Collaborative Networks Research Articles

Interleukin-23 versus Interleukin-17 Inhibitors in Preventing Incidental Psoriatic Arthritis in Patients with Psoriasis: A Real-World Comparison From the TriNetX US Collaborative Network.

Psoriatic arthritis (PsA) is a common comorbidity in patients with psoriasis (PsO) that leads to significant disease burden. Biologic therapies targeting the interleukin (IL)-23/IL-17 axis have been widely used for PsO, but their comparative effectiveness in preventing PsA remains unclear. The study objective was to compare the occurrence of developing incidental PsA among PsO patients treated with interleukin-23 inhibitors (IL23is) or interleukin-17 inhibitors (IL17is). A retrospective cohort study was conducted using real-world data from the TriNetX US Collaborative Network, including 53 healthcare organizations. Adult PsO patients treated with IL23is or IL17is between January 2019 and June 2022 were identified. Cox regression analysis was used to assess the risk of PsA incidence, with hazard ratios (HRs) and 95% confidence intervals (CIs) reported. Subgroup analyses were performed based on age, sex, and ethnicity. Sensitivity analyses included comparisons with tumor necrosis factor (TNF) inhibitors (TNFis) to ensure robustness. A total of 4,580 PsO patients were included in the study, with 2,273 receiving IL23is and 2,307 receiving IL17is. Treatment with IL23is was associated with a significantly lower incidence of PsA compared to IL17is (HR = 0.60, 95% CI 0.44-0.82, P = 0.001). This reduction in risk was particularly notable in the 41- to 65-year age group (HR = 0.42, 95% CI 0.27-0.64, P < 0.001) and among females (HR = 0.57, 95% CI 0.38-0.86, P = 0.007). Subgroup analyses based on ethnicity revealed varying outcomes, with White patients showing a significant risk reduction (HR = 0.55, 95% CI 0.38-0.79, P = 0.001) but no significant risk reduction was observed in Black or African American patients (HR = 1.37, 95% CI 0.37-5.13, P = 0.637). Sensitivity analyses comparing IL23is and TNFis confirmed the robustness of the findings. IL23is are associated with a lower risk of PsA incidence compared to IL17is in PsO patients, particularly in specific age, sex, and ethnic groups. These findings suggest that IL23is may be more suitable for PsO patients at high risk of PsA and could inform potential updates to treatment guidelines. Further research should focus on refining therapeutic strategies by incorporating patient-specific factors such as comorbidities, ethnicity, and genetic predispositions, which could optimize biologic selection and enhance PsA prevention efforts in clinical practice.

The photochemical inheritance of Eduardo Lissi and Juan Grotewold and the intersystem crossings with otherinheritances.

In 1963, Eduardo Lissi and Juan Grotewold started a chemical kinetics and photochemistry group at the School of Sciences at the University of Buenos Aires (Facultad de Ciencias Exactas y Naturales, FCEN, UBA). Political circumstances in Argentina and in Chile were a great determinant of the evolution, dispersion, and re-encounters of the group members. The initial graduate students in the group developed their own research groups working in various Countries and on a variety of projects. We relate the story of the strong interactions with each other of the original group as well as the cooperations and synergy (Intersystem Crossings) of Lissi and Grotewold and of their descendants with other research groups, mainly (but not only) in Latin America. A strong network of partnerships, friendships, and fruitful collaborations between the kineticists, photochemists, and photobiologists in Argentina, Chile and Brazil has evolved from the initial steps in the 1960s.

Mindfulness and consumer behavior: a bibliometric analysis of themes and trends over 20 years

Mindlessness, or lack of awareness, is deeply rooted in society and reinforced by the constant stimuli from marketing practices, leading to unhealthy and unsustainable consequences for individuals, society, and the environment. In consumer behavior, this manifests as impulsive or excessive purchasing, which undermines well-being and happiness rather than enhancing them. Mindfulness has emerged as a potential solution to mindless consumption that, fostering change from the inside out, not only benefits personal well-being but also contributes to the broader well-being of society. Consumer behavior and mindfulness have been studied independently in fields such as psychology and sociology for several decades. However, the joint study and application of these areas have gained prominence in recent years, driven by the expanding practice and growing academic interest in mindfulness. This paper aims to contribute to this research field by conducting a comprehensive analysis of the key elements that shape and drive research in mindfulness and consumer behavior over the past two decades. Using a bibliometric analysis of 198 articles from the Web of Science and Scopus databases, the study identifies leading authors, institutions, countries, journals, and collaborative research networks, along with core thematic areas within the field. This research can serve as a foundation for future research and guide organizations and institutions in understanding potential shifts in consumer behavior associated with mindfulness practices. By positioning mindfulness as an integral part of the transformation in consumption behaviors, organizations may support and adapt to a more harmonious and sustainable future centered on universal well-being and the prioritization of beneficial consumption practices.

A Bibliometric Analysis of Metal‐Based Catalysts for Efficient Hydrogen Production

ABSTRACTThis study investigates global research trends on the catalytic performance of metal‐based catalysts for enhanced hydrogen production over the past 89 years (1935–2024) through a comprehensive bibliometric analysis. The research addresses the evolution of metal‐based catalysts in hydrogen production and highlights the most prominent contributors and driving trends. The study analyzed 32,987 peer‐reviewed studies identified through Scopus database. The search was conducted from September 1, 1935, to July 20, 2024, utilizing keywords such as “(TITLE‐ABS‐KEY ((“Ru” OR “Ni” OR “Fe” OR “Co” OR “Mo” OR “Pt” OR “Pd” OR “Cr” OR “metal catalysts*”) AND (“hydrogen production*” OR “H2 production*” OR “hydrogen generation*” OR “H2 generation*”))).” The analysis covered various aspects, such as countries, authors’ affiliations, prominent journals, research areas, and key terms driving discussions in the field. It also noted that researchers with fewer publications may have been overlooked. Bibliometric parameters, including publication counts, citations, total link strength (TLS), and collaboration networks, were examined. Results indicate a steady rise in publications, with significant growth observed from 2000 onwards. The most recent period (2019–2024) alone accounted for 55.6% of the total publications, with a notable 26.5% growth from 2021 to 2022. China leads in both publication volume and TLS, followed by the United States and the United Kingdom. The International Journal of Hydrogen Energy (IJHE) emerged as the top journal with 4653 relevant articles. The analysis reveals a shift in focus from early studies on iron and platinum to a more recent emphasis on nickel‐based catalysts and hydrogen evolution reactions (HER). These findings highlight several challenges, including the need to improve catalyst efficiency, address scalability issues, and develop more sustainable catalytic materials. Future research should focus on advancing catalyst design, optimizing reaction conditions, and enhancing catalytic stability for large‐scale hydrogen production.

Are More Adults Bleeding After Tonsillectomy Than in the Past?

Post-tonsillectomy hemorrhage (PTH) rates have increased in children over the last decade. This study aimed to determine whether PTH incidence in adults had also increased over the last 15 years. Retrospective study. TriNetX database. A search was conducted using TriNetX for patients 18 years and older within the US Collaborative Network who had undergone tonsillectomy (CPT codes 42821 or 42826) and yielded 72,232 subjects. PTH diagnoses were identified using ICD-10 codes J95.830 or K91.840, and those who returned to the operating room (RTOR) to control PTH were identified using CPT 42962. PTH events that occurred and analgesics given following 14 days of tonsillectomy were tabulated annually from 2008 to 2022. Mann-Kendall test for monotonic trend examined significant trends in PTH and analgesic use. Mean age at tonsillectomy was 32.8 years (SD = 13.8). 4.1% were diagnosed with PTH in 2008, compared with 6.2% by 2022 (p = 0.0030). In 2008, 0.7% required RTOR to control PTH, compared with 2.4% in 2022 (p < 0.0001). Use of codeine decreased from 6.9% in 2008 to 2.5% in 2022 (p = 0.0022). Use of ibuprofen, acetaminophen, ketorolac, and oxycodone increased from 1.6% to 23.4% (p = 0.0005), 36.1% to 78.6% (p < 0.0001), 1.5% to 11.9% (p < 0.0001), and 20.6% to 63.6% (p < 0.0001), respectively. No change was detected in use of hydrocodone. Post-tonsillectomy analgesia in adults has changed significantly over the last 15 years. Our study highlights a concurrent increase in PTH which bears more investigation. 3 Laryngoscope, 2025.

A bibliometric analysis of studies on artificial intelligence in neuroscience

The incorporation of artificial intelligence (AI) into neuroscience has the potential to significantly enhance our comprehension of brain function and facilitate more effective diagnosis and treatment of neurological disorders. Artificial intelligence (AI) techniques, particularly deep learning and machine learning, offer transformative solutions by improving the analysis of complex neural data, facilitating early diagnosis, and enabling personalized treatment approaches. A bibliometric analysis is a method that employs quantitative techniques for the examination of scientific literature, with the objective of identifying trends in research, evaluating the impact of influential studies, and mapping the networks of collaboration. In light of the accelerated growth and interdisciplinary scope of AI applications in neuroscience, a bibliometric analysis is vital for mapping the landscape, identifying pivotal contributions, and underscoring emerging areas of interest. This study aims to address this need by examining 1,208 studies published between 1983 and 2024 from the Web of Science database. The analysis reveals a notable surge in publications since the mid-2010s, with substantial advancements in neurological imaging, brain-computer interfaces (BCI), and the diagnosis and treatment of neurological diseases. The analysis underscores the pioneering role of countries such as the United States, China, and the United Kingdom in this field and highlights the prevalence of international collaboration. This study offers a comprehensive overview of the current state and future directions of AI applications in neuroscience, as well as an examination of the transformative potential of AI in advancing neurological research and healthcare. It is recommended that future research address the ethical issues, data privacy concerns, and interpretability of AI models in order to fully capitalize on the benefits of AI in neuroscience.

Bibliometric analysis in Scopus of scientific production on the relationship between periodontitis and gastrointestinal cancer (2014 - 2023).

Recent studies have suggested that some opportunistic periodontal pathobionts have oncogenic properties. However, few bibliometric studies investigate the relationship between periodontitis and gastrointestinal cancer. This bibliometric study aimed to analyze these epidemiological studies conducted between 2014 and 2023 to guide future research. In March 2024, the Scopus database was explored. The articles selected were subjected to a bibliometric analysis of study designs, trends in annual scientific production, and networks of collaboration among countries. Furthermore, the most outstanding countries, academic institutions, authors and journals with the most significant number of publications and the top most cited articles were analyzed. For this purpose, Microsoft Excel, SPSS and VOSviewer 1.6.20 were used. A total of 123 documents were included for analysis. China contributed the most significant number of publications (33 articles) and the United States had the most significant number of citations (2709). Weimin Ye (h-index:81) and Dominique Michaud (h-index:73) were the most prolific authors (5 articles); Dominique Michaud also had the most citations (470). International Journal of Cancer was the journal with the highest number of articles published (6), in addition to being the publication that had the most citations of these articles (409). Tufts University in the United States had the highest number of citations. Between 2014 and 2023, 123 articles on the relationship between periodontitis and gastrointestinal cancer were published. The largest scientific production was found in China, and the most cited articles were those from the United States. Likewise, the research design most commonly usedwas the cross-sectional type.

A Bibliometric Analysis of Neonatal Condition Research in Africa: Volume, Impact, Themes, and Collaboration

Background: The literature has addressed the negative impact of poor neonatal conditions (NCs) across regions. This has drawn attention to the need to improve NCs, particularly in Africa. NCs research can make an important contribution. However, there is no study dedicated to this topic in Africa. A bibliometric analysis of NCs research can assist scientists in planning ongoing and new NCs research and support those involved in developing and implementing strategies to combat poor NCs. Methods: This study used discipline-specific terms to identify articles on NCs published between 2000 and 2019 and indexed in the Web of Science Core Collection (WoS) with at least one African author. A bibliometric analysis was applied to determine the volume, visibility, topics, and collaboration activities related to NCs research. Results: The results show that knowledge on NCs increased between 2000 and 2019; NCs research is concentrated in a few African countries (Egypt, South Africa, Nigeria, Tanzania, and Kenya), and its visibility is below the world average. In general, maternal mortality is the most researched topic and collaborative activities are frequent, mainly international research collaboration (IRC), with the United States of America (USA) and the United Kingdom (UK) being the main partners (they participated in 57% and 28% of all articles with IRC). The collaboration networks are fragile as 43–67% of all links represent one article in 20 years. Conclusions: Ongoing and new NCs research in Africa should consider the main African players and their partners as important sources of knowledge. There is a need to implement strategies to increase NC knowledge in other African countries, expand and strengthen collaboration networks, and diversify the sources of knowledge.

Development of model schools and practices for minimizing violence among students

ABSTRACT Violence among students in Thai society is a growing concern. This study aimed to develop model schools to address violence, evaluate their effectiveness, and propose a scalable practice model. Nine vocational schools in Bangkok implemented a participatory action research (PAR) approach using the PAOR cycle. Surveys, focus groups, and observations collected data, which underwent qualitative and quantitative analysis. Results showed that, compared to the previous year, two schools had no violent incidents, two saw a 50% reduction, and five achieved a 100% reduction in violence. Qualitative findings indicated improvements in student behavior, management systems, and collaboration networks. Key success factors included personnel commitment, strong networks, and adaptable management. The study created the ‘3S3C Practice Model,’ which integrates core activities with ‘T.E.A.M. Principles’ to enhance implementation. This model offers a framework for reducing student violence. Future research should focus on validating its applicability and scalability in diverse educational settings.

Unveiling the conceptual and intellectual map of care bundle research in ICUs: Trends, key issues, and collaborative networks.

Care bundles are evidence-based practices intended to improve patient outcomes and have become a significant focus in intensive care. This study aims to identify research trends, key topics, leading researchers, and significant collaborations in care bundle research within ıntensive care units by mapping the conceptual and intellectual structure of the field. Data were collected from the Web of Science database, covering publications from 2010 to 2024. The search terms included 'bundle*' or 'bundle* care' and 'intensive care unit' or 'critical care'. The analysis used tools like the Biblometrix package in R and VOSviewer, focusing on performance metrics, co-citation analysis, co-occurrence network analysis, and thematic mapping. The annual growth rate of publications on care bundles is 6.26%. The most prolific journals include Critical Care Medicine, the American Journal of Infection Control, and Infection Control and Hospital Epidemiology. Thematic mapping shows research is concentrated on critical areas such as infection control, patient safety, and quality improvement. While some themes, like 'intensive care units' and 'central line-associated bloodstream infection', are well-developed and central, others like 'maternal safety consensus' and 'safety consensus bundle' are highly developed but less central. Emerging themes like 'acute kidney injury' suggest potential areas for future research. This bibliometric analysis offers a comprehensive overview of intensive care unit care bundle research, highlighting a strong focus on critical issues like infection control, patient safety, and care quality improvement. The study provides crucial insights for clinical practice by identifying key research trends and underexplored topics related to intensive care unit care bundles. These findings can guide the development of more effective care protocols, promote multidisciplinary collaboration, and enhance healthcare professional education, ultimately contributing to optimized patient care and high standards in the intensive care unit through improved care bundle implementation.

Decadal evolution of GIS in disaster management and risk assessment

This study conducts a bibliometric analysis of the evolution of Geographic Information Systems (GIS) in disaster risk management and assessment over a 25-year period, from 2000 to 2024. Utilizing a dataset derived from academic publications indexed in prominent scientific databases, we examine the growth trajectory, thematic evolution, scholarly collaboration, and technological advancements within the field. Our findings reveal a significant increase in the volume of GIS-related research in disaster management, underscored by a shift from foundational applications toward the integration of cutting-edge computational techniques. Analysis of collaboration networks highlights the global nature of research efforts, demonstrating extensive international cooperation that transcends geographical and disciplinary boundaries. Thematic analysis indicates a progressive focus on vulnerability assessments, climate change impacts, and the incorporation of remote sensing and machine learning technologies, reflecting the field's response to emerging challenges and the dynamic landscape of disaster risk management. The study not only charts the historical development of GIS applications in this domain but also identifies key research trends, influential works, and potential future directions, underscoring the critical role of GIS in enhancing disaster resilience. This bibliometric perspective provides valuable insights into the maturation of GIS as an indispensable tool in disaster management and offers a roadmap for future research and technological innovation aimed at mitigating disaster risks and building resilient communities

Comprehensive review of mapping climate change impacts on tea cultivation: bibliometric and content analysis of trends, influences, adaptation strategies, and future directions

Climate change has a profound impact on tea cultivation, posing significant challenges to yield, quality, and sustainability due to stressors such as drought, temperature fluctuations, and elevated CO₂ levels. This study aims to address these challenges by identifying and synthesizing key themes, influential contributions, and effective adaptation strategies for mitigating the impacts of climate change on tea production. A systematic bibliometric and content analysis was conducted on 328 peer-reviewed documents (2004–2023), following the PRISMA methodology. Performance analysis using Bibliometrix examined trends in publication output, leading contributors, and geographical distribution, while science mapping with VOSviewer revealed collaboration networks and thematic clusters. A detailed review of highly cited studies highlighted the primary climate variables affecting tea cultivation and identified innovative adaptation strategies, as well as critical knowledge gaps. The results show significant progress in understanding the physiological, biochemical, and molecular responses of tea plants to climate-induced stressors, including antioxidant mechanisms, secondary metabolite regulation, and genomic adaptations. Despite these advancements, challenges remain, particularly regarding the combined effects of multiple stressors, long-term adaptation strategies, and the socioeconomic implications of climate change. The findings underscore the need for interdisciplinary approaches that integrate molecular, ecological, and socioeconomic research to address these issues. This study provides a solid foundation for guiding future research, fostering innovative adaptation strategies, and informing policy interventions to ensure sustainable tea production in a changing climate.

DOP102 Comparative effectiveness of risankizumab vs. ustekinumab in bio-naïve Crohn's disease patients: A real-world multicentre retrospective cohort study

Abstract Background The SEQUENCE trial, in bio-exposed Crohn's disease (CD) patients, demonstrated non-inferiority for clinical remission at 24 weeks and superiority for endoscopic remission at week 48 for risankizumab (RZB) compared to ustekinumab (UST). However, this comparison has not been adequately explored in bio-naive CD patients. Our study aimed to compare the clinical effectiveness among bio-naive CD patients treated with RZB vs. UST in a real-world setting, using data from a US-based multicenter cohort. Methods This retrospective cohort study utilized data from the TriNetX US Collaborative Network, comprising sixty-eight tertiary institutions, to examine adult (≥18 years) bio-naive CD patients initiated on RZB or UST from June 17th, 2022 (FDA approval date) to October 31st, 2024. Patients with prior advanced therapy usage and those with approved rheumatologic disease indications for RZB/UST were excluded. A 1:1 propensity score matching (PSM) analysis was conducted to balance cohorts on demographics, baseline comorbidities, and indicators of CD severity, including CD phenotype, extraintestinal manifestations, concurrent corticosteroid use, hemoglobin, and body weight. Cox proportional hazards models estimated hazard ratios (HRs) in matched cohorts for one-year post-treatment composite outcomes (need for corticosteroids, hospitalizations, emergency room visits, surgeries) with a priori significance threshold of p &amp;lt; 0.05. Results The study sample included 1,630 bio-naive CD patients treated with RZB and 3,105 with UST. Among patients on UST, 658 (21%) were dosed every four to six weeks, after the first dose. Baseline characteristics of the PSM RZB and UST cohorts are shown in Table 1 with 1,568 patients in each cohort. After PSM (Figure 1), there were no significant differences in composite outcome (HR 1.077, p = 0.170), corticosteroid use (HR 1.099, p = 0.110), CD-related surgery (HR 1.231, p = 0.284), hospitalization (HR 0.947, p = 0.615) or ER visits (HR 1.041, p = 0.687). Additionally, no significant differences were observed in opioid use (HR 1.062, p = 0.366), switch to different advanced therapy (HR 1.097, p = 0.468) or elevated disease biomarkers, including CRP (&amp;gt;10mg/l, HR 1.186 p = 0.101) or fecal calprotectin (&amp;gt;150 µg/g; HR 1.109, p = 0.407) at 1-year follow-up. Conclusion In this real-world experience allowing for drug optimization, no difference was observed in bio naïve patients between UST and RZB as far as clinical remission and progression of CD.

Developing a collaborative Dungeness crab larval monitoring network in the Salish Sea to provide long-term, fishery-relevant data

Abstract Many natural resources are managed without essential, biologically relevant data. Fisheries are particularly susceptible to this reality and, thus, are vulnerable to environmental changes and disturbances, with both human livelihoods and the health of ecological systems at stake. Here, we explore how the Pacific Northwest Crab Research Group (PCRG) employs a collaborative, stakeholder-driven approach to generate the information needed to inform a data-poor, co-managed fishery, using the example of Dungeness crab Metacarcinus magister in the northeastern Pacific’s Salish Sea. We focus on the PCRG larval crab monitoring network as a multifaceted case study, which unites tribal, state, and federal governments, nongovernmental organizations, academic institutions, and local communities working to produce the first standardized continuous data set on Dungeness crab larval dynamics in the region. Highlighting the types of biological data collected, including spatial and temporal patterns of larval flux and larval size, we explore the application of novel data to fisheries management, as well as the network’s contribution to a diversity of educational opportunities and ability to leverage new research projects and collaborations. The success of PCRG’s larval crab monitoring network ultimately highlights the effectiveness of a cooperative, network-based approach in addressing fisheries management challenges and offers a viable model for managing data-poor systems worldwide.

Is Artificial Intelligence a Game-Changer in Steering E-Business into the Future? Uncovering Latent Topics with Probabilistic Generative Models

Academic publications from the Web of Science Core Collection on “e-business” and “artificial intelligence” (AI) are investigated to reveal the role of AI, extract latent themes and identify potential research topics. The proposed methodology includes relevant graphical representations (trends, co-occurrence networks, Sankey diagrams), sentiment analyses and latent topics identification. A renewed interest in these publications is evident post-2018, with a sharp increase in publications around 2020 that can be attributed to the COVID-19 pandemic. Chinese institutions dominate the collaboration network in e-business and AI. Keywords such as “business transformation”, “business value” and “e-business strategy” are prominent, contributing significantly to areas like “Operations Research &amp; Management Science”. Additionally, the keyword “e-agribusiness” recently appears connected to “Environmental Sciences &amp; Ecology”, indicating the application of e-business principles in sustainable practices. Although three sentiment analysis methods broadly agree on key trends, such as the rise in positive sentiment over time and the dominance of neutral sentiment, they differ in detail and focus. Custom analysis reveals more pronounced fluctuations, whereas VADER and TextBlob present steadier and more subdued patterns. Four well-balanced topics are identified with a coherence score of 0.66 using Latent Dirichlet Allocation, which is a probabilistic generative model designed to uncover hidden topics in large text corpora: Topic 1 (29.8%) highlights data-driven decision-making in e-business, focusing on AI, information sharing and technology-enabled business processes. Topic 2 (28.1%) explores AI and Machine Learning (ML) in web-based business, emphasizing customer service, innovation and workflow optimization. Topic 3 (23.6%) focuses on analytical methods for decision-making, using data modeling to enhance strategies, processes and sustainability. Topic 4 (18.5%) examines the semantic web, leveraging ontologies and knowledge systems to improve intelligent systems and web platforms. New pathways such as voice assistance, augmented reality and dynamic marketplaces could further enhance e-business strategies.

P0982 Efficacy of upadacitinib in patients with Crohn’s disease and an ostomy: A matched retrospective real-world cohort analysis

Abstract Background Upadacitinib (UPA) is an oral selective Janus kinase inhibitor approved for the management of moderate-to-severe Crohn’s disease (CD). One in ten CD patients may need a permanent ostomy (colostomy or ileostomy) during their disease course, and this may impact the efficacy of UPA, given its extended-release formulation. However, there is no data available in this population since patients with an ostomy are excluded from registrational CD trials. This study addresses this gap by comparing the real-world clinical effectiveness of UPA in CD patients with and without ostomy. Methods This retrospective cohort study analyzed data from the TriNetX US Collaborative Network of sixty-eight tertiary institutions, to examine adult (≥18 years) CD patients treated with UPA from May 19th, 2023 (FDA approval date) to October 31st, 2024. Patients were categorized based on presence or absence of an ostomy during the previous 5 years, after exclusion of patients with rheumatologic disease indications for UPA usage. A 1:1 propensity score matching (PSM) was performed to balance cohorts on demographics, baseline comorbidities, and CD severity indicators (CD phenotype, extraintestinal manifestations, concurrent corticosteroid and other biologics usage, hemoglobin, and body weight). Cox proportional hazards model estimated hazard ratios (HRs) in matched cohorts for clinical effectiveness as a composite outcome (corticosteroid use, hospitalizations, emergency room visits) and secondary individual outcomes, at one year post-treatment, with a significance threshold set at p &amp;lt; 0.05. Results The study sample of CD patients on UPA included 170 with and 1,428 without a prior ostomy. There were 144 patients in each cohort after PSM. Baseline characteristics of the cohorts are shown in Figure 1. After PSM (Figure 2), there were no significant differences between patients with CD on UPA, with and without prior ostomy, for composite outcomes (HR 0.93, p = 0.64), corticosteroid use (HR 0.78, p = 0.18), hospitalizations (HR 1.13, p = 0.64), or emergency room visits (HR 0.99, p = 0.97). Additionally, no significant differences were observed in opioid use (HR 0.95, p = 0.76), switch to another advanced therapy (HR 1.62, p = 0.06), or elevated biomarkers, including CRP (&amp;gt;10 mg/L, HR 1.00, p = 0.99) and fecal calprotectin (&amp;gt;150 µg/g, HR 0.85, p = 0.63) at the 1-year follow-up. Conclusion In CD patients, UPA demonstrated similar effectiveness for clinical outcomes of corticosteroid use, hospitalizations, emergency room visits and other secondary outcomes, regardless of their ostomy status.

Optimizing Human Resource Quality to Enhance Academic Performance: Insights from SMP Negeri 9 Muaro Jambi

This study investigates the strategic role of human resource quality in enhancing schools' academic performance, focusing on SMP Negeri 9 Muaro Jambi. Data were collected through in-depth interviews, participatory observation, and document analysis using a qualitative descriptive approach. SMP Negeri 9 Muaro Jambi is one of the schools in the border area between Muaro Jambi Regency and Jambi City; most teachers and educators come from Jambi City, while the students come from Muaro Jambi Regency. Both places have their uniqueness. One of the challenges of this situation is the inequality in the use of digital media in learning. Teachers in border schools (such as SMP Negeri 9 Muaro Jambi) often receive training in using digital learning media. In contrast, these media do not support (not available according to teacher training materials). Thus, further training is needed in the form of adjustments or adaptations of training materials to the actual situation at school. Key findings highlight that the presence of certified and experienced teachers significantly contributes to improved teaching outcomes, while uneven workload distribution and limited technological integration present challenges. The research underscores the importance of government support for teacher professional development and infrastructure improvement to address these gaps. Moreover, fostering community engagement and leveraging local opportunities are pivotal in strengthening school competitiveness amidst external threats, such as competition from alternative educational institutions. The study concludes with actionable strategies to optimize human resources, emphasizing continuous training, technological adoption, and establishing collaborative networks, which collectively aim to elevate educational quality.

Osseointegration Process Improving via Functionalization of Titanium Dioxide Nanotubes: A Bibliometric Analysis and Systematic Review.

Failures of osseointegrated implants pose a significant challenge in the medical field, often attributed to prolonged osseointegration periods and bacterial infections. Functionalization of Titanium Dioxide Nanotubes (TNTs) has emerged as a promising strategy to improve osseointegration and mitigate infections. This study aims to conduct a bibliometric analysis and systematic review to identify trends, gaps, and advancements in research on the functionalization of TNTs for osseointegration improvement. Articles were retrieved from the Web of Science database using the keywords "osseointegration," "titanium dioxide nanotubes," and "functionalization." The inclusion criteria were studies published between 2014 and 2023, written in English, and focusing on the use of TNTs in implant surface modifications. A total of 126 articles were included after screening. Data extraction and analysis were performed using VOS Viewer, Microsoft Excel, and GraphPad Prism. The review revealed a growing number of publications on TNT functionalization, with China, the United States, and Brazil leading in contributions. Key findings include the effectiveness of TNTs loaded with bioactive agents (e.g., silver, strontium, hydroxyapatite) in promoting osseointegration and antibacterial activity. Collaborative networks among institutions and authors were mapped, highlighting the Sao Paulo State University and Yong Huang as the most prolific contributors. The findings underscore the potential of TNT functionalization to enhance implant performance. However, a gap remains in translating preclinical findings into clinical trials. Future research should focus on clinical validation to bridge this gap and translate laboratory advancements into therapeutic solutions.

Preconception GLP-1 Receptor Agonist Use Associated with Decreased Risk for Adverse Obstetric Outcomes.

The use of glucagon-like-peptide-1 receptor agonists (GLP-1RAs) has greatly increased in patients of reproductive age within the past four years. However, there is minimal research into the long-term impact of these medications on future pregnancies. We aimed to evaluate the association between adverse obstetric outcomes and antecedent GLP-1RA use using a nationally representative database. We conducted a retrospective cohort study of female patients age ≥ 18 using the United States Collaborative Network in TriNetX. We defined the exposure cohort as individuals who received a GLP-1RA prescription within 2 years preceding a pregnancy. The unexposed cohort comprised individuals with a history of pregnancy but no prior history of GLP-1RA use. Cohorts were matched for age, race, ethnicity, and history of co-morbid conditions. ICD-10 codes for hypertensive disorders of pregnancy (HDP), gestational diabetes mellitus (GDM), preterm delivery, and rates of Cesarean section (CD) were the primary outcomes of interest compared between the cohorts. Logistic regression was performed in TriNetX to determine odds ratios (OR) and 95% confidence intervals (CI). After matching, there were 4,267 individuals in each cohort. Individuals who had a prescription for GLP-1RA were less likely to develop GDM (15.2% versus 18.2%, OR 0.81 (95% CI 0.72,0.91)), HDP (19.9% versus 22.8%, OR 0.84 (0.76,0.94)), have a preterm delivery (3.0% vs 4.4%, OR 0.68 (0.54,0.85)), and undergo a CD (17.6% vs 19.7%, OR 0.89 (0.87,0.97)) compared to the unexposed cohort. A prescription of a GLP-1RA within 24 months preceding pregnancy is associated with a reduced risk of several adverse obstetric outcomes, including GDM, HDP, preterm delivery, and CD. This is suggestive that use of a GLP-1RA may be a powerful tool to improve perinatal outcomes in high-risk populations, though future work is required to define how this class of medication is best incorporated clinically into preconception health optimization.

The Dynamic Evolution and Knowledge Base of Agricultural Product Supply Chain Research: A Bibliometric Analysis Based on CNKI Literature

This study employs COOC bibliometric analysis, combined with a literature review, to systematically analyze the agricultural supply chain-related documents indexed in China National Knowledge Infrastructure (CNKI). The aim of the research is to reveal the developmental trajectory and current state of agricultural supply chain studies in China, as well as to identify research hotspots and the knowledge base, providing a reference for researchers in this field. The study finds that future research should enhance knowledge cooperation between universities and agricultural research institutions and expand the collaboration network with agricultural supply chain entities. It is recommended that research hotspots be accurately grasped based on national strategies, industry challenges, market demands, and the development status of the supply chain to facilitate the practical application of research outcomes.