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Stud Health Technol Inform. 2019 Aug 21;264:1017-1020. doi: 10.3233/SHTI190378.

Network Analysis of Citation in Hypertension Clinical Guidelines.

Author information

1
Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
2
Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Korea.
3
Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
4
Department of Biomedical Informatics, Columbia University Medical Center, New York, NY USA.
5
Medical Informatics Services, NewYork-Presbyterian Hospital, New York, NY USA.
6
Department of Rehabilitation Medicine, Gangnam Severance Hospital, Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, Korea.
7
Department of Rehabilitation Medicine and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine & Severance Hospital, Seoul, Korea.
8
Armed Forces Capital Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.

Abstract

Recently the two most influential clinical guideline were published for diagnosing and treating hypertension in US and Europe: 2017 American College of Cardiology/American Heart Association (ACC/AHA) and 2018 European Society of Cardiology/European Society of Hypertension (ESC/ESH) Guideline. Though both of them have most in common, the differences in details between guidelines have confused many clinicians in the world. Because guidelines were evidence- based literature, through the analysis of articles cited in guidelines, these similarities and differences could be explained. Bibliometric analysis is a method of quantifying the contents of literature to analyze literature. So using the bibliometric analysis including co-citation network analysis, articles cited in guideline were analyzed. As a result, we figured out that bibliometrics can analyze the influence of the countries, authors and studies on the guidelines, which might affect on the similarities and the differences between both guidelines.

KEYWORDS:

Bibliometrics; Guideline; Hypertension

PMID:
31438078
DOI:
10.3233/SHTI190378
[Indexed for MEDLINE]

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