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Background: The most impactful research on pediatric type 1 diabetes (T1D) remains unknown. Objective: We aimed to evaluate the characteristics and impact of the 100 most-cited articles on pediatric T1D. Materials and Methods: Using a predefined bibliometric strategy, the Scopus database was searched for high-cited papers (HCPs) published from 2001 to 2020. Articles were evaluated for data on the publication year, countries, authors, journals, topics, and types. Social network analysis was performed to visualize the interaction among countries, organizations, and authors using VOSviewer software. Results: The top 100 HCPs received 390 to 4634 citations, averaging 773.5 citations per paper (CPP). The funded HCPs (n = 50) had a higher impact (CPP 791.5). The majority of HCPs (n = 83) were collaborative. Classifying by research type, 65 studies were clinical (n = 65), risk factors (n = 27), epidemiology (n = 26), pathophysiology (n = 16), treatment outcome (n = 13), genetics (n = 12), complications (n = 3), quality of life (n = 2), and prognosis (n = 1). The number of authors involved was 1,101, affiliated with 545 organizations in 27 countries; the USA (n = 64) and the UK (n = 24) were the most productive countries, whereas Australia and the UK were the most impactful. D.M. Nathan and J.M. Lawrence were the most prolific authors, while P. Raskin and J.M. Lachin were the most impactful. Conclusions: High-income countries such as the USA, UK, and Australia contribute significantly to high-impact pediatric T1D research. Funding and collaboration improve the impact of citations in publications. Less researched areas such as treatment outcomes, genetics, complications, quality of life, and prognosis should be the focus of future research on pediatric T1D. [ABSTRACT FROM AUTHOR]

Background: Mild cognitive impairment (MCI) is commonly defined as a transitional subclinical state between normal aging and dementia. A growing body of research indicates that health behaviors may play a protective role against cognitive decline and could potentially slow down the progression from MCI to dementia. The aim of this study is to conduct a bibliometric analysis of literature focusing on health behaviors and MCI to summarize the factors and evidence regarding the influence of health behaviors on MCI. Methods: The study performed a bibliometric analysis by retrieving publications from the Science Citation Index and Social Sciences Citation Index subdatabases within the Web of Science Core Collection. Utilizing VOSviewer and CiteSpace software, a total of 2,843 eligible articles underwent co-citation, cokeywords, and clustering analyses. This methodology aimed to investigate the current status, trends, major research questions, and potential future directions within the research domain. Results: The bibliometric analysis indicates that research on healthy behaviors in individuals with MCI originated in 2002 and experienced rapid growth in 2014, reflecting the increasing global interest in this area. The United States emerged as the primary contributor, accounting for more than one-third of the total scientific output with 982 articles. Journals that published the most articles on MCI-related health behaviors included "Journal of Alzheimer's Disease," "Neurobiology of Aging," "Frontiers in Aging Neuroscience," and other geriatricsrelated journals. High-impact papers identified by VOSviewer predominantly cover concepts related to MCI, such as diagnostic criteria, assessment, and multifactorial interventions. Co-occurrence keyword analysis highlights five research hotspots in health behavior associated with MCI: exercise, diet, risk factors and preventive measures for dementia, cognitive decline-related biomarkers, and clinical trials. Conclusion: This study provides a comprehensive review of literature on health behavior in individuals with MCI, emphasizing influential documents and journals. It outlines research trends and key focal points, offering valuable insights for researchers to comprehend significant contributions and steer future studies. [ABSTRACT FROM AUTHOR]

Introduction. Applying computerized simulation education tool for learning in medical domains is widely used in many countries. This review is aimed at systematically investigating the computerized simulation tools developed to educate physiotherapy students and determine the effectiveness of these interventions. Methods. A comprehensive search was conducted in Medline (through PubMed) and Scopus databases from inception to Sept. 10, 2022. The studies that examined the effectiveness of computerized simulation-based interventions were included. Results. Sixteen studies were included in this systematic review. All included examinations were ranked "good" or "low risk of bias" based on the criteria utilized in the Joanna Briggs Institute (JBI) scale and the Effective Public Health Practice Project (EPHPP) tool. Most of the articles (43%) were conducted in the USA and 25% in Australia. In 43% of the total studies, the study population was only physiotherapy students, and in 12.5% of them, the scope of education was related to practical skills training. Three of the 16 reviewed articles presented positive qualitative results; thirteen quantitative investigations also declared statistically positive effects. Positive effects have been seen in areas such as improving professional and behavioral abilities, improving knowledge and self-confidence, and reducing stress. The sample size of the studies ranged from eight to 162 participants. The limited sample sizes in groups, lack of interaction, and short follow-up duration were the most consistent limitations evident within the included studies. Conclusion. Computerized simulation education approaches can help to improve physiotherapy students' skills and knowledge. They also have great potential to reduce learning costs and increase the quality of education. [ABSTRACT FROM AUTHOR]

Background: Social isolation and loneliness can occur in all age groups, and they are linked to increased mortality and poorer health outcomes. There is a growing body of research indicating inconsistent findings on the effectiveness of interventions aiming to alleviate social isolation and loneliness. Hence the need to facilitate the discoverability of research on these interventions. Objectives: To map available evidence on the effects of in‐person interventions aimed at mitigating social isolation and/or loneliness across all age groups and settings. Search Methods: The following databases were searched from inception up to 17 February 2022 with no language restrictions: Ovid MEDLINE, Embase, EBM Reviews—Cochrane Central Register of Controlled Trials, APA PsycInfo via Ovid, CINAHL via EBSCO, EBSCO (all databases except CINAHL), Global Index Medicus, ProQuest (all databases), ProQuest ERIC, Web of Science, Korean Citation Index, Russian Science Citation Index, and SciELO Citation Index via Clarivate, and Elsevier Scopus. Selection Criteria: Titles, abstracts, and full texts of potentially eligible articles identified were screened independently by two reviewers for inclusion following the outlined eligibility criteria. Data Collection and Analysis: We developed and pilot tested a data extraction code set in Eppi‐Reviewer. Data was individually extracted and coded. We used the AMSTAR2 tool to assess the quality of reviews. However, the quality of the primary studies was not assessed. Main Results: A total of 513 articles (421 primary studies and 92 systematic reviews) were included in this evidence and gap map which assessed the effectiveness of in‐person interventions to reduce social isolation and loneliness. Most (68%) of the reviews were classified as critically low quality, while less than 5% were classified as high or moderate quality. Most reviews looked at interpersonal delivery and community‐based delivery interventions, especially interventions for changing cognition led by a health professional and group activities, respectively. Loneliness, wellbeing, and depression/anxiety were the most assessed outcomes. Most research was conducted in high‐income countries, concentrated in the United States, United Kingdom, and Australia, with none from low‐income countries. Major gaps were identified in societal level and community‐based delivery interventions that address policies and community structures, respectively. Less than 5% of included reviews assessed process indicators or implementation outcomes. Similar patterns of evidence and gaps were found in primary studies. All age groups were represented but more reviews and primary studies focused on older adults (≥60 years, 63%) compared to young people (≤24 years, 34%). Two thirds described how at‐risk populations were identified and even fewer assessed differences in effect across equity factors for populations experiencing inequities. Authors' Conclusions: There is growing evidence that social isolation and loneliness are public health concerns. This evidence and gap map shows the available evidence, at the time of the search, on the effectiveness of in‐person interventions at reducing social isolation and loneliness across all ages and settings. Despite a large body of research, with much of it published in more recent years, it is unevenly distributed geographically and across types of interventions and outcomes. Most of the systematic reviews are of critically low quality, indicating the need for high quality reviews. This map can guide funders and researchers to consider the areas in which the evidence is lacking and to address these gaps as future research priorities. [ABSTRACT FROM AUTHOR]

This article presents global cancer statistics by world region for the year 2022 based on updated estimates from the International Agency for Research on Cancer (IARC). There were close to 20 million new cases of cancer in the year 2022 (including nonmelanoma skin cancers [NMSCs]) alongside 9.7 million deaths from cancer (including NMSC). The estimates suggest that approximately one in five men or women develop cancer in a lifetime, whereas around one in nine men and one in 12 women die from it. Lung cancer was the most frequently diagnosed cancer in 2022, responsible for almost 2.5 million new cases, or one in eight cancers worldwide (12.4% of all cancers globally), followed by cancers of the female breast (11.6%), colorectum (9.6%), prostate (7.3%), and stomach (4.9%). Lung cancer was also the leading cause of cancer death, with an estimated 1.8 million deaths (18.7%), followed by colorectal (9.3%), liver (7.8%), female breast (6.9%), and stomach (6.8%) cancers. Breast cancer and lung cancer were the most frequent cancers in women and men, respectively (both cases and deaths). Incidence rates (including NMSC) varied from four‐fold to five‐fold across world regions, from over 500 in Australia/New Zealand (507.9 per 100,000) to under 100 in Western Africa (97.1 per 100,000) among men, and from over 400 in Australia/New Zealand (410.5 per 100,000) to close to 100 in South‐Central Asia (103.3 per 100,000) among women. The authors examine the geographic variability across 20 world regions for the 10 leading cancer types, discussing recent trends, the underlying determinants, and the prospects for global cancer prevention and control. With demographics‐based predictions indicating that the number of new cases of cancer will reach 35 million by 2050, investments in prevention, including the targeting of key risk factors for cancer (including smoking, overweight and obesity, and infection), could avert millions of future cancer diagnoses and save many lives worldwide, bringing huge economic as well as societal dividends to countries over the forthcoming decades. [ABSTRACT FROM AUTHOR]

Objectives: To examine the association between metabolic syndrome (MetS) and frailty, and determine whether co-existent MetS and frailty affect disability-free survival (DFS), assessed through a composite of death, dementia or physical disability. Design: Longitudinal study. Setting and Participants: Community-dwelling older adults from Australia and the United States (n=18,264) from "ASPirin in Reducing Events in the Elderly" (ASPREE) study. Measurements: MetS was defined according to American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines (2018). A modified Fried phenotype and a deficit accumulation Frailty Index (FI) were used to assess frailty. Association between MetS and frailty was examined using multinomial logistic regression. Cox regression was used to analyze the association between MetS, frailty and DFS over a median follow-up of 4.7 years. Results: Among 18,264 participants, 49.9% met the criteria for MetS at baseline. Participants with Mets were more likely to be pre-frail [Relative Risk Ratio (RRR): 1.22; 95%Confidence Interval (CI): 1.14, 1.30)] or frail (RRR: 1.66; 95%CI: 1.32, 2.08) than those without MetS. MetS alone did not shorten DFS while pre-frailty or frailty alone did [Hazard Ratio (HR): 1.68; 95%CI: 1.45, 1.94; HR: 2.65; 95%CI:1.92, 3.66, respectively]. Co-existent MetS with pre-frailty/frailty did not change the risk of shortened DFS. Conclusions: MetS was associated with pre-frailty or frailty in community-dwelling older individuals. Pre-frailty or frailty increased the risk of reduced DFS but presence of MetS did not change this risk. Assessment of frailty may be more important than MetS in predicting survival free of dementia or physical disability. [ABSTRACT FROM AUTHOR]