

BACKGROUND: This study aimed to analyze the scientific outputs of diabetic kidney disease (DKD) research and explore its hotspots and frontiers from 2000 to 2017, using bibliometric methods. METHODS: Articles in DKD research between 2000 and 2017 were retrieved from the Web of Science Core Collection (WoSCC). We used the VOSviewer 1.6.8 and CiteSpace 5.2 to analyze publication years, journals, countries, institutions, authors, references, and keywords. Keywords with citation bursts were used to analyze the research hotspots and emerging trends. RESULTS: We identified 27,577 publications in DKD research from 2000 to 2017. The annual publication number increased with time. Nephrology Dialysis Transplantation published the highest number of articles. The United States was the most influential country with most publications and collaborations with other countries. Harvard University was the leading institute. Parving had the most cited publications. Keywords analysis indicated that the renin-angiotensin system inhibition used to be the most prevalent research topic, while recent research hotspots were podocyte, inflammation, and biomarker. The biomarkers for DKD screening, diagnosis, and prognosis could be a research frontier. CONCLUSIONS: The number of DKD related publications rapidly increased over the past 2 decades. Our study revealed the structure, hotspots, and evolution trends of DKD research. Further studies and more collaborations are needed.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/d107ec6d67b3/medi-98-e14394-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/d72cc9d22fc5/medi-98-e14394-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/bad5685dc5fe/medi-98-e14394-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/868e283c8f3e/medi-98-e14394-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/0448a46a5cb7/medi-98-e14394-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/06382299e282/medi-98-e14394-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/002141191d4a/medi-98-e14394-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/d107ec6d67b3/medi-98-e14394-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/d72cc9d22fc5/medi-98-e14394-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/bad5685dc5fe/medi-98-e14394-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/868e283c8f3e/medi-98-e14394-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/0448a46a5cb7/medi-98-e14394-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/06382299e282/medi-98-e14394-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/002141191d4a/medi-98-e14394-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec6/6380778/d107ec6d67b3/medi-98-e14394-g009.jpg

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本文引用的文献

[1]
Novel therapies for diabetic kidney disease.

Kidney Int Suppl (2011). 2018-1

[2]
Cardiovascular outcomes in diabetic kidney disease: insights from recent clinical trials.

Kidney Int Suppl (2011). 2018-1

[3]
Diagnosis of diabetic kidney disease: state of the art and future perspective.

Kidney Int Suppl (2011). 2018-1

[4]
Use of Readily Accessible Inflammatory Markers to Predict Diabetic Kidney Disease.

Front Endocrinol (Lausanne). 2018-5-22

[5]
Multiple risk factor control, mortality and cardiovascular events in type 2 diabetes and chronic kidney disease: a population-based cohort study.

BMJ Open. 2018-5-8

[6]
New Diabetes Therapies and Diabetic Kidney Disease Progression: the Role of SGLT-2 Inhibitors.

Curr Diab Rep. 2018-3-27

[7]
A bibliometric analysis in gene research of myocardial infarction from 2001 to 2015.

PeerJ. 2018-2-12

[8]
A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy.

PLoS One. 2018-2-6

[9]
High Baseline Levels of Tumor Necrosis Factor Receptor 1 Are Associated With Progression of Kidney Disease in Indigenous Australians With Diabetes: The eGFR Follow-up Study.

Diabetes Care. 2018-1-24

[10]
Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis.

Oncotarget. 2017-9-12

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