Background: Emergency Cardiac Surgery (ECS) is a component of cardiothoracic training. Citations are considered to represent a papers influence. Bibliometric analyses allow us to identify the most influential work, and future research. We aim to highlight the key research themes within ECS and determine their potential impact on cardiothoracic training.
Methods: Thomas Reuters Web of Science was searched using terms [Emergency AND Card* AND Surg*]. Results were ranked by citation and reviewed by a panel of cardiac surgeons to identify the top 100 cited papers relevant to ECS. Papers were analysed by topic, journal and impact. Regression analysis was used to determine a link between impact factor and scientific impact.
Results: 3823 papers were identified. Median citations for the top 100 was 88. The paper with the highest impact was by Nashef et al. focusing on the use of EuroSCORE (2043 citations). The Annals of Thoracic Surgery published most papers (n = 18:1778 citations). The European Journal of Cardiothoracic Surgery coveted the most citations (n = 2649). The USA published most papers (n = 55).The most ubiquitous topics were; risk stratification, circulatory support and aortic surgery. A positive relationship between journal impact fact and the scientific impact of manuscripts in ECS (P = 0.043) was deduced.
Conclusion: This study is the first of its kind and identified the papers which are likely to the contribute most to training and understanding of ECS. A papers influence is partially determined by journal impact factor. Bibliometric analysis is a potent tool to identify surgical training needs.
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http://dx.doi.org/10.1016/j.amsu.2019.05.002 | DOI Listing |
Cureus
January 2025
Pedodontics, Istanbul Turkuaz Dental Clinic, Istanbul, TUR.
Artificial intelligence (AI) has emerged as a transformative tool in education, particularly in specialized fields such as dentistry. This study evaluated the performance of four advanced AI models - ChatGPT-4o (San Francisco, CA: OpenAI), ChatGPT-o1, Gemini 1.5 Pro (Mountain View, CA: Google LLC), and Gemini 2.
View Article and Find Full Text PDFActas Esp Psiquiatr
January 2025
Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal; Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, 3000-548 Coimbra, Portugal; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, 3000-548 Coimbra, Portugal; Department of Psychiatry, Coimbra Hospital and University Centre, 3004-561 Coimbra, Portugal.
Background: The increasingly fast development of mobile health technologies holds significant value for individuals dealing with mental health conditions. However, inadequate consideration of patients' preferences and expectations undermines real-world outcomes, including sustained adherence. Driven by the belief that specific characteristics, such as youth and higher education, of individuals with obsessive-compulsive disorder make them suitable for digital adoption, we investigated mHealth-related desirability factors within this patient group.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Division of Gastroenterology, Department of Internal Medicine, University of Michigan Medical School, Medical Sciences Building II, Room 4741, Ann Arbor, MI, 48109, United States, 1 734-647-2964.
Background: Insulin resistance and the G allele of rs738409 interact to create a greater risk of metabolic dysfunction-associated steatotic liver disease.
Objective: This study aims to confirm that one promising way to reduce insulin resistance is by following a very low-carbohydrate (VLC) dietary pattern.
Methods: Adults with rs738409-GG or -CG with liver steatosis and elevated liver function tests, were taught an ad libitum VLC diet, positive affect and mindful eating skills, goal setting, and self-monitoring and given feedback and coaching for 4 months.
ACR Open Rheumatol
January 2025
Miami University, Miami, Florida.
Objective: This study aimed to expand the understanding of the patient with psoriatic arthritis (PsA) experience and to compare/contrast patient and clinician prioritization of PsA dimensions.
Methods: We conducted four patients with PsA focus groups across three US rheumatology practices using mixed methods to identify attributes of PsA important to patients. Combination with extant attributes of PsA identified by a steering committee created a comprehensive list of attributes.
Pharmacoeconomics
January 2025
Belgian Health Care Knowledge Centre, Brussels, Belgium.
Background: Forecasting future public pharmaceutical expenditure is a challenge for healthcare payers, particularly owing to the unpredictability of new market introductions and their economic impact. No best-practice forecasting methods have been established so far. The literature distinguishes between the top-down approach, based on historical trends, and the bottom-up approach, using a combination of historical and horizon scanning data.
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