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Home » Blog » Dissertation » Topics » Health Sciences » 99 Cardiology Dissertation Topics | Research Ideas

dissertation topics in cardiology

99 Cardiology Dissertation Topics | Research Ideas

By Liam Dec 8, 2023 in Cardiology , Health Sciences | No Comments

Embarking on the journey of writing a Cardiology dissertation can be a daunting yet exciting challenge, especially for students at the undergraduate, master’s, or doctoral level. Selecting the right topic is crucial, as it sets the stage for your entire research. In this blog post, we delve into a curated list of Cardiology dissertation topics, […]

Cardiology Dissertation Topics

Embarking on the journey of writing a Cardiology dissertation can be a daunting yet exciting challenge, especially for students at the undergraduate, master’s, or doctoral level. Selecting the right topic is crucial, as it sets the stage for your entire research. In this blog post, we delve into a curated list of Cardiology dissertation topics, each chosen to inspire and guide students across different academic levels. Whether you’re an aspiring cardiologist or a passionate researcher, these topics will serve as a beacon, illuminating your path to a successful and impactful Cardiology dissertation.

In conclusion, the journey of crafting a compelling Cardiology dissertation is paved with a variety of intriguing and relevant topics, suitable for students at various academic stages. We hope that the list of Cardiology dissertation topics provided has sparked your curiosity and equipped you with the inspiration needed to embark on your research voyage. Remember, the topic you choose for your Cardiology dissertation is more than just a research question; it’s a stepping stone towards your future in the fascinating world of cardiac science.

Download Cardiology Dissertation Sample

A list of Cardiology Dissertation Topics:

Analyzing the trends and outcomes of coronary angioplasty in the UK.

Assessing the long-term cardiovascular effects of COVID-19 in recovered patients.

Assessing the outcomes of transcatheter aortic valve replacement in elderly patients.

Investigating the impact of sleep duration on heart disease risk.

Examining the impact of air pollution on cardiovascular diseases in urban areas of the UK.

Exploring the cardiovascular implications of autoimmune thyroid diseases.

Analyzing the use of wearable devices in monitoring heart health.

Assessing the effectiveness of remote monitoring systems in managing cardiac arrhythmias.

Exploring the effects of pollution on endothelial dysfunction and vascular health.

Examining the impact of stress on cardiovascular health and coping mechanisms.

Examining the role of inflammation in atherosclerosis development and progression.

Investigating the role of gut microbiota in cardiovascular diseases.

Investigating the cardiovascular risks of rheumatoid arthritis.

Assessing the prevalence of hypertension in the UK post-Brexit and its cardiac implications.

Analyzing the role of genetics in the development of congenital heart defects.

Reviewing the current strategies in the management of chronic heart failure.

Intersection of cardiology and neurosurgery : managing cardiovascular complications in brain surgery.

Examining the role of genetics in the prevalence of cardiomyopathies in the UK population.

Exploring the relationship between COVID-19-induced stress and heart disease.

Analyzing the use of 3D printing in creating cardiac implants.

Exploring the impact of secondhand smoke exposure on heart health.

Investigating the role of autophagy in cardiac aging.

Examining the impact of childhood obesity on future heart disease risk.

Assessing the effects of dietary supplements on heart disease management.

Investigating the role of epigenetics in cardiac gene expression.

Examining the influence of gut-brain axis on heart health.

Assessing the outcomes of pediatric congenital heart surgery.

Examining the advancements in cardiac regenerative therapies.

Investigating the impact of COVID-19 on the progression of existing heart diseases.

Analyzing the cardiovascular effects of chronic kidney disease.

Analyzing the use of gene therapy in treating inherited cardiac disorders.

Analyzing the effectiveness of COVID-19 vaccines in preventing cardiac complications.

Analyzing the role of microRNAs in regulating cardiac function.

Assessing the role of oxidative stress in cardiac remodeling.

Exploring the link between periodontal disease and coronary artery disease.

Assessing the benefits of comprehensive cardiac rehabilitation programs.

Exploring the association between periodontitis and coronary artery disease.

Analyzing the effects of dietary patterns on heart disease prevention.

Examining the role of cardiac biomarkers in early disease detection.

Investigating the long-term outcomes of pediatric heart transplant recipients.

Evaluating the role of community healthcare in managing heart failure in the UK.

Analyzing the use of artificial intelligence in predicting heart disease risk.

Studying the relationship between sleep disorders and cardiovascular diseases.

Analyzing the use of stem cell therapy in treating myocardial infarction.

Investigating the cardiovascular effects of obstructive sleep apnea.

Analyzing the use of cardiac imaging in early disease detection.

Cardiology and urology synergy: exploring cardiovascular health implications in urological conditions.

Investigating the influence of socioeconomic factors on access to cardiac care.

Analyzing the use of CRISPR gene editing in treating cardiac conditions.

Analyzing the use of regenerative medicine in cardiac tissue repair.

Investigating the cardiovascular effects of high-intensity interval training.

Investigating the role of genetics in response to antiplatelet therapy.

Exploring the influence of microplastics exposure on heart health.

Assessing the outcomes of minimally invasive cardiac surgery techniques.

Exploring new diagnostic tools for early detection of cardiac involvement in COVID-19 patients.

Assessing the cardiovascular risks of gestational diabetes in pregnancy.

Investigating the cardiovascular implications of novel cancer therapies.

Investigating the effects of gender and ethnicity on cardiac outcomes.

Studying the effect of diet and lifestyle changes on heart disease rates in the UK.

Investigating the impact of caregiver support on heart transplant recipients.

Investigating the effects of pollution on cardiac electrophysiology.

Investigating the impact of the UK’s public health policies on reducing heart disease mortality rates.

Evaluating the impact of dietary interventions on cardiovascular risk factors.

Investigating the effects of social support on cardiac rehabilitation adherence.

Assessing the cardiovascular risks of non-alcoholic fatty liver disease.

Studying the effect of COVID-19 on the rehabilitation of post-myocardial infarction patients.

Exploring the relationship between sleep disorders and cardiovascular diseases.

Investigating the impact of COVID-19 on the mental health of cardiac patients.

Assessing the cardiovascular risks associated with vaping and e-cigarettes.

Exploring the role of mitochondrial dysfunction in cardiac aging.

Analyzing the impact of air pollution on cardiovascular health in urban areas.

Examining the role of dietary supplements in heart disease prevention.

Assessing the impact of cardiac rehabilitation on quality of life.

Examining the role of digital health technologies in cardiac patient monitoring.

Examining the role of inflammatory markers in predicting cardiovascular complications in COVID-19 patients.

Investigating the effects of physical activity on heart health in older adults.

Assessing the role of cardiac biomarkers in the early detection of heart diseases.

Investigating the effectiveness of novel anticoagulants in the management of atrial fibrillation.

Investigating the impact of lifestyle modifications on reducing cardiovascular risk factors in high-risk populations.

Examining the influence of mental health disorders on heart disease prognosis.

Studying the trends in cardiac surgery outcomes in the UK over the last decade.

Analyzing the use of nanomedicine in treating atherosclerosis.

Strategic management in cardiology: optimizing healthcare delivery and patient outcomes.

Assessing the impact of polypharmacy on cardiovascular medication adherence.

Assessing the cardiovascular risks of polycystic ovary syndrome.

Investigating the outcomes of transcatheter mitral valve repair.

Examining the impact of socioeconomic disparities on heart transplant outcomes.

Analyzing the prevalence and management of hypertension in adolescents.

Reviewing the advancements in non-invasive cardiac imaging techniques.

Exploring the cardiovascular consequences of autoimmune diseases.

Exploring the association between dental health and cardiovascular diseases.

Assessing the effectiveness of remote cardiac rehabilitation programs.

Analyzing the effects of statin therapy on heart disease prevention.

Assessing the effectiveness of telemedicine in managing heart failure patients’ care.

Investigating the disparities in cardiac care access in different regions of the UK.

Analyzing the efficacy of telemedicine in managing cardiac patients during the COVID-19 pandemic.

Assessing the role of gut metabolites in cardiovascular health.

Analyzing the effectiveness of the UK’s NHS cardiac rehabilitation programs.

Investigating the association between air quality and acute myocardial infarction.

Analyzing the long-term outcomes of patients with congenital heart defects.

There you go. Use the list of Aviation dissertation topics well and let us know if you have any comments or suggestions for topics-related blog posts for the future or want help with dissertation writing; send us an email at [email protected] .

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Home » Blog » Dissertation » Topics » Clinics » 80 Clinical Cardiology Research Topics

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80 Clinical Cardiology Research Topics

FacebookXEmailWhatsAppRedditPinterestLinkedInAre you a dedicated student immersed in the world of academic research, seeking promising research topics in Clinical Cardiology for your upcoming thesis or dissertation? Navigating the vast landscape of clinical cardiology research can be both an exhilarating and challenging endeavor, as this field continuously evolves with new advancements and discoveries. Choosing the right research […]

Clinical Cardiology Research Topics

Are you a dedicated student immersed in the world of academic research, seeking promising research topics in Clinical Cardiology for your upcoming thesis or dissertation? Navigating the vast landscape of clinical cardiology research can be both an exhilarating and challenging endeavor, as this field continuously evolves with new advancements and discoveries. Choosing the right research topics is a pivotal decision, influencing the trajectory of your academic journey and potentially shaping the future of cardiology. In this guide, we’ll explore a diverse array of research topics tailored to undergraduate, master’s, and doctoral levels, helping you embark on a compelling and impactful research voyage in the realm of Clinical Cardiology.

Clinical Cardiology, often referred to as cardiology in the clinical setting, is the specialized branch of medicine that focuses on the diagnosis, treatment, and prevention of heart-related conditions and disorders.

A List Of Potential Research Topics In Clinical Cardiology:

  • Analyzing the long-term effects of beta-blocker therapy on cardiac function and mortality rates in post-myocardial infarction patients.
  • A critical analysis of pharmacological interventions in heart failure management.
  • Analyzing the association between periodontal disease and cardiovascular health, exploring potential preventive measures.
  • Analyzing the association between cardiac arrhythmias and adverse drug reactions, exploring potential drug-safety strategies.
  • Enter your list of items for random picking here.E A comprehensive review of gender disparities in cardiovascular care and outcomes.
  • Assessing the potential benefits of stem cell therapy in cardiac regeneration for patients with ischemic heart disease.
  • Investigating the cardiovascular effects of emerging therapeutic approaches for heart failure with preserved ejection fraction.
  • Assessing the implementation of novel therapies for cardiac diseases within the NHS.
  • Analyzing the relationship between cardiac autonomic function and risk of adverse cardiovascular events.
  • Analyzing the long-term cardiovascular outcomes of patients treated with drug-eluting stents compared to bare-metal stents.
  • Examining the relationship between mental health disorders, such as depression and anxiety, and cardiovascular disease risk and outcomes.
  • Examining the effectiveness of remote cardiac rehabilitation programs for post-COVID-19 patients.
  • Investigating the relationship between periodontal health and endothelial function in patients with cardiovascular disease.
  • Evaluating the cost-effectiveness of cardiac interventions in the UK healthcare system.
  • Analyzing the association between obstructive sleep apnea and arrhythmias, exploring potential treatment modalities.
  • Assessing the cardiovascular effects of novel antiviral agents and their potential role in managing viral-associated heart disease.
  • Exploring global perspectives on advancements in clinical cardiology: an international comparative study .
  • Evaluating the effectiveness of a multidisciplinary approach in managing heart failure patients and improving clinical outcomes.
  • Assessing the impact of pharmacogenomics on personalized antiplatelet therapy in acute coronary syndrome patients.
  • A meta-analysis of clinical trials assessing the efficacy of anticoagulants in atrial fibrillation.
  • Investigating the impact of COVID-19 vaccination on cardiac health in diverse populations.
  • Evaluating the effectiveness of integrated care models in managing patients with heart failure and multiple comorbidities.
  • A systematic review of the influence of diet on heart health and disease prevention.
  • A systematic review of the role of genetics in cardiovascular disease risk assessment.
  • Assessing the cardiovascular effects of emerging targeted therapies for specific genetic cardiac conditions.
  • Assessing the impact of comorbidities, such as chronic kidney disease, on cardiovascular outcomes and treatment strategies.
  • Investigating the role of sex differences in cardiovascular disease presentation, diagnosis, and treatment.
  • Investigating the impact of personalized exercise prescriptions on cardiac rehabilitation outcomes in individuals with heart failure.
  • Studying the influence of social determinants on cardiovascular outcomes in the post-COVID-19 era.
  • Investigating the influence of socioeconomic factors on cardiac health outcomes in the UK.
  • Investigating the role of gut microbiota in the development and progression of cardiovascular diseases, exploring potential therapeutic interventions.
  • Assessing the impact of socioeconomic factors on access to cardiac care and outcomes in underserved communities.
  • Evaluating the cardiovascular effects of emerging gene editing technologies in the context of inherited cardiac disorders.
  • Investigating the impact of urban green spaces on cardiovascular health and potential implications for urban planning.
  • Examining the impact of air pollution on cardiovascular health in major UK cities.
  • Assessing the impact of early-life exposure to environmental toxins on cardiovascular health in adulthood.
  • Analyzing the association between chronic inflammatory conditions and the development of atherosclerosis, exploring potential therapeutic targets.
  • Analyzing the cardiovascular effects of emerging cancer therapies and their implications for cancer survivors.
  • Evaluating the impact of dietary supplements and nutraceuticals on cardiovascular health and disease prevention.
  • Evaluating the long-term cardiovascular consequences of COVID-19 infection in recovered patients.
  • Assessing the efficacy of novel anticoagulants in preventing stroke and systemic embolism in atrial fibrillation patients.
  • Evaluating the impact of COVID-19-related stress on heart health and outcomes.
  • Evaluating the role of non-invasive imaging techniques in early detection and risk stratification of coronary artery disease.
  • Evaluating the cardiovascular effects of emerging antidiabetic agents and their potential benefits in diabetic patients with heart disease.
  • Studying the effectiveness of public health campaigns in promoting heart-healthy lifestyles in the UK.
  • An overview of the latest trends in remote monitoring of cardiac patients.
  • Evaluating the role of cardiac rehabilitation in optimizing outcomes for heart transplant recipients.
  • Investigating the effects of novel lipid-lowering agents on cardiovascular outcomes in high-risk patients.
  • Investigating the role of microRNA in the regulation of cardiac remodeling and potential therapeutic applications.
  • Exploring the association between COVID-19 and myocarditis: A clinical perspective.
  • A comprehensive review of recent advancements in cardiac imaging techniques.
  • Assessing regional disparities in access to cardiac care services in the UK.
  • Assessing the impact of early intervention strategies in congenital heart disease on long-term outcomes and quality of life.
  • Assessing the role of telemedicine in managing cardiac patients during and after the COVID-19 pandemic.
  • Analyzing the cardiovascular effects of post-acute sequelae of SARS-CoV-2 infection (PASC).
  • Investigating the genetic and environmental factors influencing susceptibility to coronary artery disease in different populations.
  • Analyzing the utilization of telehealth services for cardiac patients in rural areas of the UK.
  • Assessing the effectiveness of lifestyle modifications in managing hypertension and reducing cardiovascular risk.
  • Evaluating the effectiveness of telemedicine in managing hypertension and improving blood pressure control in at-risk populations.
  • Investigating the cardiovascular effects of novel dietary patterns and their potential for preventing heart disease.
  • A review of the impact of lifestyle modifications on preventing cardiovascular diseases.
  • Evaluating the efficacy and safety of novel antithrombotic agents in preventing thromboembolic events in atrial fibrillation patients.
  • Integrating nutritional strategies in clinical cardiology: optimizing patient outcomes and health through clinical nutrition approaches.
  • Examining the impact of sleep apnea on cardiovascular outcomes and its implications for treatment strategies.
  • Assessing the impact of obesity-related cardiometabolic risk factors on cardiovascular outcomes and therapeutic strategies.
  • Analyzing the cardiovascular effects of electronic cigarette use and potential harm reduction strategies.
  • An overview of emerging biomarkers for early detection of cardiac conditions.
  • Investigating the cardiovascular effects of emerging immunotherapies for autoimmune diseases and cancer.
  • A review of the challenges and opportunities in cardiac rehabilitation programs worldwide.
  • Analyzing the association between exposure to air pollution and cardiovascular health, exploring potential policy and public health interventions.
  • Evaluating the cardiovascular effects of emerging regenerative therapies for heart disease, such as cell-based approaches.
  • Investigating the cardiovascular effects of emerging gene therapy approaches for inherited cardiac disorders.
  • Analyzing the relationship between exposure to environmental toxins and cardiovascular health outcomes, exploring potential public health interventions.
  • Investigating the cardiac complications and sequelae in children following COVID-19 infection.
  • Assessing the cardiovascular risks associated with long-term use of nonsteroidal anti-inflammatory drugs (NSAIDs) for pain management.
  • Evaluating the efficacy of remote monitoring and telehealth interventions in managing arrhythmias and improving patient outcomes.
  • Investigating the relationship between oral health and cardiovascular disease risk, exploring potential preventive strategies.
  • Analyzing the impact of Brexit on clinical cardiology research and collaboration in the UK.
  • Analyzing the association between inflammatory bowel disease and cardiovascular disease, exploring potential preventive measures.

In conclusion, embarking on a research journey in Clinical Cardiology offers a realm of intriguing opportunities across various academic levels. Whether you’re an undergraduate, master’s, or doctoral candidate, the wealth of research topics available in Clinical Cardiology allows you to delve into critical aspects of cardiac health, paving the way for advancements in this vital field. Choose a research topic that resonates with your passion and academic goals, and contribute to the ever-evolving landscape of Clinical Cardiology through your dedicated research efforts.

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Circulating level of endothelin-1 in patients with chronic systolic heart failure correlates with the degree of diastolic dysfunction and type 2 diabetes co-morbidity

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T. Kochegura, A. Ovchinnikov, P. Makarevich, L. Gigunova, Y. Lakhova, Y.E. Parfyonova, F. Ageev, Circulating level of endothelin-1 in patients with chronic systolic heart failure correlates with the degree of diastolic dysfunction and type 2 diabetes co-morbidity, European Heart Journal , Volume 34, Issue suppl_1, 1 August 2013, P2470, https://doi.org/10.1093/eurheartj/eht308.P2470

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Purpose: Endothelin-1 (ET-1) is a potent endothelial cell-derived peptide with multifunctional properties including venous and arterial vasoconstrictor properties, the ability to modulate inotropy and to induce myocardium hypertrophy. We evaluated circulating levels of ET-1 in patients with systolic chronic heart failure (HF) and comorbid diabetes mellitus type 2 (DM2) in relation to the levels of B-type natriuretic peptide (NT-proBNP) and echocardiographic parameters of diastolic function.

Methods: ET-1 plasma level was assessed by an enzyme-linked immunoassay in patients with systolic HF (n=30), systolic HF+DM2 patients (n=25) and healthy volunteers (n=20). NT-proBNP was measured in serum samples with a fully automated sandwich immunoassay.

Results: There was no difference in NYHA functional class and left ventricular ejection fraction (LV EF) between HF groups, but patients with HF+DM2 had more severe LV diastolic dysfunction. The ET-1 plasma levels of HF+DM2 patients was higher than in patients with HF without DM2 (794 [567; 1142] vs 487 [423; 629], p=0.0005) and healthy subjects (432 [358; 543], p=0.0001). The correlations between ET-1 plasma levels and NT-proBNP (r=0.38, p=0.0002), LV end-diastolic volume (r=0.32, p=0.008), mitral E/A ratio (r=0.47, p<0.0001), isovolumetric relaxation time (r= -0.30; p=0.015), LV EF (r= -0.27, p=0.025) were found in a combined group of patients. ET-1 plasma levels was higher in HF patients with moderate/severe LV diastolic dysfunction (stages II-III) compared to patients with mild LV diastolic dysfunction (stage I) (814 [618; 1203] vs 543 [462; 704] p<0.0001).

Conclusions: These findings indicate that plasma endothelin-1 level in patients with systolic HF can be considered as a potential biomarker of LV diastolic dysfunction worsening by diabetic related co-morbidity.

  • heart failure, systolic
  • left ventricular ejection fraction
  • chronic heart failure
  • heart failure, diastolic
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Hot topics and trends in cardiovascular research

1 Department of Cardiovascular Sciences, KU Leuven, Campus Gasthuisberg O/N1 704, Herestraat 49, Leuven, Belgium

2 ECOOM, Department of Managerial Economics, Strategy and Innovation, KU Leuven, Naamsestraat 61, Leuven, Belgium

Wolfgang Glänzel

3 Department Science Policy & Scientometrics, Library of the Hungarian Academy of Sciences, Arany János u. 1, Budapest, Hungary

Karin R Sipido

Associated data.

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.

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.

Introduction

Current policies for public funding of health research increasingly focus on innovation, with a final goal to improve health outcomes. 1 To support policies, roadmaps are established, for example for diabetes 2 and respiratory 3 diseases. In the USA, the joint Academies developed a document to guide national policy in health 4 with a dedicated document for cardiovascular medicine 5 that includes general directions for research. In Europe, building a roadmap for cardiovascular research is one of the tasks of the ERA-CVD network. 6 Expert opinion guides the exercise but a macro and global-level overview of past cardiovascular research can enrich the debate and strengthen the basis for recommendations. The breadth of cardiovascular research is astounding, 7 with research undertaken across a variety of institutions and with each piece of research having its own scope/focus or topic. It is thus challenging to review and summarize all the research that has been undertaken.

Identifying all the relevant research is the first hurdle to overcome, then classifying or identifying topics of research is the next significant hurdle. Journal classification systems offer little assistance, as they are not granular enough to identify more specific topics within broader fields. Thesauri or medical dictionaries, such as PubMed or the International Classification of Diseases (ICD), do not offer an overview of time-dependent changes in topics or changing concepts.

Identifying key topics using semi-automatic approaches based on text analysis is an alternative solution that takes advantage of recent developments in high-level informatics. As this is not reliant on a predefined classification, it may result in different outcomes. Various methods use natural language processing (NLP) to extract topics or clusters from text. For example, the bibliometric community has compared the results when varying methods are applied to a set of astronomy publications, focusing on the importance having topic expert input throughout the process. 8 The recent CardioScape project analysed abstracts of 2476 research projects awarded 2010–12 as published by funding bodies. The authors assigned research project to topics, based on the abstract text, using a semi-automatic process that tested and trained the data to more quickly allocate abstracts to a topic than depending solely on expert review. They produced a detailed taxonomy or classification of cardiovascular research based on the list of topics of the European Society of Cardiology, creating a hierarchical list of over 600 topics. 9

Here, we aim to identify topics in published cardiovascular research and their evolution between 2004 and 2013, assessing whether they have appeared, disappeared, or changed over time. In a comprehensive approach, we use a combination of existing methods for text mining, network analysis, and clustering, and further develop these tools to handle a large dataset of >400 000 publications.

In our study, we use two different and complementary approaches. A first one detects topics across the collection of publications, counting number of documents, and relations between topics. A second one maps document networks into clusters with an identifiable subject of research. These approaches are described here in brief, with more detail provided in the Supplementary material online .

Data sources

The dataset includes the reference, abstract, address, and citation data for 478 006 cardiovascular publications from 2004 to 2013, including 2014 references to these documents, using an expert informed search strategy and references to core cardiovascular journals, as previously published. 7 The documents span across >5000 journals, and include cardiovascular publications in leading general journals in medical and life sciences ( Supplementary material online , Table S1 ). We obtained the data from Clarivate Analytics Web of Science Core Collection (WoS) through a custom data license held by ECOOM, KU Leuven.

Text pre-processing

We took all titles and abstracts of the above publications, and extracted the noun phrases (text fragments of various lengths) using the NLP framework developed at Stanford. 10 Supplementary material online , Figure S1 illustrates the subsequent data flow for the analysis.

Topic modelling

For this approach, we applied latent Dirichlet allocation (LDA) 11 to the above-mentioned text fragments from the titles and abstracts of all publications. This LDA approach groups the text fragments to identify topics and allocates documents to topics. In this approach, a document contributes to several topics. Of note, general terms or terms that are used frequently across the majority of documents are filtered out as part of the methodology, resulting in groups of highly specific text fragments and, consequently, topics, as illustrated in Supplementary material online , Figure S2 .

At least three cardiovascular experts (listed in the Acknowledgements section) named each topic based on a set of the top 40 text fragments representing a topic. Further rounds of cross-review validated and consolidated the naming process. A final review of all topics ensured naming consistency across the topics and allowed for additional expert-based classification as clinical, basic, or population research.

We then calculated the number of documents that contributed to a topic, using probability analysis in LDA. Furthermore, we calculated the co-occurrence of topics in the publications, and visualized the outcome of this network analysis using VOSViewer ( www.vosviewer.com ). 12

Document clustering

For this second approach, the dataset was reduced to two periods, and we analysed the cardiovascular publications from 2006 to 2008 and those from 2011 to 2013, separately. For each time period, we then calculated the similarities between documents based on the noun phrase text fragments from the titles and abstracts of all publications and based on the references in these publications, using adapted cosine calculations and a hybrid document clustering algorithm, as previously described. 13 We then applied the Louvain 14 community detection algorithm to identify clusters of similar documents. For this method, each document is only located in one cluster. Subsequently, we applied the DrL/OpenOrd algorithm 15 to map and visualize the documents and clusters. We used R 16 in a high-powered cloud-based parallelized computing environment for all operations.

We identified and described the core documents, 13 the most common text fragments, as well as, the most highly cited documents and the most productive authors in each cluster, to name the clusters. For each document cluster, we identified the most highly representative topics from the LDA topic model.

Evolution of cardiovascular topics—trends and ‘hot’ topics

We identified 175 topics, listed alphabetically in Supplementary material online , Table S2 . This list groups specific topics within areas such as atherosclerosis, coronary artery disease, arrhythmias, heart failure, and their evolution over time.

For a visual and comprehensive overview, we prepared a map of the topics and their interrelation, based on co-occurrence within publications using a network analysis ( Figure ​ Figure1 1 A ). This map identifies different categories of research: population (at the top, blue), clinical (left, green/yellow), and basic research (right, red). Large topics in each category define overarching interests such as Evidence-guided-treatment and Outcomes and prognosis in clinical research, and Epidemiology of CVD and risk factors in population research, topics that have seen large growth in numbers of publications since 2004 ( Figure ​ Figure1 1 B ). Cell signalling and gene transcription is a central topic for basic research, with modest growth ( Figure ​ Figure1 1 B ).

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Main areas and organization of research focus. ( A ) Visual presentation of the topics in 2013 and how they relate to each other, based on how often the topics are included in the same publication. Each circle represents one topic and each group of topics is highlighted in a separate colour; the most similar documents and clusters are located closer to each other based on VOSviewer mapping. ( B ) Evolution of overarching topics.

More focused ‘hot’ topics that experienced a large growth in number of publications are presented in Figure  2 .

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Topics with large growth. For population research, the eight topics that increased more than two-fold in volume are shown; for clinical research, 27 topics increased more than two-fold and 10 of these are presented; for basic research only two topics had more than a two-fold increase, and the top 8 growers are presented. Overarching topics are shown in Figure ​ Figure1 1 B .

In population research, risk factors with research on metabolic syndrome, lipids, diabetes, physical activity, and mental health are prominent. In clinical research, patient management after myocardial infarction (MI) and outside the hospital are leading topics, but the true ‘hot’ topic was aortic valve disease that saw a surge of interest, related to transaortic valve repair, starting 2008. Though still small in numbers, heart failure research and stem cells saw substantial growth. This last clinical topic complements the major hot topics in basic research, on stem cells and cardiac repair and tissue engineering. In basic research, increasing translational output in metabolic syndrome and diabetes use mostly mouse models. Focused topics are organelle studies on mitochondria and endoplasmic reticulum.

Table  1 complements the fast growing topics of Figure  2 with additional leading 2013 topics. Most of these also have grown since 2004, but two topics, even if large, seem to have lost momentum, i.e. longitudinal studies on blood pressure, and basic research in cardiac electrophysiology.

Large topics in 2013

PCOS, polycystic ovary syndrome.

Only four topics in clinical, and none in population research, saw a decrease, whereas seven topics in basic research saw a decline in output ( Figure ​ Figure3 3 A ). Across all topics, the growth in publication output, measured as the number of documents in 2013 divided by the number of documents in 2004, was significantly larger in clinical and population research topics than in basic research topics ( Figure ​ Figure3 3 B ).

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Unequal growth of research output across categories. ( A ) Topics that saw a decrease of >5%, i.e. 4/102 clinical and 7/50 basic research topics. ( B ) Average growth in each category. Each dot presents a topic; the values are the fractional growth, i.e. the number of documents in 2013 divided by the number of documents in 2004. Kruskal–Wallis followed by Dunn’s test for multiple comparisons; *** P < 0.0001 basic vs. clinical and vs. population.

When considering the overall output and growth of publications across the categories of population, clinical and basic research, the data suggest that the share of basic research publications is declining.

Document clusters define large research areas and trends

The size of topics represents the activity within each of these—documents contribute to more than one topic. In a complementary approach, we examined how documents group together based on the similarity of their text and of their references, whereby each document can belong to one cluster only, effectively dividing the total publication output into different areas. The hybrid clustering algorithm was applied to two datasets, i.e. the publications from 2006 to 2008 and 2011 to 2013.

In each period, 10 large clusters emerged, accounting for >90% of all documents.

To identify trends, we compare the two periods and examine the evolution over time ( Figure  4 ). In the graph legends, emerging areas are marked by green triangle, decreasing ones with a red triangle. Risk scoring in the population and related patient management are the leading areas, growing over time (top position). In 2011–13, a large cluster emerges that relates to gene and stem-cell therapy, including research on inducible pluripotent stem cells. Documents within this cluster include research on ischaemic heart disease and arrhythmias. Haemodynamics and biomechanics are another emerging area that includes documents on atherosclerosis and vascular diseases such as aneurysms, but also heart failure and assist devices. Aortic valve disease is a newly defined area in 2011–13. Imaging also becomes very prominent as an area in its own right. Whereas in 2006–08, hypertension was a defined area, this is no longer identifiable in 2011–13.

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Distribution of document clusters in 2006–08 and in 2011–13. ( A ) In 2006–08, the 10 largest clusters represent 93% of the total publication output in this period. ( B ) In 2011–13, the 10 largest clusters represent 92% of the total publication output in this period. The colour codes for similar clusters are maintained across the periods. However, some clusters are present in only one period. The clusters are arranged by size, reading clockwise from the top, and the legends arranged accordingly. Red triangles mark clusters that disappeared and green triangles emerging clusters.

For the last period, we also examined the structure and interrelation of clusters, using a graphical rendering, giving insight in the size, composition, and presence of subclusters ( Figure  5 ).

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Document clusters’ map 2011–13. A visual presentation of documents in clusters and subclusters: the most similar documents and clusters are located closer to each other, based on the DrL two-dimensional mapping layout technique.

In this force-directed DrL graph layout, the documents and clusters are mapped to minimize the distance between the most similar documents and maximize the distance between non-linked documents. This produces a two-dimensional co-ordinate layout where the documents closest to each other share the most similarities since they share common text fragments and references. Conversely, documents and clusters on the edges of the graph have the least similarity to other documents or clusters.

Cluster 2 on gene and stem cells is dense and separate, yet touches and interacts with Cluster 5 [acute coronary syndrome (ACS) and MI]. Cluster 9 on imaging is spread out in subclusters at different locations, including one near Cluster 5 (ACS and MI), and one near Cluster 4 (heart failure). Cluster 8 (arrhythmias) is also split with one part closer to heart failure, another to anticoagulation and atrial fibrillation.

Further naming the subclusters is presently beyond reach, as it would require a lot of expert input and resources. However, linking the clusters and the topics adds granularity to the larger research areas and provides internal methodological validation of the cluster naming.

Table  2 presents the most highly associated topics in the ten largest document clusters in each period. Overall, agreement with the LDA topics is high and provides more detail on the research contained in the clusters. E.g., the cluster ‘Haemodynamics’ is now showing different areas of focus, i.e. in congenital disease, aortic, and valvular diseases; the topic ‘Arrhythmias’ is more populated with device research in the second time period compared to the first.

Cluster names and topics present within clusters

AF, atrial fibrillation; ANS, autonomic nervous system; BP, blood pressure; CABG, coronary artery bypass grafting; CRT, cardiac resynchronization therapy; CT, computed tomography; CV, cardiovascular; DES, drug-eluting stent; ECG, electrocardiogram; HF, heart failure; LV, left ventricular; NOAC, new oral anticoagulant; PTCI, percutaneous transluminal coronary intervention; RV, right ventricle; STEMI, ST elevated myocardial infarction.

The method for identification of topics in cardiovascular publication output allowed the visualization and evaluation of trends in cardiovascular research. Over a 10-year period significant shifts occur.

Identification of cardiovascular research topics through natural language processing

In cardiovascular research, topics are generally predefined in a taxonomy that can be hierarchical and/or matrix structured. The CardioScape project approach (see Introduction section) was well suited to its purpose of the analysis of 2476 project abstracts in a single time period and using an existing taxonomy has the advantage of recognizable areas of research. The bottom-up approach used here lent itself well to analysis of much larger numbers of documents and generated a topic list that represents the interests from the community during the period under study.

A recent study by the WHO working to identify cardiovascular disease research output from random sets of publications from PubMed required a significant amount of expert-based review of only a small proportion of the published articles. 17 The current approach was more comprehensive in coverage of the field, but despite reliance on advanced automated analysis, experts still had an important role in interpreting and linking concepts to validate the results.

In the current naming of topics and clusters, experts frequently used terms that connect to a classic hierarchical list in the field, including major diseases, and recognizing clinical, population, and basic discovery research. Nevertheless, the approach uncovered specific emerging areas of research such as transcatheter aortic valve implantation (TAVI), topics consistent with broad trends, such as risk stratification and evidence-based guidance, and innovation (gene and stem cell research). Some of these terms would not appear in a classic taxonomy and thus the NLP approach offers novel insights.

The present study was not attempting to classify all research but to capture and identify the most common and evolving topics over time in the cardiovascular field by using a comprehensive set of cardiovascular publications across some 5000 journals.

Emphasis on improving clinical care and risk assessment

The most represented and fast growing topics across the documents are evidence-based guidance for treatment and research on outcomes and prognosis. These result underscore the attention given to guidelines and evidence based medicine (EBM). 18–23 Part of this research is likely to represent the large number of clinical trials taking place in the cardiovascular field, 24 which over time have had a significant effect on the reduction of mortality from CVD due to establishing the effectiveness and safety of a number of drugs and medical interventions in cardiovascular disease. 25 The presence of policy related topics, such as the topics on quality of care and health economics likewise supports the focus on implementation research and a shift of focus from reducing acute mortality to care in chronic disease.

Growth of research on risk factors emphasizes the importance of preventative medicine, evident in both the topics analysis and the document cluster analysis. However, some specific blood pressure studies declined over time, perhaps reflecting the change in focus on the single risk factor of ‘blood pressure’ to a multivariable spectrum and newly identified risk factors. We have also previously shown that hypertension has moved more closely to clinical cardiovascular research over time. 26

Smaller topics illustrate crosstalk with non-cardiovascular diseases, because of shared risk factors or common methods used in research or occurrence of cardiovascular complications. The latter is particularly evident in two topics that focus on cardiovascular complications in pregnancy and in cancer.

Innovation and translation in clinical and basic science

Major diseases such as ischaemic heart disease and arrhythmias, remain present over time but shifts can be seen. There is for example, a larger focus on atrial fibrillation, in particular embolic risk, on novel treatments, such as stem cells in heart failure, and transcatheter aortic valve interventions as a dominant element within the topic of valvular heart disease. 19 Imaging is present in several topics but emerges as a cluster in its own right in the document analysis. Many of these changes are driven by technological innovation and translation.

Basic research as a whole saw its share decline, but with interesting shifts in content. Although the topic analysis and mapping identifies basic research topics as a category, there are complementarities across categories. Stem cell research, tissue engineering, and biomechanical factors saw rapid growth and are also present in clinical topics. This also applies to inflammation and diabetes. Animal models for disease are rapidly growing topics consistent with growth of translational research.

An analysis of the countries of authorship of the publications in the emerging clusters of discovery research shows that the USA leads in the number and share of publications (30%+), followed mostly by Germany, or the UK or Italy. However, for the large document cluster on genes and stem cells in 2011–13, the second most productive country is China, contributing 17.5% of the publications in this cluster (Supplementary material online, Figure S3 ).

Interestingly, inflammation, biomarkers, metabolic syndrome, obesity, and lipids are hot topics with growing research output in population, clinical and basic research, indicating integration and crosstalk across the spectrum of cardiovascular research.

Drivers of change

Technology and opportunity-driven scientific interest, but also strategic choices and funding policies are likely to influence trends in research. CardioScape studied public and charity funding in the years 2010–12 and describes major investments in clinical research. Yet the share of publication output globally for clinical research appears to be substantially larger than the share of funding for clinical research reported in CardioScape. This could be explained by clinical research funded by other sources, such as industry or local funding, which are not included in the CardioScape analysis. Also, the present data represent global output. Major research investments in China, and the emphasis on clinical research in the USA, can contribute to some of the global trends.

The slower growth in basic science could reflect a slower growth in investment. This can be absolute or relative towards the increasing costs of advanced research methodology. Another reason could be editorial pressure for more comprehensive papers that may reduce quantity to the benefit of rich content in individual papers.

Finally, growing translational research may blur the boundaries between basic and clinical research and lead to an apparent slower growth in discovery research.

Policy perspectives

Policy development is a forward looking exercise. In health research, medical needs identified by health data and expert opinion, are an important consideration. 27 Past research output helps to identify areas that may need more investment. Research funders also use input from society. 28 When assessing current priorities in cardiovascular research for the Dutch 28 and British 29 Heart Foundations we can see that research into heart failure and arrhythmias are common across their top priorities. Focus on healthy lifestyles is a top priority in the Dutch Heart Foundation as well as in the US vision and strategic agenda. 4 , 5 At the macro-level, the data presented here indicate that some of the main issues presented in these research agendas are actively pursued but others less so.

Study limitations

Limitations of studying research topics have been addressed in the bibliometric field. 8 The reliance of expert input is a limitation and potential source of bias that we tried to minimize by using mixed panels.

The current approach was not sufficiently granular to extract recent emerging topics that contain a limited number of documents. In addition, publication output is somewhat delayed vs. actual research and experts may be aware of ongoing research with still limited output. In this case, the method and dataset can be used to interrogate about specific developments (see Supplementary material online , Table S3 for data on micro-RNA and personalized medicine).

As the data set ends in 2013, very recent developments are not covered. This relates to the methodological complexity. Web of Science data including 2014 references were available mid-2015, the cardiovascular publications dataset was complete in 2016 and algorithms for analysis including re-iterative expert review required another 18 months. A similar time lag is seen in other studies that rely on data mining and processing. 9 Congress abstracts could be considered as a source to identify emerging topics but have several limitations. They are of a different nature than papers and the scope of a congress shapes content of selected abstracts. We provide a complementary survey of 3000 abstracts from the 2018 congress of the European Society of Cardiology, illustrating the strong presence of clinical research at this event, within the topics of Clusters 1 and 3–7 of Table  2 ( Supplementary material online , Figure S4 ). Two emerging topics were cardio-oncology and digital health, each representing however <25 abstracts.

In the present analysis, quality and impact of studies in a particular domain were not evaluated, though highly cited papers were part of the cluster identification. In their analysis of poorly cited papers covering 165 000 papers in 1997–2008, Ranasinghe et al . 30 noted the highest percentage of poorly cited papers in the clinical and population research category. Nevertheless, as they and others 31 have noted, citations are not the only parameter to assess impact, in particular in clinical medicine.

Conclusions

Identification of leading research topics and trends illustrates the emphasis on improving clinical medicine, and the growing interest in risk stratification and preventive medicine. Translation and innovation redefine cardiovascular research. Linking the present data with the insights of the professional community and of funders and society, may contribute to the building of a future research roadmap.

Supplementary Material

Ehz282_supplementary_data, acknowledgements.

The authors thank to the following experts for their review of the text fragments and input into the names of the topics: Dr Matthew Amoni, Dr Peter Haemers, Prof Sian Harding, Dr Frederik Helsen, Prof Gerd Heusch, Prof Tatiana Kuznetsova, Prof Tobias Op‘t Hof, Prof Frank Rademakers, Dr Sander Trenson, Dr Bert Vandenberk, and Dr Maarten Vanhaverbeke.

D.G. had a PhD Fellowship through KU Leuven.

Conflict of interest: K.R.S. is Past Editor-in-Chief of Cardiovascular Research (2013–17). W.G. is Editor-in-Chief of Scientometrics .

Electrocardiographic Manifestations of Chronic Physical Overexertion in Athletes

  • Published: November 2005
  • Volume 31 , pages 672–676, ( 2005 )

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Electrocardiographic studies were performed in 85 endurance-training athletes with chronic physical overexertion. A new type of change in the T wave—atypical asymmetry—was revealed in addition to changes described earlier in the literature as corresponding to this pathological condition. A detailed theoretical foundation for impaired repolarization was given. An electrocardiographic picture of a left ventricular diastolic overload was also considered as a manifestation of chronic physical overexertion. A classification was suggested for electrocardiographic variants of dysadaptation of an athlete's heart to physical loads as a result of physical overexertion.

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Translated from Fiziologiya Cheloveka, Vol. 31, No. 6, 2005, pp. 60–64.

Original Russian Text Copyright © 2005 by Aghajanyan.

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Aghajanyan, M.G. Electrocardiographic Manifestations of Chronic Physical Overexertion in Athletes. Hum Physiol 31 , 672–676 (2005). https://doi.org/10.1007/s10747-005-0113-1

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Received : 23 March 2004

Issue Date : November 2005

DOI : https://doi.org/10.1007/s10747-005-0113-1

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