Open Research Oklahoma (Oklahoma State Univ.)
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Knee injury interventional clinical trials: Examination of sports-related knee injury interventions from current clinical trials
No full textBackground: Every clinical trial has to be registered at ClinicalTrials.gov, which has enabled evaluations of current and discontinued clinical trials in all areas of expertise. Knee injuries are common in all levels of sport and it is becoming increasingly more important to prevent these at a younger age so they do not affect the person later in life. The purpose of this study was to create a summary of the knee injury interventional clinical trial portfolio.Methods: All interventional trials registered at ClinicalTrials.gov from October 2021 until now (January 2025) were included. Intervention type, enrollment population, trial phase, location, and injury type were described.Results: During this time there were 161 interventional knee injury trials active or completed. The most common intervention type was “Other” (24.2%) which included rehabilitation exercises and new diagnostic tests followed by procedures (23.0%). The majority of trials were adult only enrollment compared to only 3 that were pediatric enrollment only. An overwhelming majority did not provide a current phase, however of those that did, the most common was Phase IV. North America (42.1%) was home to the majority of clinical trials followed by Europe (27.0%) and Asia (20.1%). Over half of the clinical trials focused on ACL injuries (55.6%), with osteoarthritis (5.7%) and meniscus injuries (4.4%) as the next most common injury type.Conclusion: Analysis of the ClinicalTrials.gov data permits summarization of the current scope of interventional knee injury trials. This data can be useful to decide how to proceed regarding treatment and prevention of knee injuries. They can also provide insight to the advancement of interventional clinical trial set up and execution regarding knee injuries
Preparing your lawn for drought
No full textThe Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311
When is aid not a helping hand? Local corruption and foreign aid effectiveness in Sub-Saharan Africa
No full textIn many African countries, poor governance and corruption are cited as reasons foreign aid fails to produce growth. However, previous cross-national research on this topic has only compared national corruption measures, which overlooks that citizen exposure to corruption, foreign aid, and economic growth may vary widely within a country. This research uses local-level data on corruption, development, and foreign aid in four African countries from 1999 to 2014 to better capture how aid influxes interact with reported corruption levels to impact regional development patterns. Using the theoretical framework of foreign aid as a capital investment requiring fertile conditions to meet economic and development goals, it is theorized that local areas with higher levels of corruption receiving more foreign aid will have lower levels of economic development. Although no statistically significant findings have been obtained, the findings of this research provide a base for future research on the interaction of local-level corruption and foreign aid, which may provide policymakers with important insights on when and where foreign aid can be successful.Lew Wentz FoundationPolitical Scienc
Evaluating artificial intelligence guidelines in the leading family medicine journals: A cross-sectional study
No full textBackground: Artificial intelligence (AI) is reshaping family medicine research by improving data analysis, systematic reviews, and clinical applications. However, its use also raises concerns about transparency, ethical practices, and reproducibility. This study explores how leading family medicine journals address these challenges and opportunities through their author instructions and policies.Methods: A cross-sectional review was conducted on 47 peer-reviewed family medicine journals, ranked by the 2023 SCImago SJR indicator. Data was collected from each journal’s “Instructions for Authors” to assess AI-related policies, such as reporting guidelines, authorship rules, and the use of AI in preparing manuscripts or generating images. Correlations between AI policies and journal characteristics were also analyzed.Results: Out of the 47 journals, 44.7% mentioned AI use in their author instructions. Of these, 40.4% prohibited AI authorship, and 42.6% required authors to disclose AI involvement in submissions. While 21.3% allowed AI-generated content, only 17% permitted AI-generated images. Journals with higher impact factors were more likely to have detailed AI policies, though inconsistencies and gaps in guidance were evident.Conclusion: Many family medicine journals recognize AI’s role in research, but few have adopted specific reporting guidelines. This lack of standardization limits the transparency and ethical use of AI. Adopting clear and comprehensive guidelines is essential to support ethical, reproducible, and high-quality research in the age of AI
Health inequities and research gaps for bladder cancer in the United States: A scoping review
No full textIntroduction/Objectives: Bladder cancer is a significant health issue in the United States, with over 83,000 new cases and nearly 17,000 deaths annually. The survival rate varies widely, with a 5-year relative survival rate of 78%, dependent on factors like disease stage at diagnosis. Despite established risk factors, health inequities persist, disproportionately affecting marginalized populations. Although health inequities research has grown, healthcare access remains inequitable, with race, ethnicity, and socioeconomic status serving as key determinants of health outcomes. This scoping review seeks to examine gaps in health inequity research for bladder cancer.Methods: Following the Joanna Briggs Institute and PRISMA-ScR protocols, a scoping review of PubMed and Embase was conducted to identify gaps and trends in health inequities research for bladder cancer in the United States. Articles from 2016-2024 were included based on the NIH distinction of inequities which were race and ethnicity, sex or gender, LGBTQIA+ identity, underserved rural populations, education level, income, and occupation status. Screening and data abstraction were performed in a masked, double-blind fashion. Frequencies and historical trends of inequities examined were reported.Results: Our final sample included 90 articles. Overall, the number of articles studying health inequities increased each year. Race and ethnicity were the most commonly studied inequity (n=83; 92.2%), followed by sex and gender (n=74; 82.2%). The least commonly studied inequity was LGBTQIA+ identity, with zero.Conclusion: Health inequities for bladder due to race or ethnicity and sex or gender are well-studied within bladder cancer, while LGBTQIA+ status has yet to be examined. Further work is needed to promote research to fill this gap
Evaluating data sharing practices in high yield pulmonology journals
No full textObjective: To evaluate the current state of data sharing practices in pulmonology research, focusing on data sharing statements (DSS) and identifying barriers to accessing data.Background: Chronic lower respiratory diseases affect over 34 million Americans and are significant causes of mortality and economic burden. Despite this, pulmonology research receives minimal funding. Data sharing is crucial for improving transparency, reproducibility, and minimizing research waste.Methods: We searched Journal Citation Reports for top five pulmonology journals. Next, we selected original research articles using MEDLINE (PubMed) published between 2018 and 2023. In a masked duplicate manner, data was extracted on DSS presence, funding sources, study design, and publication year. Hierarchical logistic regression and thematic analysis were used to identify trends within DSS. Data was adjusted for nested data structures and sample sizes.Results: Our final sample included 1077 articles, with 487 including DSS. Of these, 403 DSS were thematically analyzed. DSS inclusion rates increased from 2018 (19/200; 9.50%) to 2023 (87/134; 64.93%). The Lancet Respiratory Medicine had the highest DSS rate (215/257; 83.66%), while Pulmonology had the lowest (3/33; 9.09%). Clinical trials (416/772; 53.89%) were more likely to include DSS than cohort studies (65/282; 23.05%). Common DSS themes found were “conditional data availability” and “gatekeeper role.”Conclusion: Data sharing practices in high-impact pulmonology journals are inconsistent, highlighting the need for standardized policies. Although DSS inclusion has improved, many studies still lack DSS, and the quality of DSS varies. Clearer mandates and enforcement are necessary to ensure effective data sharing and advancement in pulmonology research
Poison ivy, poison oak and similar plant identification for the home gardener
No full textThe Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311
Hybridization patterns and morphological variation in Quercus welshii
No full textHybridization is common among plant species with weak reproductive barriers and overlapping geographic ranges. It can increase genetic and phenotypic variation in plant species, which is especially important for endemic species with restricted distributions. Species of the genus Quercus, commonly known as oaks, are particularly prone to hybridization and are good examples of how a group of interbreeding species can maintain gene flow while remaining taxonomically distinct. Since hybrid individuals tend to display characteristics that are intermediate of their parent species, our study aims to investigate how the proportion of genetic purity affects the degree of expression of morphological traits. Using Bayesian clustering (STRUCTURE), we assessed genetic admixture in our focal species, Quercus welshii, with four sympatric species (Q. gambelii, Q. turbinella, Q. grisea, and Q. arizonica). We then examined the correlation between admixture proportion in Q. welshii populations and their geographic distance from the nearest population of a potential hybridizing species. Additionally, generalized linear models were used to investigate the relationship between proportion of admixture and leaf trait variation.
We found substantial hybridization between Q. welshii populations and other species in close proximity. Our analysis also supported the hypothesis that our populations would be more likely to hybridize as the geographic distance to other known hybridizing species decreased. Finally, our results indicated that admixture proportion in Q. welshii populations influences population mean leaf traits rather than their coefficient of variation. This study is the first step in better understanding how hybridization affects the genetic and morphological variation within populations, which is of special concern when creating conservation programs for species with limited distributions. However, whether these morphological changes confer an adaptive advantage is unclear and should be investigated further.Plant Biology, Ecology and Evolutio
Building equity: An architecture materials library project
No full textThis project transformed OSU’s Architecture Materials Library into a well-organized, digitally cataloged, and inclusive resource. By prioritizing companies owned by members of historically underrepresented communities, and using tools like Omeka S and barcoding, the team enhanced accessibility, supported equity in architecture, and created a model for inclusive material curation.falseLibrar
Districting to maximally preserve political subdivisions
No full textThis dissertation addresses one of the challenges in political districting: preserving the integrity of political subdivisions, particularly counties, while meeting legal requirements such as population balance and contiguity. We focus on two important measures of county preservation: the number of county splits and the number of whole counties. Using 2020 census data, we propose integer programming and combinatorial Benders decomposition techniques to find districting plans that optimize these measures. In addition, we explore the tradeoffs between the conflicting objectives of minimizing county splits and minimizing population deviation. Our results can provide important insight into the practice of redistricting