Application of bibliometrics in medicine: a historical bibliometrics analysis.

BACKGROUND: The application of bibliometrics in medicine enables one to analyse vast amounts of publications and their production patterns on macroscopic and microscopic levels. OBJECTIVES: The aim of the study was to analyse the historical perspective of research literature production regarding application of bibliometrics in medicine. METHODS: Publications related to application of bibliometrics in medicine from 1970 to 2018 were harvested from the Scopus bibliographic database. Reference Publication Year Spectroscopy was triangulated with the VOSViewer to identify historical roots and evolution of topics and clinical areas. RESULTS: The search resulted in 6557 publications. The literature production trend was positive. Historical roots analysis identified 33 historical roots and 16 clinical areas where bibliometrics was applied. DISCUSSION: The increase in productivity in application of bibliometrics in medicine might be attributed to increased use of quantitative metrics in research evaluation, publish or perish phenomenon and the increased use of evidence-based medicine. CONCLUSION: The trend of the literature production was positive. Medicine was in the forefront of knowledge development in bibliometrics. reference publication year spectroscopy proved to be an accurate method which was able to identify most of the historical roots.

Nursing Informatics: A Historical Bibliometric Analysis.

Computers were introduced into nursing care areas in the early 1950s; however, nursing informatics' historical roots emerged much earlier. Contrary to previous studies, which used manual review of the nursing informatics literature, we employed an automated, electronic approach with specialized software to identify its historical roots. The corpus of nursing informatics literature was harvested from Scopus using "informatic*" in information source titles, abstracts, and keywords, limited to the "subject area = nursing." The search resulted in 3805 publications containing 57 057 valid references. Fifteen historical sources were identified, the two oldest written by nursing pioneer Florence Nightingale. Other historical roots represent specific foundational and core scholarly works offering insight into the genesis and sustainment of particular bodies of literature in the field of informatics. Our study revealed that the field of nursing informatics has sought to respond to global health concerns and that through intensive development nursing informatics has become an independent research area affecting nursing advancements in general. Additionally, nursing informatics has influenced other disciplines. This study offered an in-depth look at nursing informatics literature, using a systematic approach to identify historical roots and analyze the evolution of topics and themes to gain more information about knowledge development in nursing informatics.

Nursing Research Literature Production in Terms of the Scope of Country and Health Determinants: A Bibliometric Study.

PURPOSE: The aim of this paper was to present the results of the first study in which nursing research literature production was studied in the relation to country and health determinants. DESIGN: Bibliometric analysis was used. METHODS: The corpus of nursing publications was harvested from the Scopus indexing and abstracting database. Using research articles' metadata (funding acknowledgments, publication years, and author affiliations), we analyzed global trends in the nursing research literature production of funded and nonfunded publications. Next, we performed a regression analysis and correlation analysis relating nursing research productivity to health and country determinants. FINDINGS: The search resulted in 118,870 papers, among which 22.0% were funded (24.7% for G8 countries). Nursing literature production is exhibiting a positive trend. The United States is by far the most productive country in terms of funded and nonfunded literature production, although it is ranked only ninth in per capita production, for which Sweden is the most productive country regarding funded papers. The study also revealed that gross domestic product, human development factor, and gross national income were related to nursing research literature productivity. CONCLUSIONS: The positive trend in nursing research literature production (both funded and nonfunded) reveals a growth in nursing research funding. Regionally centered research literature production shows that the more developed and "rich" countries produce the majority of publications. A positive correlation is evident between country determinants and research literature production, as is a positive correlation between per capita literature research production and well-being and health determinants. CLINICAL RELEVANCE: Substantial growth in terms of nursing research literature production and research funding has been identified. While a limited amount of research in this area exists, this study revealed some interesting relations between nursing literature production and country and health determinants, which might motivate nursing researchers to pursue more intensive research and funders to support further growth of nursing research funding.

Basic training requirements for health care professionals who care for children.

The European Academy of Paediatrics (EAP) is the paediatric section of the European Union of Medical Specialists (UEMS). The UEMS is responsible for the supervision and approval of training programmes in paediatrics and in its subspecialties. This implies also that EAP has the responsibility to address the training of all professionals working with children, to ensure that their paediatric competences and skills are adequate when dealing with children. The EAP has developed syllabi for paediatricians that provide standards of practice, and criteria for the assessment of competencies in trainees and training centres across Europe. The EAP recommends that all health care professionals working with children should have an officially approved training in child health in addition to formal qualifications in their own field. Moreover, the existing paediatric workforce must maintain their knowledge and skills with relevant continuous professional development and medical education in child health. CONCLUSION: There is a need to reassess the training of all health care professionals caring for children, ensuring that it supports new models of integrated and multidisciplinary care and focuses on the needs of the child and the family. A standardised, competency-based minimum paediatric training programme/curriculum should be part in the specialty curriculums.

Tensiomyographic Assessment of Muscle Contractile Properties in 9- to 14-Year Old Children.

While there are numerous data on the skeletal muscle fiber type composition in adults, little is known about the changes in fiber type composition and contractile properties during maturational growth in children. Using noninvasive tensiomyography, we measured contraction time (Tc), an indirect estimate of the myosin heavy chain I (MHC-I) proportion, to assess the longitudinal changes of the biceps brachii (BB), biceps femois (BF), vastus lateralis (VL), and erector spinae (ES) muscles in 53 boys and 54 girls. The children were 9 years at the start of the study and returned for 5 follow-up measurements until the age of 14 years. The ES has the shortest and the BF has the longest Tc. The VL and ES of boys have shorter Tc than those of girls. When applying the relationship between proportion of MHC-I and Tc established in adults to children's TMG data, we found a slow-to-fast transition in the VL between, at least, the ages of 6 to 10 years, when it stabilized to adult proportions. Regular participation in sports was associated with a faster BF, but not in the VL. Our data represents a first non-invasive indication of the developmental changes in muscle fiber type composition in children.

Trends in nursing ethics research: Mapping the literature production.

BACKGROUND: There have been a number of debates in the field of nursing ethics. Researchers have focused on various aspects of nursing ethics, such as professional ethics, professional, nursing and ethical values. Within this research, a variety of literature reviews have been conducted, but to the best of our knowledge, bibliometric mapping has not yet been used. OBJECTIVE: This article aims to analyse the production of literature within nursing ethics research. RESEARCH DESIGN: In order to examine publishing patterns, we focused on publishing dynamics, prolific research entities and the most-cited articles. We additionally visualised the content of the literature using a novel mixed-method approach, combining bibliometric analysis and mapping with thematic analysis. Ethical considerations: In our study, ethical review was not required. FINDINGS: A total of 1416 information sources were found in the Scopus database. Overall, literature production has increased; however, in recent years, the quantity of published material has begun to decrease. The most prolific countries are the United States, the United Kingdom and Canada, and the most prolific source titles are Nursing Ethics, Journal of Advanced Nursing and Nursing Times. Lately, research in the field of nursing ethics has been focused more on life care (providing for the basic needs of older residents), moral distress and community nursing. DISCUSSION: The dynamics of research literature production showed an exponential rise in the number of published information sources - a rise which started in the period between 1974 and 1998. Since that period, the trend has stabilised, which might indicate that nursing ethics research is starting a transition to a mature phase. CONCLUSION: The innovative use of bibliometric analysis and mapping, together with thematic analysis, is a useful tool for analysis of research production in the field of nursing ethics. The results presented can be an excellent starting point for literature reviews and more exhaustive data, information and knowledge seeking.

Sleeping beauties in pediatrics.

Sleeping beauties (SBs) in science have been known for few decades; however, it seems that only recently have they become popular. An SB is a publication that "sleeps" for a long time and then almost suddenly awakes and becomes highly cited. SBs present interesting findings in science. Pediatrics research literature has not yet been analyzed for their presence, and 5 pediatrics SBs were discovered in this research. Their prevalence was approximately 0.011%. Some environments or periods are more "SB fertile" than others: 3 of 5 SBs were published in the journal Pediatrics, 4 originated from the United States, and 4 were published in the period from 1992 to 1993. No institutions or authors published more than 1 SB.

Human papillomavirus vaccination crisis in Japan.

The European Academy of Paediatrics (EAP) is gravely concerned about the human papillomavirus (HPV) vaccination crisis in Japan and particularly about the negative position taken by governmental authorities. Given that the HPV vaccine is both safe and effective, there is no recognizable reason to date to withhold this lifesaving and cost effective public health measure from a population. Therefore, the EAP strongly encourages the Japanese health authorities to actively support HPV vaccination for the future health of their children and adolescents.

The role of correspondence analysis in medical research.

Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret "bi-plots," where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items positioned near each other are more associated than those located farther away. Each bi-plot has two dimensions, named during the analysis. The naming of dimensions adds a qualitative aspect to the analysis. Correspondence analysis may support medical professionals in finding answers to many important questions related to health, wellbeing, quality of life, and similar topics in a simpler but more informal way than by using more complex statistical or machine learning approaches. In that way, it can be used for dimension reduction and data simplification, clustering, classification, feature selection, knowledge extraction, visualization of adverse effects, or pattern detection.

Outsourcing medical data analyses: can technology overcome legal, privacy, and confidentiality issues?

BACKGROUND: Medical data are gold mines for deriving the knowledge that could change the course of a single patient's life or even the health of the entire population. A data analyst needs to have full access to relevant data, but full access may be denied by privacy and confidentiality of medical data legal regulations, especially when the data analyst is not affiliated with the data owner. OBJECTIVE: Our first objective was to analyze the privacy and confidentiality issues and the associated regulations pertaining to medical data, and to identify technologies to properly address these issues. Our second objective was to develop a procedure to protect medical data in such a way that the outsourced analyst would be capable of doing analyses on protected data and the results would be comparable, if not the same, as if they had been done on the original data. Specifically, our hypothesis was there would not be a difference between the outsourced decision trees built on encrypted data and the ones built on original data. METHODS: Using formal definitions, we developed an algorithm to protect medical data for outsourced analyses. The algorithm was applied to publicly available datasets (N=30) from the medical and life sciences fields. The analyses were performed on the original and the protected datasets and the results of the analyses were compared. Bootstrapped paired t tests for 2 dependent samples were used to test whether the mean differences in size, number of leaves, and the accuracy of the original and the encrypted decision trees were significantly different. RESULTS: The decision trees built on encrypted data were virtually the same as those built on original data. Out of 30 datasets, 100% of the trees had identical accuracy. The size of a tree and the number of leaves was different only once (1/30, 3%, P=.19). CONCLUSIONS: The proposed algorithm encrypts a file with plain text medical data into an encrypted file with the data protected in such a way that external data analyses are still possible. The results show that the results of analyses on original and on protected data are identical or comparably similar. The approach addresses the privacy and confidentiality issues that arise with medical data and is adherent to strict legal rules in the United States and Europe regarding the processing of the medical data.

Research Trends in Motivation and Weight Loss: A Bibliometric-Based Review.

Obesity is a complex disease that, like COVID-19, has reached pandemic proportions. Consequently, it has become a rapidly growing scientific field, represented by an extensive body of research publications. Therefore, the aim of this study was to present the research trends in the scientific literature on motivation and weight loss. Because traditional knowledge synthesis approaches are not appropriate for analyzing large corpora of research evidence, we utilized a novel knowledge synthesis approach called synthetic knowledge synthesis (SKS) to generate new holistic insights into obesity research focusing on motivation. SKS is a triangulation of bibliometric analysis, bibliometric mapping, and content analysis. Using it, we analyzed the corpus of publications retrieved from the Scopus database, using the search string TITLE-ABS-KEY((obesity or overweight) and "weight loss" and motiv*) in titles, keywords, and abstracts, without any additional inclusion or exclusion criteria. The search resulted in a corpus of 2301 publications. The United States of America, the United Kingdom, and Australia were the most productive countries. Four themes emerged, namely, weight loss and weight-loss maintenance through motivational interventions, lifestyle changes supported by smart ICT, maintaining sustainable weight with a healthier lifestyle, and weight management on the level of primary healthcare and bariatric surgery. Further, we established that the volume of research literature is growing, as is the scope of the research. However, we observed a regional concentration of research and its funding in developed countries and almost nonexistent research cooperation between developed and less-developed countries.

The Effects of Diabetes and Being Overweight on Patients with Post-COVID-19 Syndrome.

In the aftermath of the COVID-19 pandemic, post-COVID-19 syndrome (PCS) remains a challenge and may continue to pose a major health problem in the future. Moreover, the influences of type 2 diabetes and being overweight on PCS remain unclear. This study aimed to assess these influences. We performed an observational study from October 2020 to July 2022, which included 466 patients (269 males and 197 females) with a median age of 65. They were hospitalized due to COVID-19 pneumonia and had persistent symptoms after 1 month of COVID-19 infection. The patients were divided into four groups according to the study objectives: patients with type 2 diabetes, overweight patients, overweight patients with type 2 diabetes, and average-weight patients without type 2 diabetes. The clinical and demographic data collected during hospitalization and regular visits to the Community Healthcare Center dr. Adolf Drolc Maribor were analyzed. Our results showed that type 2 diabetes patients had more difficult courses of treatment and longer hospitalizations. Moreover, more type 2 diabetes patients underwent rehabilitation than the other study groups. The prevailing symptoms of our patients with PCS were dyspnea and fatigue, mostly among female patients with type 2 diabetes. Our study also showed that more women with type 2 diabetes and overweight women with type 2 diabetes suffered from secondary infections. Furthermore, more overweight patients were treated in the intensive care unit than patients from the other groups. However, our study showed an interesting result: patients with type 2 diabetes had the shortest PCS durations. Type 2 diabetes and being overweight are risk factors for PCS onset and prolonged duration. Therefore, our data that revealed a shorter duration of PCS in type 2 diabetes patients than the other investigated groups was unexpected. We believe that answering the questions arising from our unexpected results will improve PCS treatment in general.

Profiling of patients with type 2 diabetes based on medication adherence data.

Introduction: Type 2 diabetes mellitus (T2DM) is a complex, chronic disease affecting multiple organs with varying symptoms and comorbidities. Profiling patients helps identify those with unfavorable disease progression, allowing for tailored therapy and addressing special needs. This study aims to uncover different T2DM profiles based on medication intake records and laboratory measurements, with a focus on how individuals with diabetes move through disease phases. Methods: We use medical records from databases of the last 20 years from the Department of Endocrinology and Diabetology of the University Medical Center in Maribor. Using the standard ATC medication classification system, we created a patient-specific drug profile, created using advanced natural language processing methods combined with data mining and hierarchical clustering. Results: Our results show a well-structured profile distribution characterizing different age groups of individuals with diabetes. Interestingly, only two main profiles characterize the early 40-50 age group, and the same is true for the last 80+ age group. One of these profiles includes individuals with diabetes with very low use of various medications, while the other profile includes individuals with diabetes with much higher use. The number in both groups is reciprocal. Conversely, the middle-aged groups are characterized by several distinct profiles with a wide range of medications that are associated with the distinct concomitant complications of T2DM. It is intuitive that the number of profiles increases in the later age groups, but it is not obvious why it is reduced later in the 80+ age group. In this context, further studies are needed to evaluate the contributions of a range of factors, such as drug development, drug adoption, and the impact of mortality associated with all T2DM-related diseases, which characterize these middle-aged groups, particularly those aged 55-75. Conclusion: Our approach aligns with existing studies and can be widely implemented without complex or expensive analyses. Treatment and drug use data are readily available in healthcare facilities worldwide, allowing for profiling insights into individuals with diabetes. Integrating data from other departments, such as cardiology and renal disease, may provide a more sophisticated understanding of T2DM patient profiles.

Lipoprotein(a) As a Risk Factor in a Cohort of Hospitalised Cardiovascular Patients: A Retrospective Clinical Routine Data Analysis.

INTRODUCTION: Lipoprotein(a) (Lp(a)) is a well-recognised risk factor for ischemic heart disease (IHD) and calcific aortic valve stenosis (AVS). METHODS: A retrospective observational study of Lp(a) levels (mg/dL) in patients hospitalised for cardiovascular diseases (CVD) in our clinical routine was performed. The Lp(a)-associated risk of hospitalisation for IHD, AVS, and concomitant IHD/AVS versus other non-ischemic CVDs (oCVD group) was assessed by means of logistic regression. RESULTS: In total of 11,767 adult patients, the association with Lp(a) was strongest in the IHD/AVS group (eß = 1.010, p < 0.001), followed by the IHD (eß = 1.008, p < 0.001) and AVS group (eß = 1.004, p < 0.001). With increasing Lp(a) levels, the risk of IHD hospitalisation was higher compared with oCVD in women across all ages and in men aged ≤75 years. The risk of AVS hospitalisation was higher only in women aged ≤75 years (eß = 1.010 in age < 60 years, eß = 1.005 in age 60-75 years, p < 0.05). CONCLUSIONS: The Lp(a)-associated risk was highest for concomitant IHD/AVS hospitalisations. The differential impact of sex and age was most pronounced in the AVS group with an increased risk only in women aged ≤75 years.

Role of Agile in Digital Public Health Transformation.

The digitalisation of healthcare, fueled by advances in technology and the COVID-19 pandemic can not only empower equitable access to global expert-level healthcare but also make healthcare more patient-centric. Every digital health solution has one common fundamental component: they all run on computing platforms and are powered by complex software. Traditional software development life cycles have often failed in designing complex software; consequently, the agile approach was introduced. To assess the role of agile in digital public health transformation, we used the synthetic knowledge synthesis, a triangulation of bibliometric mapping, and thematic analysis to analyse the available literature harvested from PubMed. The analysis showed that the use of the agile approach is underutilised in developing digital health software. Moreover, the study revealed that health organisations did not yet embrace the agile culture and should adapt using innovative agile solutions to deliver clinical value to patients and public health systems. Following the software industry, where agile software development is becoming the mainstream approach also for sensitive and regulated software, it is becoming even more essential that the digital health software development process should be modernised. Furthermore, a shift to agile collaboration, agile decision-making, trial tolerance, active engagement, purposeful technology adoption, knowledge sharing, and an open agile innovation ecosystem must be achieved.

The Use of Machine Learning Techniques to Predict Diabetes in Patients with Cystic Fibrosis.

The accuracy of the prognosis of diabetes in patients with cystic fibrosis is crucial, as it highly connected with mortality and other complications. The prognosis of diabetes is a time-consuming process. Usually, it is performed by medical staff and can often lead to misdiagnosis. The aim of the study was to analyze and evaluate risk factors of developing diabetes in patients diagnosed with Cystic Fibrosis by using classification machine learning techniques. The ECFS data register was used to train and test the models. Visualization of our results using SHAP values highlights that most important features are age, antibiotic treatment, FEV1 value and lung transplant as risk predictors for diabetes.