Collaborative Research Network Research Articles

Comprehensive and Visualized Analysis of Interventional Clinical Trials of Spinal Cord Injury in the Past Two Decades: A Bibliometric Study

ObjectiveTo provide a bibliometric analysis of published articles of interventional SCI clinical trials and present the current status, global trends, and scholars’ knowledge in this field. MethodsData were obtained from the PubMed and Web of Science (WOS) Core Collection. A literature screening process was conducted to select articles of interventional SCI clinical trials. Qualitative and quantitative analysis was performed based on information from the WOS database. Co-occurrence analysis of keywords, collaboration analysis, and co-citation analysis were performed using VOSviewer. ResultsA total of 849 articles were selected for analysis. Therapeutic strategies in the articles were classified into ten subgroups. Locomotor training, local complication related treatments, and neuromodulation are the top three subgroups. Spinal Cord was the most productive and most frequently cited journal in SCI clinical trials. The most productive country, institution, and author are the United States of America, the University of Miami, and Harvey LA, respectively. The collaboration network analysis shows that researchers and institutions from the United States, Canada, the United Kingdom, and Australia were the pivotal driving forces in this field. Spinal cord injury, rehabilitation, individuals, electrical stimulation, and exercise are the top 5 most frequent keywords. The co-citation analysis shows that the most frequently cited references are all international standards and guidelines of SCI clinical trials. ConclusionsThere is a broad research collaboration network although it is distributed unevenly worldwide. International standards and guidelines are needed to conduct high quality clinical trials in the future.

Sex differences in the effectiveness of first-line tumour necrosis factor inhibitors in axial spondyloarthritis: results from the EuroSpA Research Collaboration Network

ObjectiveEvidence indicates reduced treatment effectiveness of TNFi in women with axial spondyloarthritis (axSpA) compared with men. We aimed to investigate sex differences in treatment response and retention rates over 24...

COVID mRNA Vaccination Responses in Individuals with Sickle Cell Disease: An ASH Research Collaborative Clinical Trial Network Study

A multi-state, long term follow-up study of individuals with sickle cell disease (SCD) demonstrated an increase in mortality and morbidity in children and adults with COVID. mRNA vaccines are recommended for all SCD patients. Vaccination in individuals with SCD for other infections may be associated with impaired antibody responses. Concern has also been raised about whether mRNA vaccines, through a unique mechanism, may induce disease-related-complications in patients with SCD resulting in a suboptimal immunization rate. The ASH Research Collaborative Clinical Trial Network (ASH RC CTN) performed a mRNA vaccine trial to assess whether antibody responses following COVID vaccination were adequate to induce immunity and whether mRNA vaccination precipitated any toxicity unique to SCD patients. We prospectively studied patients at 8 of the ASH RC CTN sites: Johns Hopkins, Prisma, Duke, UT Southwestern, Medical College of Wisconsin, UCSF, Children's National, and Montefiore. Eligible patients with SCD had not yet received the COVID vaccine. We enrolled 59 patients and 47 received at least one vaccination. All vaccinated patients received the monovalent Pfizer vaccine. Forty-two patients received two vaccinations and provided baseline blood samples prior to vaccination and 2 months after the initial vaccination. For this report, data for 41 paired samples were available for analysis of IgG reactivity against the receptor binding domain (RBD) of the SARS-CoV-2 spike protein. Samples were taken from 7 patients (17%) under 3 years of age, 17 (41%) from older children (3-17 years of age), and 17 (41%) from adults (18-53 years of age). The majority of patients had HbSS (73%) or HbSC (22%), and one of each had either HbS beta 0 (2%) or HbS beta+ (2%). Concurrent therapies included hydroxyurea (59%), voxelotor (17%), crizulizumab (2%), intravenous immunoglobulin (2%), and chronic transfusions (2%). Five had a history of splenectomy (12%). Seventy-five percent of patients received their initial vaccination within 10 days of the baseline visit, and the median time between initial vaccination and post vaccination blood draw was 62 days. One patient experienced a COVID infection 5 days after the baseline visit, but prior to vaccination. This individual later received two vaccinations and submitted blood samples for analysis. Post-vaccination fever/chills, arthralgias, emesis, or local vaccination pain/erythema were reported in 49% of the patients. None reported fever that required inpatient admission. Seven patients (17%) reported a total of 8 episodes of vaso-occlusive pain within 14 days of the 1st vaccination. Of these, three required evaluation and treatment at a medical facility, and one patient was admitted for inpatient care. Antibody responses are shown in the Figure. Fourteen patients (34%) were seronegative at baseline, all with IgG ≤ 0.48 arbitrary units (AU). Twenty-seven patients (66%) were seropositive at baseline with a median IgG = 4.59 AU. Post-vaccination demonstrated a median IgG = 32.2 AU for the initially seronegative patients, and IgG = 102 AU for those initially seropositive. All initially seronegative patients converted to seropositive post vaccination; although post-vaccination IgG levels were lower than in the patients who were initially seropositive (Wilcoxon rank sum test, p-value = 0.0062). Overall, patients with sickle cell disease had side effects similar to those in the general population, and patients with SCD also responded to the COVID mRNA vaccination as expected after 2 months. The 6-month titers will be analyzed in the early fall. To our knowledge, this is the largest mRNA vaccine efficacy and safety trial in individuals with SCD, and it also marks the first evaluation of vaccine safety and antibody response in very young children with SCD.

An overview of maritime psychology through bibliometric analysis: Present state and future prospects

This study conducts a comprehensive bibliometric analysis of the reflection in the academic literature on psychological problems such as stress, depression, fatigue, burnout, and hopelessness, which more than 1 million seafarers suffer from due to the unique challenges of maritime such as isolation, demanding work schedules, harsh conditions, and separation from loved ones. The bibliographic data is collected from both the Web of Science and Scopus databases, subsequently, a total of 318 determined studies were analyzed using Bibliometrix tool of R software, and Excel-based systematic content analysis. Through citation analysis metrics, we identify the most influential publications, journals, authors, and institutions in this domain. Utilizing bibliographic coupling methodology, we uncover four fundamental research clusters: Research Design, Spatial Design, Data Collection Tools, and Assessment Approaches. Furthermore, we present research collaboration networks at the levels of institutions, authors, and countries to illuminate prevailing trends in maritime psychology. This comprehensive bibliometric analysis offers a nuanced understanding of maritime psychology, revealing evolving trends, research methodologies, and critical thematic clusters. It underscores the growing significance of seafarers' mental health in academic research and the need for holistic interventions in the maritime industry.

Organizational factors affecting higher education collaboration networks: evidence from Europe

We explore the role of organizational factors in research collaboration networks among European universities. The study of organizational drivers in shaping collaboration patterns is crucial for policy design aimed at reducing research fragmentation and fostering knowledge creation and diffusion. By using Exponential Random Graph Models (ERGMs) and controlling for spatial factors, we investigate the role of two main mechanisms guiding the partners’ selection process: organizational attributes and homophily. We investigate two distinct scientific collaboration networks (i.e., projects and publications) and two research domains (Physical Sciences and Engineering, and Life Sciences) over the 2011–2016 time period. Our empirical evidence reveals that, among the main dimensions indicated by the literature, research capability (measured by the dimension of doctoral programs) has the clearest and most stable impact either on the tendency to establish collaboration ties or as homophily effect. In terms of policy implications, it emerges that organizational similarity in research capability matters and policy makers should consider doctoral programs as a strategic variable to promote successful collaborations in scientific research.

Commonalities and differences in set-up and data collection across European spondyloarthritis registries — results from the EuroSpA collaboration

BackgroundIn European axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA) clinical registries, we aimed to investigate commonalities and differences in (1) set-up, clinical data collection; (2) data availability and completeness; and (3) wording, recall period, and scale used for selected patient-reported outcome measures (PROMs).MethodsData was obtained as part of the EuroSpA Research Collaboration Network and consisted of (1) an online survey and follow-up interview, (2) upload of real-world data, and (3) selected PROMs included in the online survey.ResultsFifteen registries participated, contributing 33,948 patients (axSpA: 21,330 (63%), PsA: 12,618 (37%)). The reported coverage of eligible patients ranged from 0.5 to 100%. Information on age, sex, biological/targeted synthetic disease-modifying anti-rheumatic drug treatment, disease duration, and C-reactive protein was available in all registries with data completeness between 85% and 100%. All PROMs (Bath Ankylosing Spondylitis Disease Activity and Functional Indices, Health Assessment Questionnaire, and patient global, pain and fatigue assessments) were more complete after 2015 (68–86%) compared to prior (50–79%). Patient global, pain and fatigue assessments showed heterogeneity between registries in terms of wording, recall periods, and scale.ConclusionImportant heterogeneity in registry design and data collection across fifteen European axSpA and PsA registries was observed. Several core measures were widely available, and an increase in data completeness of PROMs in recent years was identified. This study might serve as a basis for examining how differences in data collection across registries may impact the results of collaborative research in the future.

Research Status and Trends in Retirement Communities: A bibliometric Analysis

In the context of global aging, the study of retirement communities has attracted the attention of scholars. However, there needs to be more systematic bibliometric studies. This study aims to sort out the current research status of the retirement community and explore research trends. This study adopts a bibliometric approach, using the Web of Science Core Collection (WoSCC) as a database, VOSviewer to analyze research collaboration networks, and CiteSpace to analyze keyword co-occurrences. The study’s conclusion showed that the significant scholars are Ayalon, Resnick, Bennett, Royall, Courtin, and Knapp. The major journals are the Journal of the American Geriatrics Society, Gerontologist, and Journal of Applied Gerontology.The main research areas are Geriatrics Gerontology, Public Environmental Occupational Health, and Nursing. The primary research countries are the United States, Canada, and China, with the United States leading the way. The study found that the author’s research collaboration network was more active, with Bolling as the bridge author. Institutional collaboration networks were also active, with the University of Washington’s research collaboration network being the most prominent. The research collaboration networks between countries (regions) needed to be more expensive. There are three possible research trends in retirement community research: (1). naturally occurring retirement community (NORC); (2). aging in place; (3). continuing care retirement community (CCRC); (4). physical activity.

Mortality risks associated with floods in 761 communities worldwide: time series study

ObjectiveTo evaluate lag-response associations and effect modifications of exposure to floods with risks of all cause, cardiovascular, and respiratory mortality on a global scale.DesignTime series study.Setting761 communities in 35 countries...

Placental Lesions Associated With Stillbirth by Gestational Age, as Related to Cause of Death: Follow-Up Results From the Stillbirth Collaborative Research Network.

We previously identified placental lesions associated with stillbirths of varying gestational ages (GA) using advanced feature analysis. We further investigated the relationships between placental lesions and cause of death in stillbirths within these GA ranges. Using data from the Stillbirth Collaborative Research Network, we derived a sample of stillbirths who underwent placental examination and Initial Causes of Fetal Death (INCODE) evaluation for determining cause of death. We then compared the rates of causes of death within and among GA ranges (extreme preterm stillbirth [PTSB] [<28 weeks], early PTSB [28-336/7 weeks], late PTSB [34-366/7 weeks], term stillbirth [≥37 weeks]) according to the presence of these lesions. We evaluated 352 stillbirths. In extreme PTSB, obstetric complications and infections were associated with acute funisitis. In early PTSB, uteroplacental insufficiency was associated with parenchymal infarcts. In term stillbirth (vs early PTSB), increased syncytial knots were associated with umbilical cord causes and infection. Placental lesions of high importance in distinguishing stillbirths at different GAs are associated with specific causes of death. This information is important in relating the presence of placental lesions and fetal death and in helping to understand etiologies of stillbirths at different GAs.

Bibliometric Analysis of Food Fraud

Food fraud threatens consumer health, food integrity, and global food supply systems, making it a global issue. Recently, bibliometric analysis has become a useful method for appraising studies in food science and fraud detection. This systematic review employs bibliometric tools to examine food fraud research trends, notable authors, and significant research issues. This investigation searches different scientific databases for relevant 1931–2023 papers. VOSviewer was used to show co-author networks, keyword co-occurrence, pattern quotations, and other bibliometric indicators. The bibliometric study shows a decade-long growth in food fraud studies. This food fraud detection bibliometric study covers the research landscape. These studies help food fraud researchers, policymakers, and other stakeholders discover research trends, prominent authors, significant work, and collaborative networks. These findings can inform future research, information exchange, and evidence-based food safety and consumer protection decisions.

Electronic health records identify timely trends in childhood mental health conditions

BackgroundElectronic health records (EHRs) data provide an opportunity to collect patient information rapidly, efficiently and at scale. National collaborative research networks, such as PEDSnet, aggregate EHRs data across institutions, enabling rapid identification of pediatric disease cohorts and generating new knowledge for medical conditions. To date, aggregation of EHR data has had limited applications in advancing our understanding of mental health (MH) conditions, in part due to the limited research in clinical informatics, necessary for the translation of EHR data to child mental health research.MethodsIn this cohort study, a comprehensive EHR-based typology was developed by an interdisciplinary team, with expertise in informatics and child and adolescent psychiatry, to query aggregated, standardized EHR data for the full spectrum of MH conditions (disorders/symptoms and exposure to adverse childhood experiences (ACEs), across 13 years (2010–2023), from 9 PEDSnet centers. Patients with and without MH disorders/symptoms (without ACEs), were compared by age, gender, race/ethnicity, insurance, and chronic physical conditions. Patients with ACEs alone were compared with those that also had MH disorders/symptoms. Prevalence estimates for patients with 1+ disorder/symptoms and for specific disorders/symptoms and exposure to ACEs were calculated, as well as risk for developing MH disorder/symptoms.ResultsThe EHR study data set included 7,852,081 patients < 21 years of age, of which 52.1% were male. Of this group, 1,552,726 (19.8%), without exposure to ACEs, had a lifetime MH disorders/symptoms, 56.5% being male. Annual prevalence estimates of MH disorders/symptoms (without exposure to ACEs) rose from 10.6% to 2010 to 15.1% in 2023, a 44% relative increase, peaking to 15.4% in 2019, prior to the Covid-19 pandemic. MH categories with the largest increases between 2010 and 2023 were exposure to ACEs (1.7, 95% CI 1.6–1.8), anxiety disorders (2.8, 95% CI 2.8–2.9), eating/feeding disorders (2.1, 95% CI 2.1–2.2), gender dysphoria/sexual dysfunction (43.6, 95% CI 35.8–53.0), and intentional self-harm/suicidality (3.3, 95% CI 3.2–3.5). White youths had the highest rates in most categories, except for disruptive behavior disorders, elimination disorders, psychotic disorders, and standalone symptoms which Black youths had higher rates. Median age of detection was 8.1 years (IQR 3.5–13.5) with all standalone symptoms recorded earlier than the corresponding MH disorder categories.ConclusionsThese results support EHRs’ capability in capturing the full spectrum of MH disorders/symptoms and exposure to ACEs, identifying the proportion of patients and groups at risk, and detecting trends throughout a 13-year period that included the Covid-19 pandemic. Standardized EHR data, which capture MH conditions is critical for health systems to examine past and current trends for future surveillance. Our publicly available EHR-mental health typology codes can be used in other studies to further advance research in this area.

Digital Technologies for Sustainable Tourism Destinations: State of the Art and Research Agenda

This study explores the adoption of digital technology in sustainable tourism destinations and provides insights into current research. Using a bibliometric analysis approach, it comprehensively evaluates research outputs, identifies trends, and highlights key themes and collaborative networks. Employing a bibliometric analysis approach, this study utilizes the Scopus database and bibliometric software. After rigorous data cleaning, bibliographic coupling maps, collaboration networks, and keyword maps are generated using Biblioshiny and VOSviewer for comprehensive analysis. Analyzing 559 papers, the study reveals a consistent growth in publications, indicating increasing research interest in digital technology adoption in sustainable tourism destinations. Europe, Asia, and North America are the primary regions of research activity. Interdisciplinary collaboration is high, emphasizing the multidimensional nature of the field. While valuable, the bibliometric analysis is limited by data availability and quality in the Scopus database. Relevant research outputs may be excluded. The study focuses on overall trends and patterns rather than individual paper content. The study’s findings have practical implications for researchers, policymakers, and practitioners in sustainable tourism. The identification of key themes and collaborative networks can guide future research and foster interdisciplinary collaborations. This study contributes to the existing literature on technological innovations in sustainable tourism destinations through its bibliometric analysis approach. Through providing an overview of the research landscape, identifying trends and collaborative networks, it offers valuable insights into the current state of research. The findings serve as a foundation for further exploration and advancement in sustainable tourism and digital technology.

Assessing Intrauterine Retention according to Microscopic Stillbirth Features: A Cluster Analysis Approach

Background: Previous studies identified microscopic changes associated with intrauterine retention of stillbirths based on clinical time of death. The objective of this study was to utilize unsupervised machine learning (not reliant on subjective measures) to identify features associated with time from death to delivery. Methods: Data were derived from the Stillbirth Collaborative Research Network. Features were chosen a priori for entry into hierarchical cluster analysis, including fetal and placental changes. Results: A four-cluster solution (coefficient = 0.983) correlated with relative time periods of “no retention,” “mild retention,” “moderate retention,” and “severe retention.” Loss of nuclear basophilia within fetal organs were found at varying rates among these clusters. Conclusions: Hierarchical cluster analysis is able to classify stillbirths based on histopathological changes, roughly correlating to length of intrauterine retention. Such clusters, which rely solely on objective fetal and placental findings, can help clinicians more accurately assess the interval from death to delivery.

Proceedings of the Collaborative Research Network Meeting at the GRAPPA 2022 Annual Meeting.

At the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2022 annual meeting, the Collaborative Research Network (CRN) met to present updates on several projects. These included the GRAPPA-Industry biomarker projects, Axial Psoriatic Arthritis Molecular and Clinical Characterisation Study, Axial Involvement in Psoriatic Arthritis Cohort (AXIS) study, and the Health Initiatives in Psoriasis and Psoriatic Arthritis Consortium European States (HIPPOCRATES). The meeting concluded with a discussion on pathways to further academia-industry collaboration.

Macroscopic lesions of maternal and fetal vascular malperfusion in stillborn placentas: Diagnosis in the absence of microscopic histopathological examination

IntroductionLesions of maternal vascular malperfusion (MVM) and fetal vascular malperfusion (FVM) are common in placentas associated with both stillbirth and live birth. The objective of this study was to identify lesions present more commonly in stillborn placentas and those most indicative of MVM and FVM without microscopic pathologic evaluation. MethodsData were derived from the Stillbirth Collaborative Research Network. Lesions were identified according to standard protocols published previously and categorized as either MVM or FVM according to the Amsterdam Placental Workshop Group Consensus Statement and macroscopic “umbilical cord at risk” findings. Multivariate logistic regression was used to determine the odds of stillbirth with macroscopic findings of MVM or FVM. Results595 stillbirths and 1,305 live births were analyzed. FVM lesions (85.2%) were marginally more common (though not statistically different) in stillbirths compared to MVM lesions (81.3%). Macroscopic findings of both MVM and FVM were more common in stillbirths versus livebirths (p < 0.001). Odds ratios of macroscopic MVM and FVM lesions for stillbirth, adjusted for gestational age at delivery, maternal race (minority), ethnicity (Hispanic), age, and history of hypertension or diabetes, were 1.48 (95% CI 1.30–1.69) and 1.34 (95% CI 1.18–1.53), respectively. DiscussionMacroscopic features of MVM and FVM are associated with higher odds of stillbirth versus live birth even when controlled for gestational age and maternal factors, which may be a useful clue in determining the pathophysiology of these events. This information is also useful for pathologists when microscopic examination is not available.

The effect of social media and infodemic on mental health during the COVID-19 pandemic: results from the COMET multicentric trial.

On January 30, 2020, the World Health Organization (WHO) declared the status of pandemic due to the COVID-19 infection. The initial phases of the pandemic were characterized by uncertainty and public fears. In order to cope with such unexpected conditions, people adopted different coping strategies, including search for information, accessing Internet, and using social media. The present study based on the COMET collaborative research network aims to: (1) assess use of Internet and of social media among the Italian general population; (2) explore differences in web usage between people with pre-existing mental disorders and the general population; (3) identify changes over time in social media usage along the phase 1 of the pandemic; (4) identify the clinical, socio-demographic and contextual predictors of excessive use of social media. A significant increase in time spent on Internet, with an average time of 4.8 ± 0.02 h per day, was found in the global sample of 20,720 participants. Compared with the general population, Internet use was significantly higher in people with pre-existing mental disorders (5.2 ± 0.1 h vs. 4.9 ± 0.02; p < 0.005). According to the multivariate logistic regression model, the risk of excessive use of social media and Internet was significantly higher in people with moderate levels of depressive symptoms (OR: 1.26, CI 95%: 0.99 to 1.59, p < 0.0.005); while protective factors were being students (OR: 0.72, CI 95%: 0.53 to 0.96, p < 0.0029) and living in central Italy (OR: 0.46, CI 95%: 0.23 to 0.90, p < 0.002). The evaluation of social media and Internet use by the general population represents a first step for developing specific protective and supportive interventions for the general population, including practical suggestions on how to safely use Internet and social media.

Urban governance: A review of intellectual structure and topic evolution

As the world becomes increasingly urbanized, urban governance has attracted more academic attention. There have been some review articles on the state of urban governance research, as they are in the form of selected themes by the authors, it is difficult to gain a systematic understanding of the field.This review article conducts bibliometrics and domain knowledge map analysis of 1280 papers on urban governance. It produces a comprehensive picture of the intellectual structure, the evolution and trends of the research topics on urban governance. The findings show scholars from three disciplines covering three subfields of urban governance: urbanity, publicity and technology. USA, UK and mainland China are the main contributors to urban governance research. University College London, Shanghai Jiao Tong University, University of Amsterdam, and the University of Sheffield are key players in international collaboration. However, the international research collaboration network is rather weak. There are nine highly researched topics: citizenship, urban monitoring and evaluation, global south development and challenges, urban mobility and sustainable development, institutional concept and challenge, technological change and governance transformation, metropolitan governance and innovation, urban politics and intergovernmental relations, and urban governance in China. Based on highlighted words in the research themes, urban governance research gradually moves from the connotation and theoretical basis to the subject and practice model of urban governance, and then to the influencing factors and evaluation of urban governance as well as the innovation and challenges of urban governance.

Dispatch of Volunteer Responders to Out-of-Hospital Cardiac Arrests

BackgroundSystems for dispatch of volunteer responders to collect automated external defibrillators and/or to provide cardiopulmonary resuscitation (CPR) in cases of nearby out-of-hospital cardiac arrest (OHCA) are widely implemented. ObjectivesThis study aimed to investigate whether the activation of a volunteer responder system to OHCAs was associated with higher rates of bystander CPR, bystander defibrillation, and 30-day survival vs no system activation. MethodsThis was a retrospective observational analysis within the ESCAPE-NET (European Sudden Cardiac Arrest network: Towards Prevention, Education, New Effective Treatment) collaborative research network. Included were cases of OHCA between 2015 and 2019 from 5 European sites with volunteer responder systems. At all sites, systems were activated by dispatchers at the emergency medical communication center in response to suspected OHCA. Exposed cases (system activation) were compared with nonexposed cases (no system activation). Risk ratios (RRs) were calculated for the outcomes of bystander CPR, bystander defibrillation, and 30-day survival after inverse probability treatment weighting. Missing data were handled using multiple imputation. ResultsIn total, 9,553 cases were included. In 4,696 cases, the volunteer responder system was activated, and in 4,857 it was not. The pooled RRs were 1.30 (95% CI: 1.15–1.47) for bystander CPR, 1.89 (95% CI: 1.36–2.63) for bystander defibrillation, and 1.22 (95% CI: 1.07–1.39) for 30-day survival. ConclusionsActivation of a volunteer response system in cases of OHCA was associated with a higher chance of bystander CPR, bystander defibrillation, and 30-day survival vs no system activation. A randomized controlled trial is necessary to determine fully the causal effect of volunteer responder systems.

Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis.

Artificial intelligence (AI) can improve the health and well-being of older adults and has the potential to assist and improve nursing care. In recent years, research in this area has been increasing. Therefore, it is necessary to understand the status of development and main research hotspots and identify the main contributors and their relationships in the application of AI in geriatric care via bibliometric analysis. Using bibliometric analysis, this study aims to examine the current research hotspots and collaborative networks in the application of AI in geriatric care over the past 23 years. The Web of Science Core Collection database was used as a source. All publications from inception to August 2022 were downloaded. The external characteristics of the publications were summarized through HistCite and the Web of Science. Keywords and collaborative networks were analyzed using VOSviewers and Citespace. We obtained a total of 230 publications. The works originated in 499 institutions in 39 countries, were published in 124 journals, and were written by 1216 authors. Publications increased sharply from 2014 to 2022, accounting for 90.87% (209/230) of all publications. The United States and the International Journal of Social Robotics had the highest number of publications on this topic. The 1216 authors were divided into 5 main clusters. Among the 230 publications, 4 clusters were modeled, including Alzheimer disease, aged care, acceptance, and the surveillance and treatment of diseases. Machine learning, deep learning, and rehabilitation had also become recent research hotspots. Research on the application of AI in geriatric care has developed rapidly. The development of research and cooperation among countries/regions and institutions are limited. In the future, strengthening the cooperation and communication between different countries/regions and institutions may further drive this field's development. This study provides researchers with the information necessary to understand the current state, collaborative networks, and main research hotspots of the field. In addition, our results suggest a series of recommendations for future research.

123-LB: Implementing a Multidisciplinary Model of CGM Care in Real-World Pharmacy Practice—A Clinical Consensus for Canadian Pharmacists

Background: Continuous glucose monitoring (CGM) devices have transformed diabetes care, but there is a lack of guidance for pharmacists to follow when onboarding patients to begin using CGM systems. Our study aimed to develop a blueprint for best practices for pharmacists to support people living with diabetes (PWD) using CGM systems. Methods: We used a modified DELPHI process to gather insights from 11 Key Opinion Leaders (KOLs) across Canada, including two endocrinologists, one family physician, and eight pharmacists. Consensus was reached for each criterion when 75% agreement was achieved. Criteria for CGM device initiation, short-term or episodic CGM use, and best practices for CGM onboarding and monitoring were developed based on the results. Results: Amongst the ideal candidates for CGM use are PWD using insulin, those with type 1 diabetes, individuals not reaching their A1C target, those experiencing frequent hypoglycemia, pregnant individuals, and others at risk of hypoglycemia. Best practices for onboarding and monitoring included shared decision-making conversations, a comprehensive overview of cost and coverage options, customized alerts and alarms, and timely follow-up sessions. Discussion: The KOL group ensured a comprehensive and diverse perspective. The developed blueprint provides a valuable resource for pharmacists to improve the use of CGM devices and enhance diabetes management for their patients. Incorporating these best practices into clinical practice has the potential to transform diabetes care and improve outcomes. Disclosure A. S. Sihota: Consultant; Novo Nordisk Canada Inc., Other Relationship; Becton, Dickinson and Company. S. Sivapalan: Advisory Panel; Novo Nordisk, Pfizer Inc., AstraZeneca, Consultant; Pear Healthcare Solutions Inc., Other Relationship; Boehringer Ingelheim (Canada) Ltd., GlaxoSmithKline plc., Novo Nordisk, Bristol-Myers Squibb Company, Pfizer Inc., AbbVie Inc., Ferring Pharmaceuticals, AstraZeneca. T. Smith: Advisory Panel; Novo Nordisk Canada Inc., Dexcom, Inc., Emergent Biosolutions. I. Halperin: Advisory Panel; Sanofi, Speaker's Bureau; 3Boehringer Ingelheim Canada Ltd. /Ltée, Abbott Diabetes, Dexcom, Inc., Novo Nordisk. A. B. Jain: Advisory Panel; Abbott, Amgen Canada, Dexcom, Inc., AstraZeneca, Novo Nordisk, Bayer Inc., Insulet Corporation, Takeda Canada, Boehringer Ingelheim (Canada) Ltd., Eli Lilly and Company, Research Support; Abbott, Amgen Canada, Novo Nordisk, Speaker's Bureau; Abbott, Amgen Canada, Dexcom, Inc., AstraZeneca, Novo Nordisk, Bausch Health, Canada, Boehringer Ingelheim (Canada) Ltd., Eli Lilly and Company, Pfizer Inc. A. Chin: Other Relationship; Abbott Diabetes, BMO Bank of Montreal, Diabetes Canada, Dexcom, Inc., Roche Diabetes Care, Tandem Diabetes Care, Inc., Research Support; Novavax, Centricity Research. W. Chow: Advisory Panel; GlaxoSmithKline plc., Pfizer Inc., Speaker's Bureau; Abbott Diagnostics, AstraZeneca, Bayer Inc., Bausch Health, Canada, Boehringer Ingelheim (Canada) Ltd., Eisai Inc., Novo Nordisk. S. Jin: Advisory Panel; Dexcom, Inc., Eisai Inc., Novo Nordisk Canada Inc., Board Member; Wounds Canada, Consultant; Abbott Diabetes, Boehringer Ingelheim Pharmaceuticals Inc., Canadian Collaborative Research Network, Diabetes Canada, GlaxoSmithKline plc., HLS Therapeutics Inc., MDBriefcase, Novo Nordisk Canada Inc., AstraZeneca, Speaker's Bureau; Eisai Inc., Dexcom, Inc., Novo Nordisk Canada Inc. T. Molberg: None. S. Patil: None. R. Siemens: Consultant; Canadian Collaborative Research Network, Novartis Canada, AstraZeneca, Montmed, Sanofi, MDBriefcase, Other Relationship; Abbott Diabetes, Amgen Canada, Boehringer Ingelheim and Eli Lilly Alliance, GlaxoSmithKline plc., HLS Therapeutics, Novo Nordisk, Dexcom Canada, Diabetes Canada. Funding Dexcom Canada