Mapping the global research landscape of tirzepatide: a bibliometric analysis of trends, collaborations, and emerging themes in obesity and diabetes managements.

Tirzepatide, a dual GIP/GLP-1 receptor agonist, shows promise in managing obesity and type 2 diabetes. This bibliometric analysis maps its research landscape, identifying trends, collaborations, and emerging themes to guide future investigations. A structured search of the Scopus database was performed using the keywords "tirzepatide" in titles or abstracts, limited to English-language original articles.

Machine Learning in Tuberculosis Research: A Global Bibliometric Analysis of Diagnostic, Prognostic, and Drug Discovery Trends.

Background And Objectives: Tuberculosis (TB) remains a major global health challenge, driving the need for innovative approaches in diagnosis and drug development. The integration of artificial intelligence (AI), particularly machine learning (ML), has enabled significant advancements in areas such as drug resistance prediction, radiomics, prognostic modeling, and computational drug discovery. This study presents a comprehensive bibliometric analysis of global research on machine learning and tuberculosis (MLTB), highlighting trends relevant to therapeutic innovation and regulatory science.

Comprehensive review of Wolbachia research (1936-2024): Global landscape, mapping progress and themes.

, an obligatory gram-negative intracellular bacterium associated with , was initially identified in mosquitoes and later in diverse invertebrates. This study utilizes bibliometric methodologies to quantitatively analyze research (WR), filling a gap in systematic analysis. Following PRISMA guidelines, original English papers were extracted from Scopus and analyzed using VOSViewer and Bibliometrix to assess performance indices, citations, co-word mapping, emerging themes, and the evolution of WR.

Definition, Diagnosis, Risk Stratification and Management of Newly Diagnosed Multiple Myeloma: The Saudi Myeloma Working Group Guidelines.

Multiple myeloma is a rising concern globally, with increasing incidence and mortality, especially in low- and middle-income countries. In Saudi Arabia, multiple myeloma care faces significant challenges outside tertiary care centers, including delays in diagnosis, limited availability of standardized treatment protocols, and considerable disparities in healthcare infrastructure. These issues are particularly prominent in non-urban and secondary healthcare facilities, where access to specialized diagnostics and therapies may be restricted, impacting early detection and optimal management of the disease.

A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, complying with regulations and the different types of data used by various institutions. We introduce the anisotropic-residual capsule hybrid Gorilla Badger optimized network (Aniso-ResCapHGBO-Net) framework for detecting brain tumors in a privacy-preserving, decentralized system used by many healthcare institutions.

Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach.

Background: Adopting generative artificial intelligence (GenAI) in education rapidly transforms learning environments, yet nursing students' acceptance and anxiety toward these technologies remain underexplored in Middle Eastern contexts. This study extends the Technology Acceptance Model (TAM) by incorporating constructs such as Facilitating Conditions (FC) and Social Influence (SI). It investigates the moderating role of Anxiety on Behavioral Intention to Use (BIU) generative AI tools.

Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition.

Arabic sign language (ArSL) is a visual-manual language which facilitates communication among Deaf people in the Arabic-speaking nations. Recognizing the ArSL is crucial due to variety of reasons, including its impact on the Deaf populace, education, healthcare, and society, as well. Previous approaches for the recognition of Arabic sign language have some limitations especially in terms of accuracy and their capability to capture the detailed features of the signs.

Spinal Anesthesia Results in Lower Costs Compared to General Anesthesia for Patients Undergoing Lumbar Fusion-A Matched Cohort Study.

: Degenerative lumbar spine disease (DLSD) is increasingly managed with minimally invasive surgery (MIS) and evolving anesthesia methods. While general anesthesia (GA) remains standard, spinal anesthesia (SA) may offer faster recovery and fewer side effects. This study compares the clinical and economic outcomes of GA versus SA in transforaminal lumbar interbody fusion (TLIF).

Guidelines on Management of Multiple Myeloma in the Relapsed/Refractory Setting: The Saudi Myeloma Working Group Guideline.

Although the therapeutic options for multiple myeloma have improved survival over time, multiple myeloma tends to relapse and become refractory many times over its course. Unfortunately, the chances of survival of the patients affected diminish with each relapse and consequent line of therapy they receive. The management of multiple myeloma, the therapeutic agents available, and the supportive measures recommended for it have significantly evolved since the Saudi Lymphoma/Myeloma Group published its consensus statement on the management of this disease in 2019.

Biomarkers in diabetic nephropathy: A comprehensive review of their role in early detection and disease progression monitoring.

Diabetic nephropathy (DN) is a primary contributor to end-stage renal disease (ESRD), arising from intricate pathways that include glomerular hypertension, inflammation, and oxidative stress. Conventional indicators like albuminuria and serum creatinine frequently identify renal impairment only at advanced stages, constraining early intervention. This thorough review assesses both established and novel biomarkers, including those signalling tubular injury (e.

Analysis of 11 bibliometric publications in the Journal of Robotic Surgery: a few suggestions.

Bibliometric research offers valuable insights into publication trends, citation dynamics, and research collaborations. The growing body of bibliometric literature reflects the dedication of numerous authors who have contributed significantly to our understanding of scientific progress. At the same time, the differences in methodology and scope can affect the depth and interpretation of findings.

Enhanced production and purification of L-asparaginase from Bacillus paralicheniformis AUMC B-516 with potent cytotoxicity against MCF-7 cell lines.

L-asparaginase is an important enzyme used in the pharmaceutical and food industries. Nowadays, bacterial species represent the main source of microbial synthesis for L-asparaginase. But studies aimed at improving production yields and new methods that use various microbes to expand the scope of application for the generated enzyme are also necessary for industrial manufacturing.

Teaching Spirituality in Nursing: Additional Evidence for Developing a Bibliometric Analysis.

Building upon previous bibliometric studies, this analysis expands the dataset and refines analytical methods to offer deeper insights into spirituality in nursing education. Using bibliometric techniques with Scopus, VOSviewer, and R Studio, 1227 papers were analyzed to identify key author contributions, leading institutions, and international collaborations. A comprehensive co-word analysis of the top 100 most cited papers revealed evolving research dynamics, mapping at least 50 key terms through uni-gram, bi-gram, and tri-gram approaches.

Global trends in radiography research: A bibliometric study of three key journals.

Previous bibliometric studies of radiography journals have been limited in scope, covering selective time periods such as 1997-2011, 2013-2022, or 2004-2011, and analyzing relatively small datasets ranging from 706 to 1,830 articles with a few limitations. The present study examined 3,875 papers published in Radiography, Journal of Medical Imaging and Radiation Sciences, and Journal of Medical Radiation Sciences since their inclusion in the Scopus database. Quantitative bibliometric indicators, including publication counts, citation performance, and mean citations per article/year, were computed using the Bibliometrix package in R Studio.

Work Addiction Among Critical Care Nurses: Exploring Its Impact on Creativity and Professional Quality of Life.

Background: Work addiction is characterized by a compulsive drive to work excessively, often leading to diminished job satisfaction and negatively impacting professional quality of life and creativity. Critical care nurses require a creative mindset to deal with the variety of obstacles encountered during their work. Creativity is essential for succeeding as a critical care nurse in today's competitive world.

Hypomagnesemia in lymphoma patients receiving CAR T therapy correlates with immune dysfunction and decreased survival.

Background: Hypomagnesemia has been correlated with inferior outcomes in patients with large B cell lymphoma (LBCL) undergoing stem cell transplants. As T-cell and myeloid cell dysfunction have been associated with low magnesium conditions, we investigated whether serum magnesium (Mg) levels could predict clinical outcomes in LBCL patients who received chimeric antigen receptor T-cell therapy.

Methods: Patients with LBCL who received axi-cel under the ZUMA-1 trial or as FDA approved therapy at Mayo Clinic were examined.

Exploring the evolving frontiers of sleep deprivation research in the post-COVID-19 era.

Sleep deprivation research (SDR) has undergone substantial transformations in the aftermath of the COVID-19 pandemic. This comprehensive study explores the SDR's evolving trends, hotspots, and conceptual structure in the post-COVID-19 era. Using bibliometric analysis with VOSviewer and Bibliometrix software, we examined the SDR publications from January 2020 to December 2023.

L-asparaginase from the novel Fusarium falciforme AUMC 16563: extraction, purification, characterization, and cytotoxic effects on PC-3, HePG-2, HCT-116, and MCF-7 cell lines.

Background: L-asparaginase has been a widely employed as antitumor enzyme for the treatment of acute lymphoblastic leukemia for almost three decades. The enzyme takes advantage of the inability of tumor cells to synthesize the L-asparagine and is killed by L-asparagine deprivation. Despite the availability of bacterial sources for L-asparaginase, there is a growing interest in identifying new microbial sources with improved therapeutic properties.

Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet).

This paper introduces a new probabilistic composite model for the detection of zero-day exploits targeting the capabilities of existing anomaly detection systems in terms of accuracy, computational time, and adaptability. To address the issues mentioned above, the proposed framework consisted of three novel elements. The first key innovations are the introduction of "Adaptive WavePCA-Autoencoder (AWPA)" for pre-processing stage which address the denoising and dimensionality reduction, and contributes to the general dependability and accuracy of zero-day exploit detection.

Bibliometric analysis: A few suggestions (Part Two).

This manuscript serves as a follow-up to our previous work, "bibliometric analysis: a few suggestions," where we highlighted key aspects of bibliometric research and offered recommendations for improving its rigor. In this draft, we expand on those ideas and provide additional suggestions aimed at enhancing the depth and scope of bibliometric analysis. By analyzing a few randomly selected bibliometric studies, we identified common practices and gaps in the field, which informed the inclusion of new recommendations not covered in our earlier paper.

Bibliometric Analysis of the Top 100 Most Cited Papers in Aesthetic Plastic Surgery.

Objective: To conduct a comprehensive bibliometric analysis of the top 100 most cited papers in aesthetic plastic surgery.

Methods: The analysis utilized VOSviewer, bibliometrix and biblioshiny packages in R. A keyword analysis was performed on all publications.

Nursing students' perceptions of patient safety culture and barriers to reporting medication errors: A cross-sectional study.

Background: Patient safety is critical to high-quality patient care. However, it is liable to medication errors (MEs).

Objective: Therefore, this study assessed perceptions of patient safety culture (PSC) and barriers to reporting MEs among nursing students in Hail City, Saudi Arabia.

Thematic Evolution and Scholarly Contributions: A Study of the Top 100 Most Cited Papers in the Journal of Religion and Health.

The Journal of Religion and Health (JORH) has significantly contributed to the intersection of spirituality and healthcare since its inception in 1961. We analyzed the top 100 most cited papers published in JORH, which may provide insights into authorship patterns, institutional affiliations, and publication dynamics. The data was retrieved from the Scopus database.

From Data to Recommendations: A Comprehensive Review of Ten Bibliometric Papers in Aesthetic Plastic Surgery.

This study provides a comprehensive analysis of ten papers published in Aesthetic Plastic Surgery, focusing on the identification of critical gaps and the integration of diverse analytical approaches. Through a detailed review, we observed missing indicators such as comprehensive bibliometric metrics and qualitative assessments of research impact. The findings underscore the need for a more balanced approach in future studies, combining quantitative bibliometric data with qualitative evaluations to provide a fuller understanding of the research landscape.