Change in injury pattern with mandatory, referred access compared to open access in an emergency department.

INTRODUCTION: This retrospective cohort study aimed to examine whether implementing mandatory referral changed the composition of patients visiting the Accident and Emergency (A and E) Department in relation to severity, demographics and activity at injury. METHODS: Patients visiting the A and E Department at Odense University Hospital, Denmark, in 2008-2019, were divided into three time periods: before (four years before any changes in the operation of the A and E), transition period (the four years during which mandatory referral and the centralised emergency medical service were implemented) and after (the four years after these changes had been implemented). The incidence rate ratios and odds were calculated. RESULTS: The absolute number of severe injuries declined, but to a lesser extent than the number of minor injuries. The incidence rate ratios throughout all subcategories, including severity, fracture, sex, age and activity at injury, indicate a smaller risk of visiting the A and E Department in the after period than in the before period, with a total lower (0.82 times; 95% confidence interval: 0.82-0.83 times) risk of visiting the A and E Department in the after period than in the before period. CONCLUSIONS: Changing from open to referred access altered the composition of injuries for patients seen in the A and E Department, indicating a smaller risk of a visit with referred access than with open access. The odds of a visit being due to a major injury increased after implementing referred access, and the number of visits decreased. FUNDING: The Nordentoft Fund TRIAL REGISTRATION. Not relevant.

Lactiplantibacillus (Lactobacillus) plantarum as a Complementary Treatment to Improve Symptomatology in Neurodegenerative Disease: A Systematic Review of Open Access Literature.

This systematic review addresses the use of Lactiplantibacillus (Lactobacillus) plantarum in the symptomatological intervention of neurodegenerative disease. The existence of gut microbiota dysbiosis has been associated with systemic inflammatory processes present in neurodegenerative disease, creating the opportunity for new treatment strategies. This involves modifying the strains that constitute the gut microbiota to enhance synaptic function through the gut-brain axis. Recent studies have evaluated the beneficial effects of the use of Lactiplantibacillus plantarum on motor and cognitive symptomatology, alone or in combination. This systematic review includes 20 research articles (n = 3 in human and n = 17 in animal models). The main result of this research was that the use of Lactiplantibacillus plantarum alone or in combination produced improvements in symptomatology related to neurodegenerative disease. However, one of the studies included reported negative effects after the administration of Lactiplantibacillus plantarum. This systematic review provides current and relevant information about the use of this probiotic in pathologies that present neurodegenerative processes such as Alzheimer's disease, Parkinson's disease and Multiple Sclerosis.

With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots.

Species-habitat associations are correlative, can be quantified, and used for powerful inference. Nowadays, Species Distribution Models (SDMs) play a big role, e.g. using Machine Learning and AI algorithms, but their best-available technical opportunities remain still not used for their potential e.g. in the policy sector. Here we present Super SDMs that invoke ML, OA Big Data, and the Cloud with a workflow for the best-possible inference for the 300 + global squirrel species. Such global Big Data models are especially important for the many marginalized squirrel species and the high number of endangered and data-deficient species in the world, specifically in tropical regions. While our work shows common issues with SDMs and the maxent algorithm ('Shallow Learning'), here we present a multi-species Big Data SDM template for subsequent ensemble models and generic progress to tackle global species hotspot and coldspot assessments for a more inclusive and holistic inference.

Implementation of a Novel Residency-Based Electrocardiogram Curriculum Based on Free Open Access Content.

BACKGROUND: Interpretation of the electrocardiogram (ECG) is fundamental in the practice and teaching of emergency medicine. Previous studies have shown that providers of all levels have expressed interest in additional education with ECGs. Asynchronous learning has been shown to be beneficial for improving residents' ability to recognize findings of acute myocardial ischemia. OBJECTIVES: The goal of the study was to know whether a new format based on free, online content would improve residents' ability to interpret ECGs. METHODS: In this 1-year educational pilot study at a single urban teaching hospital, resident physicians participated in a longitudinal curriculum based on free, online content, which was delivered to them electronically on a weekly basis. The study was conducted during the 2016-2017 academic year. Prior to and after the study period, their subjective attitudes toward ECG interpretation, and their objective ability to interpret them successfully, were assessed. RESULTS: Of 42 residents, 25 (59.5%) completed the pre- and post-ECG testing. During the study period, trainees demonstrated improvement in both their subjective attitude toward ECG interpretation and their objective ability to interpret various abnormalities. CONCLUSIONS: Despite some important limitations, we believe this study represents an essential step in the development of training methods for the modern emergency medicine trainee.

Genomic data in the All of Us Research Program.

Comprehensively mapping the genetic basis of human disease across diverse individuals is a long-standing goal for the field of human genetics1-4. The All of Us Research Program is a longitudinal cohort study aiming to enrol a diverse group of at least one million individuals across the USA to accelerate biomedical research and improve human health5,6. Here we describe the programme's genomics data release of 245,388 clinical-grade genome sequences. This resource is unique in its diversity as 77% of participants are from communities that are historically under-represented in biomedical research and 46% are individuals from under-represented racial and ethnic minorities. All of Us identified more than 1 billion genetic variants, including more than 275 million previously unreported genetic variants, more than 3.9 million of which had coding consequences. Leveraging linkage between genomic data and the longitudinal electronic health record, we evaluated 3,724 genetic variants associated with 117 diseases and found high replication rates across both participants of European ancestry and participants of African ancestry. Summary-level data are publicly available, and individual-level data can be accessed by researchers through the All of Us Researcher Workbench using a unique data passport model with a median time from initial researcher registration to data access of 29 hours. We anticipate that this diverse dataset will advance the promise of genomic medicine for all.

Publishing in the Open Access and Open Science era.

Our research activities would be better served if they were communicated in a manner that is openly accessible to the public and all researchers. The research we share is often limited to representative data included in research papers-science would be much more efficient if all reproducible research data were shared alongside detailed methods and protocols, in the paradigm called Open Science. On the other hand, one primary function of research journals is to select manuscripts of good quality, verify the authenticity of the data and its impact, and deliver to the appropriate audience for critical evaluation and verification. In the current paradigm, where publication in a subset of journals is intimately linked to research evaluation, a hypercompetitive "market" has emerged where authors compete to access a limited number of top-tier journals, leading to high rejection rates. Competition among publishers and scientific journals for market dominance resulted in an increase in both the number of journals and the cost of publishing and accessing scientific papers. Here we summarize the current problems and potential solutions from the development of AI technology discussed in the seminar at the 46th Annual Meeting of the Molecular Biology Society of Japan.

Citizens' Access to Online Health Information - An International Survey of IMIA Member Countries.

Citizens' access to their online health information is pivotal. Therefore, this study examines citizens' access to their online health information across countries and healthcare settings. The study is based on a survey design targeting the 98 IMIA representatives of the national societies. Results indicate that Test results and Medications are the two types of online information that citizens in most cases have access to. Ten countries provide citizens access to all the different types of information included in the study. That relatively few countries provide citizens access to all the included types of online health information underscores the importance of continuous emphasis on accessibility and research within this field.

Open Access Publication in Total Knee Arthroplasty Is Associated With Increased Social Media Attention, but Is Not Associated With Increased Citations.

BACKGROUND: Open access (OA) publication is growing in total joint arthroplasty literature. While OA manuscripts are free to view, these publications require a fee from authors. This study aimed to compare social media attention and citation rates between OA and non-OA publications in the total knee arthroplasty (TKA) literature. METHODS: There were 9,606 publications included, with 4,669 (48.61%) as OA articles. The TKA articles were identified from 2016 to 2022. Articles were grouped as OA or non-OA and Altmetric Attention Score (AAS), a weighted count of social media attention, and the Mendeley readership were analyzed using negative binomial regressions while adjusting for days since publication. RESULTS: The OA articles had greater mean AAS (13.45 versus 8.42, P = .012) and Mendeley readership (43.91 versus 36.72, P < .001). OA was not an independent predictor of number of citations when compared to non-OA articles (13.98 versus 13.63, P = .914). Subgroup analysis of studies in the top 10 arthroplasty journals showed OA was not an independent predictor of AAS (13.51 versus 9.53, P = .084) or number of citations (19.51 versus 18.74, P = .495) but was an independent predictor of Mendeley readership (49.05 versus 40.25, P < .003). CONCLUSION: The OA publications in the TKA literature were associated with increased social media attention, but not overall citations. This association was not observed among the top 10 journals. Authors may use these results to weigh the relative importance of readership, citations, and online engagement to the cost of OA publication.

A genomic mutational constraint map using variation in 76,156 human genomes.

The depletion of disruptive variation caused by purifying natural selection (constraint) has been widely used to investigate protein-coding genes underlying human disorders1-4, but attempts to assess constraint for non-protein-coding regions have proved more difficult. Here we aggregate, process and release a dataset of 76,156 human genomes from the Genome Aggregation Database (gnomAD)-the largest public open-access human genome allele frequency reference dataset-and use it to build a genomic constraint map for the whole genome (genomic non-coding constraint of haploinsufficient variation (Gnocchi)). We present a refined mutational model that incorporates local sequence context and regional genomic features to detect depletions of variation. As expected, the average constraint for protein-coding sequences is stronger than that for non-coding regions. Within the non-coding genome, constrained regions are enriched for known regulatory elements and variants that are implicated in complex human diseases and traits, facilitating the triangulation of biological annotation, disease association and natural selection to non-coding DNA analysis. More constrained regulatory elements tend to regulate more constrained protein-coding genes, which in turn suggests that non-coding constraint can aid the identification of constrained genes that are as yet unrecognized by current gene constraint metrics. We demonstrate that this genome-wide constraint map improves the identification and interpretation of functional human genetic variation.

Racial differences in knowledge, attitudes, and sources of information about germline cancer genetic testing in the U.S.A.: An analysis of the health information National Trends Survey System.

PURPOSE: To understand racial disparities in germline cancer genetic testing and the role of prior knowledge, attitudes, and sources of information. METHODS: A cross-sectional analysis of the Health Information National Trends Survey 5 (HINTS 5) was conducted between February 24th and June 15th, 2020. The study aimed to investigate knowledge and receipt of genetic testing, attitudes toward the importance of genetic testing in preventing, detecting, and treating cancer, and information sources of genetic testing in the United States of America. RESULTS: Non-Hispanic Black (NHB) and Hispanic race/ethnicity were associated with lower odds of being informed about genetic testing, whereas those of NHB race were more likely to endorse the importance of genetic testing in cancer prevention and treatment. Regarding sources of information about genetic testing: Non-Hispanic Asians were less likely to be informed about genetic testing from television (Mean Predicted Probability (MPP) 0.38 95%CI; 0.21-0.55, (Adjusted Risk Difference) ARD vs. Non-Hispanic White (NHW); -0.228, p = 0.01), NHB were less likely to report being informed about genetic testing from social media (MPP 0.27 95%CI; 0.20-0.34, ARD vs. NHW; -0.139, p < 0.01). CONCLUSIONS: NHB and Hispanic groups face unequal access to information about genetic testing. There are significant race-based differences in information sources. These differences could be used to promote equitable access to cancer genetic testing.

Maximizing Access and Minimizing Barriers to Research in Low- and Middle-Income Countries: Open Access and Health Equity.

Access to published research has always been difficult for researchers and clinicians in low- and middle-income countries, because of the cost of and lack of access to the relevant publications. The dramatic recent increase in electronic research publications has resulted in a marked improvement in reader access to these publications through their mainly Open Access policies, however the costs of processing of submissions and publication have now become the burden of the researchers wishing to publish, rather than the readers. For many researchers working in LMIC, the Article Processing Charges (APC) are prohibitive, hampering the publication of research being conducted in and relevant to these countries. A number of grant funding agencies and international not-for-profit organizations are trying to address these issues by including funding for article publications in their grants, or by supporting publishing entities by subsiding the cost of publication, but more needs to be done by major journal publishers through markedly reducing the APC being charged to researchers in LMIC for open access facilities.

MetalDock: An Open Access Docking Tool for Easy and Reproducible Docking of Metal Complexes.

Despite the proven potential of metal complexes as therapeutics, the lack of computational tools available for the high-throughput screening of their interactions with proteins is a limiting factor toward clinical developments. To address this challenge, we introduce MetalDock, an easy-to-use, open access docking software for docking metal complexes to proteins. Our tool integrates the AutoDock docking engine with three well-known quantum software packages to automate the docking of metal-organic complexes to proteins. We used a Monte Carlo sampling scheme to obtain the missing Lennard-Jones parameters for 12 metal atom types and demonstrated that these parameters generalize exceptionally well. Our results show that the poses obtained by MetalDock are highly accurate, as they predict the binding geometries experimentally determined by crystal structures with high spatial reproducibility. Three different case studies are presented that demonstrate the versatility of MetalDock for the docking of diverse metal-organic compounds to different biomacromolecules, including nucleic acids.

Toward an Interdisciplinary Approach to Constructing Care Delivery Pathways From Electronic Health Care Databases to Support Integrated Care in Chronic Conditions: Systematic Review of Quantification and Visualization Methods.

BACKGROUND: Electronic health care databases are increasingly used for informing clinical decision-making. In long-term care, linking and accessing information on health care delivered by different providers could improve coordination and health outcomes. Several methods for quantifying and visualizing this information into data-driven care delivery pathways (CDPs) have been proposed. To be integrated effectively and sustainably into routine care, these methods need to meet a range of prerequisites covering 3 broad domains: clinical, technological, and behavioral. Although advances have been made, development to date lacks a comprehensive interdisciplinary approach. As the field expands, it would benefit from developing common standards of development and reporting that integrate clinical, technological, and behavioral aspects. OBJECTIVE: We aimed to describe the content and development of long-term CDP quantification and visualization methods and to propose recommendations for future work. METHODS: We conducted a systematic review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. We searched peer-reviewed publications in English and reported the CDP methods by using the following data in the included studies: long-term care data and extracted data on clinical information and aims, technological development and characteristics, and user behaviors. The data are summarized in tables and presented narratively. RESULTS: Of the 2921 records identified, 14 studies were included, of which 13 (93%) were descriptive reports and 1 (7%) was a validation study. Clinical aims focused primarily on treatment decision-making (n=6, 43%) and care coordination (n=7, 50%). Technological development followed a similar process from scope definition to tool validation, with various levels of detail in reporting. User behaviors (n=3, 21%) referred to accessing CDPs, planning care, adjusting treatment, or supporting adherence. CONCLUSIONS: The use of electronic health care databases for quantifying and visualizing CDPs in long-term care is an emerging field. Detailed and standardized reporting of clinical and technological aspects is needed. Early consideration of how CDPs would be used, validated, and implemented in clinical practice would likely facilitate further development and adoption. TRIAL REGISTRATION: PROSPERO CRD42019140494; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=140494. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2019-033573.