Research Themes and Trends in Ten Top-Ranked Nephrology Journals: A Text Mining Analysis.

Abstract:

BACKGROUND:Nephrology research is expanding, and harnessing the much-needed information and data for the practice of evidence-based medicine is becoming more challenging. In this study, we used the natural language processing and text mining approach to mitigate some of these challenges. METHODS:We analyzed 17,412 abstracts from the top-10 nephrology journals over 10 years (2007-2017) by using latent semantic analysis and topic analysis. RESULTS:The analyses revealed 10 distinct topics (T) for nephrology research ranging from basic science studies, using animal modeling (T-1), to dialysis vascular access-related issues -(T-10). The trend analyses indicated that while the majority of topics stayed relatively stable, some of the research topics experienced increasing popularity over time such as studies focusing on mortality and survival (T-4) and Patient-related Outcomes and Perspectives of Clinicians (T-5). However, some research topics such as studies focusing on animal modeling (T-1), predictors of acute kidney injury, and dialysis access (T-10) exhibited a downward trend. CONCLUSION:Stakeholders of nephrology research may use these trends further to develop priorities and enrich the research agenda for the future.

journal_name

Am J Nephrol

authors

Zengul FD,Lee T,Delen D,Almehmi A,Ivankova NV,Mehta T,Topuz K

doi

10.1159/000504871

subject

Has Abstract

pub_date

2020-01-01 00:00:00

pages

147-159

issue

2

eissn

0250-8095

issn

1421-9670

pii

000504871

journal_volume

51

pub_type

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