Hot topics and trends in cardiovascular research

Abstract

Aims Comprehensive data on research undertaken in cardiovascular medicine can inform the scientific community and can support policy building. We used the publication output from 2004 to 2013 and the 2014 references to these documents, to identify research topics and trends in the field of cardiovascular disease. Methods and results Text fragments were extracted from the titles and abstracts of 478 000 publications using natural language processing. Through machine-learning algorithms, these text fragments combined to identify specific topics across all publications. A second method, which included cross-references, assigned each publication document to a specific cluster. Experts named the topics and document clusters based on various outputs from these semi-automatic methods. We identified and labelled 175 cardiovascular topics and 20 large document clusters, with concordance between the approaches. Overarching, strongly growing topics in clinical and population sciences are evidence-based guidance for treatment, research on outcomes, prognosis, and risk factors. ‘Hot’ topics include novel treatments in valve disease and in coronary artery disease, and imaging. Basic research decreases its share over time but sees substantial growth of research on stem cells and tissue engineering, as well as in translational research. Inflammation, biomarkers, metabolic syndrome, obesity, and lipids are hot topics across population, clinical and basic research, supporting integration across the cardiovascular field. Conclusion Growth in clinical and population research emphasizes improving patient outcomes through novel treatments, risk stratification, and prevention. Translation and innovation redefine basic research in cardiovascular disease. Medical need, funding and publishing policies, and scientific opportunities are potential drivers for these evolutions.

A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed

“…11,12 It was reported that NLP and LDA were used to identify specific themes in a large number of publications by investigating topics and trends in cancer rehabilitation and cardiovascular diseases. 13,14 In the present study, we analysed the themes of publications on RC in the past 25 years (1994-2018) indexed by PubMed under the Medical Subject Headings (MeSH) term 'Rectal Neoplasm'. Inspired by Stout's research on cancer rehabilitation, 14 and guided by NLP and LDA analysis, we modified the machine learning methodology to conduct a more detailed analysis on publications on RC resulting in finding areas where the evidence is robust, highlighting fields where publication deficits exist, and identifying specific areas where opportunities will exist in the future.…”

Publication Landscape Analysis on Gliomas: How Much Has Been Done in the Past 25 Years?

“…In addition, some recently published papers may not have appeared in our study because they had not yet been indexed by MeSH words. These are common limitations to publication studies (10,11). Finally, the LDA themes and their connections in this study have been created by artificial intelligence, which presents machine-driven understanding.…”

“…For instance, researchers have applied NLP to identify specific themes of large publication data sets and thus investigate ongoing research trends. This has been done for research on cardiovascular systems and cancer rehabilitation (10,11). Our study seeks to analyze the themes of glioma-related research that has been published in the past 25 years (1994-2018) and indexed in PubMed.…”

Hydrogel-Based Localized Nonviral Gene Delivery in Regenerative Medicine Approaches—An Overview

“…Most of the cardiovascular diseases are a part of a lifelong process of atherosclerosis, vascular inflammation, and its complications [99]. Common treatments to treat cardiovascular diseases include pharmacotherapy, left ventricular assist devices, heart transplantation, or cell-based cardiac therapy, but often failed to provide ideal regeneration for diseased cardiac tissue [100]. Additionally, stem cell therapy has demonstrated beneficial effects on cardiovascular therapy, although its use is still limited for several inconveniences limiting a successful cell-based therapy in MI [101,102].…”