Trend and disparities in authorship of healthcare-related publications on the ongoing Russia-Ukraine war.

BACKGROUND: The Russia-Ukraine war has undeniably impacted global science and healthcare in Ukraine. Many Ukrainian researchers have had their projects disrupted by this war, either due to loss of life, displacement, or destruction of resources. Despite these challenges, these researchers have sought to make their voices heard. This scoping review highlights the trend of healthcare-related publications on the current Russia-Ukraine war and characterizes the contribution of Ukrainian authors to these publications. METHOD: A comprehensive literature search was performed using two databases (Scopus and Pubmed) for publications related to the ongoing Russia-Ukraine war. We included articles only related to healthcare. We then extracted and analyzed bibliometric data. RESULT: One hundred and eighty-three articles were identified, including 12 (6.6%) original articles, 26 (14.2%) cross-sectional studies, 19 (10.4%) letters to the editor, 10 (5.5%) commentaries, 5 (2.7%) perspectives, 35 (19.1%) editorials, 2 (1.1%) randomized controlled trials, 11(6.0%) correspondences, 13 (7.1%) opinions, 8 (4.4%) reviews and 42 (23.0%) are identified as others. 180 (98.4%) studies were in English, and 3 (1.7%) were in German. 54 (29.5%) papers on the war had at least one author affiliated with a Ukrainian institution, and 29 (15.9%) studies had authors with Ukrainian affiliation as first authors. CONCLUSION: our study shows that there has been a significant number of publications on the Russia-Ukraine war and only a small portion of first authors, co-authors, and last authors of these publications are affiliated to an institution in Ukraine. Therefore, despite the relatively high number of publications, most publications do not arise from the perspective of Ukrainian authors.

COVID-19 vaccine-associated myocarditis: Analysis of the suspected cases reported to the EudraVigilance and a systematic review of the published literature.

Background: Myocarditis secondary to Coronavirus Disease 2019 (COVID-19) vaccination has been reported in the literature. Objective: This study aimed to characterize the reported cases of myocarditis after COVID-19 vaccination based on age, gender, doses, and vaccine type from published literature and the EudraVigilance database. Methods: We performed an analysis in the EudraVigilance database (until December 18, 2021) and a systematic review of published literature for reported cases of suspected myocarditis and pericarditis (until 30th June 2022) after the COVID-19 vaccination. Results: EudraVigilance database analysis revealed 16,514 reported cases of myocarditis or pericarditis due to the vaccination with COVID-19 vaccines. The cases of myo- or pericarditis were reported predominantly in the age group of 18-64 (n = 12,214), and in males with a male-to-female (M: F) ratio of 1.7:1. The mortality among myocarditis patients was low, with 128 deaths (2 cases per 10.000.000 administered doses) being reported. For the systematic review, 72 studies with 1026 cases of myocarditis due to the vaccination with COVID-19 vaccines were included. The analysis of published cases has revealed that the male gender was primarily affected with myocarditis post-COVID-vaccination. The median (IQR) age of the myocarditis cases was 24.6 [19.5-34.6] years, according to the systematic review of the literature. Myocarditis cases were most frequently published after the vaccination with m-RNA vaccines and after the second vaccination dose. The overall mortality of published cases was low (n = 5). Conclusion: Myocarditis is a rare serious adverse event associated with a COVID-19 vaccination. With early recognition and management, the prognosis of COVID-19 vaccine-induced myocarditis is favorable.

The effectiveness of cognitive-behavioral therapy for heart failure patients: a narrative review.

Heart failure (HF) remains a major cause of morbidity, mortality and healthcare costs, despite available treatments. Psychological issues such as depression, anxiety and poor self-care are prevalent in HF patients. Such issues adversely affect patients' daily lives and increase hospitalization and mortality rates; therefore, effective approaches to address these are needed. Cognitive-behavioral therapy (CBT) has been proposed as potentially useful for psychological comorbidities in HF patients, but its efficacy is not well-established. This narrative review aimed to summarize the evidence on the effectiveness of CBT for HF patients. A search was conducted using PubMed and Google Scholar for randomized controlled trials (RCTs) on CBT for HF patients. Ten studies (nine RCTs and one case study) were included in the review. CBT was found to be an effective intervention for managing depression, anxiety, low quality of life, and impaired social and physical functioning in HF patients. The results suggest that CBT can improve psychological well-being and enhance the benefits of rehabilitation programs. Face-to-face CBT appears to be superior to conventional therapy and can be implemented in cardiac rehabilitation settings. Further research is needed to evaluate the efficacy of internet-based CBT for cardiac patients and identify factors that promote treatment adherence.

Emerging zoonotic diseases and COVID-19 pandemic: global Perspective and Indian Scenario.

The current coronavirus disease 2019 (COVID-19) pandemic is one example of the scores of zoonotic diseases responsible for various outbreaks resulting in the deaths of millions of people for centuries. The COVID-19 pandemic has broken the age-old healthcare infrastructure and led to utter chaos. In the shadow of this pandemic, other zoonotic infections like the nipah virus, monkeypox, and langya virus, to name a few, have been neglected. Hence, outbreaks caused by such zoonotic viruses are rising in their endemic areas, like the Indian subcontinent. The mortality and morbidity due to such zoonoses are greater than usual due to the shortage of healthcare professionals caused by the COVID-19 crisis. Due to the lack of vaccines and therapeutics directed against this viral infection, treatment of patients is limited to supportive management and prevention, making preparedness for these potential zoonotic viral outbreaks essential. This paper highlights some of these zoonotic infections, which perpetuated and wreaked havoc while the world was occupied with containing the COVID-19 pandemic.

Medical Cannabis for Chronic Nonmalignant Pain Management.

PURPOSE OF REVIEW: Cannabis has been used since ancient times for medical and recreational research. This review article will document the validity of how medical cannabis can be utilized for chronic nonmalignant pain management. RECENT FINDINGS: Current cannabis research has shown that medical cannabis is indicated for symptom management for many conditions not limited to cancer, chronic pain, headaches, migraines, and psychological disorders (anxiety and post-traumatic stress disorder). Δ9-Tetrahydrocannabinol (THC) and cannabidiol (CBD) are active ingredients in cannabis that modulate a patient's symptoms. These compounds work to decrease nociception and symptom frequency via the endocannabinoid system. Research regarding pain management is limited within the USA as the Drug Enforcement Agency (DEA) classifies it as a schedule one drug. Few studies have found a limited relationship between chronic pain and medical cannabis use. A total of 77 articles were selected after a thorough screening process using PubMed and Google Scholar. This paper demonstrates that medical cannabis use provides adequate pain management. Patients suffering from chronic nonmalignant pain may benefit from medical cannabis due to its convenience and efficacy.

The Role of Machine Learning and Artificial Intelligence for making a Digital Classroom and its sustainable Impact on Education during Covid-19.

During the Disease outbreak and in the future, there will be a lot of learning. Since the pandemic has interrupted global schooling, remote learning has emerged as a viable option, depending on machine learning to accomplish its goals. Using the example of ten international science journals that speak out about artificial intelligence in education today and the future of earning, we hope to gain a better understanding of the large extend of the power of artificial intelligence in education, both during the COVID-19 period and during the future learning time frame. Additionally, in addition to evaluating 10 articles, we used an internet search engine to look for relevant material. We conducted searches using terms such as artificial intelligence, learning during a pandemic, and Machine learning, among other things. After that, we used a phenomenological technique to confirm that our results answered the research questions, which was done in accordance with a qualitative approach. Our findings can be summarized by taking into account the evidence from research and literature. Among our findings are that the detailed assessment of artificial intelligence in education, the use of AI in education, typical learning in the pandemic era, and the role of artificial intelligence (AI) disease outbreak learning are all important for both current and future residents. While statistical methods and automated based on learning jobs that are smarter than normal continue to be important, learning is becoming more automated. It helps individuals to be more concentrated on their learning opportunities and to recognize when they do not grasp a subject completely. First and foremost, the instructors provide valuable assistance throughout the assessment process of student learning outcomes.

Cerebral Venous Sinus Thrombosis Following COVID-19 Vaccination: A Systematic Review.

INTRODUCTION: COVID-19 vaccines became available after being carefully monitored in clinical trials with safety and efficacy on the human body. However, a few recipients developed unusual side effects, including cerebral venous sinus thrombosis (CVST). We aim to systematically review the baseline features, clinical characteristics, treatment, and outcomes in patients developing CVST post-COVID-19 vaccination. METHODS: This study was conducted according to the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) 2020 guideline. Investigators independently searched PubMed, Embase, and Google Scholar for English language articles published from inception up until September 10, 2021, reporting the incidence of CVST post-COVID-19 vaccines. We analyzed CVST patients' baseline data, type of vaccines, clinical findings, treatment, and outcomes. Our systematic review process yielded patient-level data. RESULT: The final analysis included 25 studies that identified 80 patients who developed CVST after the COVID-19 vaccination. Of the 80 CVST cases, 31 (39.24%) patients died. There was no significant relationship between mortality and age (P = .733), sex (P = .095), vaccine type (P = .798), platelet count (P = .93), and comorbidities such as hypertension (P = .734) and diabetes mellitus (P = .758). However, mortality was associated with the duration of onset of CVST symptoms after vaccination (P = .022). Patients with CVST post-COVID-19 vaccination were more likely to survive if treated with an anticoagulant (P = .039). Patients who developed intracranial hemorrhage (P = .012) or thrombosis in the cortical vein (P = .021) were more likely to die. CONCLUSION: COVID-19 vaccine-associated CVST is associated with high mortality rate. Timely diagnosis and management can be lifesaving for patients.