Institution
University of Vermont
Education•Burlington, Vermont, United States•
About: University of Vermont is a education organization based out in Burlington, Vermont, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 17592 authors who have published 38251 publications receiving 1609874 citations. The organization is also known as: UVM & University of Vermont and State Agricultural College.
Topics: Population, Poison control, Breast cancer, Myosin, Anxiety
Papers published on a yearly basis
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Harvard University1, University of Michigan2, Icahn School of Medicine at Mount Sinai3, Yeshiva University4, Seton Hall University5, Rutgers University6, University of Pennsylvania7, Cornell University8, Rush University Medical Center9, Anschutz Medical Campus10, Northwestern University11, Medical College of Wisconsin12, Rowan University13, Tufts University14, Thomas Jefferson University15, University of Queensland16, Ochsner Health System17, Johns Hopkins University18, New York University19, Indiana University – Purdue University Indianapolis20, ProMedica21, University of Vermont22, University of Miami23, Vanderbilt University24
TL;DR: Among critically ill patients with COVID-19 in this cohort study, the risk of in-hospital mortality in this study was lower in patients treated with tocilizumab in the first 2 days of ICU admission compared with patients whose treatment did not include early use of tocilzumab, and the findings may be susceptible to unmeasured confounding.
Abstract: Importance Therapies that improve survival in critically ill patients with coronavirus disease 2019 (COVID-19) are needed. Tocilizumab, a monoclonal antibody against the interleukin 6 receptor, may counteract the inflammatory cytokine release syndrome in patients with severe COVID-19 illness. Objective To test whether tocilizumab decreases mortality in this population. Design, setting, and participants The data for this study were derived from a multicenter cohort study of 4485 adults with COVID-19 admitted to participating intensive care units (ICUs) at 68 hospitals across the US from March 4 to May 10, 2020. Critically ill adults with COVID-19 were categorized according to whether they received or did not receive tocilizumab in the first 2 days of admission to the ICU. Data were collected retrospectively until June 12, 2020. A Cox regression model with inverse probability weighting was used to adjust for confounding. Exposures Treatment with tocilizumab in the first 2 days of ICU admission. Main outcomes and measures Time to death, compared via hazard ratios (HRs), and 30-day mortality, compared via risk differences. Results Among the 3924 patients included in the analysis (2464 male [62.8%]; median age, 62 [interquartile range {IQR}, 52-71] years), 433 (11.0%) received tocilizumab in the first 2 days of ICU admission. Patients treated with tocilizumab were younger (median age, 58 [IQR, 48-65] vs 63 [IQR, 52-72] years) and had a higher prevalence of hypoxemia on ICU admission (205 of 433 [47.3%] vs 1322 of 3491 [37.9%] with mechanical ventilation and a ratio of partial pressure of arterial oxygen to fraction of inspired oxygen of Conclusions and relevance Among critically ill patients with COVID-19 in this cohort study, the risk of in-hospital mortality in this study was lower in patients treated with tocilizumab in the first 2 days of ICU admission compared with patients whose treatment did not include early use of tocilizumab. However, the findings may be susceptible to unmeasured confounding, and further research from randomized clinical trials is needed.
359 citations
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TL;DR: There is some agreement among authors with regard to the risk factors for ankle-ligament injury; however, considerable controversy remains and future research is needed to develop a consensus on all ankle-injury risk factors.
Abstract: OBJECTIVE: To review the prospective studies of ankle-ligament-injury risk factors. DATA SOURCES: We searched MEDLINE from 1978 to 2001 using the terms ankle, ligament, injury, risk factor, and epidemiology. DATA SYNTHESIS: The results included many studies on the treatment and prevention of ankle injuries. There were, however, very few prospective studies focusing on identifying the risk factors that predispose an athlete to ankle-ligament trauma. CONCLUSIONS/RECOMMENDATIONS: There is some agreement among authors with regard to the risk factors for ankle-ligament injury; however, considerable controversy remains. Although female athletes are at significantly greater risk of suffering a serious knee sprain, such as disruption of the anterior cruciate ligament, this does not appear to be the case for ankle-ligament sprains. Therefore, sex does not appear to be a risk factor for suffering an ankle-ligament sprain. Athletes who have suffered a previous sprain have a decreased risk of reinjury if a brace is worn, and the consensus is that generalized joint laxity and anatomical foot type are not risk factors for ankle sprains. However, the literature is divided with regard to whether or not height, weight, limb dominance, ankle-joint laxity, anatomical alignment, muscle strength, muscle-reaction time, and postural sway are risk factors for ankle sprains. Future research is needed on this topic to develop a consensus on all ankle-injury risk factors. This will allow future intervention studies to be designed that will reduce the incidence and severity of this common injury.
359 citations
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University of California, Davis1, United States Department of Agriculture2, Yale University3, King's College London4, Indiana University5, University of Vermont6, University of Missouri7, University of Maryland, Baltimore County8, Johns Hopkins University9, University of Massachusetts Amherst10, Arcadis NV11
TL;DR: The results from the Baltimore Ecosystem Study, part of the Long Term Ecological Research Network, expose new assumptions and test existing assumptions about urban ecosystems and suggest a broader range of structural and functional relationships than is often assumed for urban ecological systems.
Abstract: The emerging discipline of urban ecology is shifting focus from ecological processes embedded within cities to integrative studies of large urban areas as biophysical-social complexes. Yet this discipline lacks a theory. Results from the Baltimore Ecosystem Study, part of the Long Term Ecological Research Network, expose new assumptions and test existing assumptions about urban ecosystems. The findings suggest a broader range of structural and functional relationships than is often assumed for urban ecological systems. We address the relationships between social status and awareness of environmental problems, and between race and environmental hazard. We present patterns of species diversity, riparian function, and stream nitrate loading. In addition, we probe the suitability of land-use models, the diversity of soils, and the potential for urban carbon sequestration. Finally, we illustrate lags between social patterns and vegetation, the biogeochemistry of lawns, ecosystem nutrient retention, and social-biophysical feedbacks. These results suggest a framework for a theory of urban ecosystems.
358 citations
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TL;DR: In older men and women, elevated CRP was associated with increased 10-year risk of CHD, regardless of the presence or absence of cardiac risk factors.
Abstract: Background— High C-reactive protein (CRP) is associated with increased coronary heart disease risk. Few long-term data in the elderly are available. Methods and Results— Baseline CRP was measured in 3971 men and women ≥65 years of age without prior vascular diseases; 26% had elevated concentrations (>3 mg/L). With 10 years of follow-up, 547 participants developed coronary heart disease (CHD; defined as myocardial infarction or coronary death). With elevated CRP, the 10-year cumulative CHD incidences were 33% in men and 17% in women. The age-, ethnicity-, and sex-adjusted relative risk of CHD for CRP >3 mg/L compared with <1 mg/L was 1.82 (95% CI, 1.46 to 2.28). Adjusting for conventional risk factors reduced the relative risk to 1.45 (95% CI, 1.14 to 1.86). The population-attributable risk of CHD for elevated CRP was 11%. Risk relationships did not differ in subgroups defined by baseline risk factors. We assessed whether CRP improved prediction by the Framingham Risk Score. Among men with a 10-year Framin...
358 citations
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University of Vermont1, University College Dublin2, French Institute of Health and Medical Research3, Heidelberg University4, King's College London5, Trinity College, Dublin6, Stanford University7, Université de Montréal8, IBM9, Charité10, Dresden University of Technology11, University of Nottingham12, German National Metrology Institute13, Paris Descartes University14, University of Toronto15, Montreal Neurological Institute and Hospital16, University of Cambridge17
TL;DR: By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.
Abstract: Many factors have been proposed as contributors to risk of alcohol abuse, but quantifying their influence has been difficult; here a longitudinal study of a large sample of adolescents and machine learning are used to generate models of predictors of current and future alcohol abuse, assessing the relative contribution of many factors, including life history, individual personality differences, brain structure and genotype. Many factors have been identified as contributors to risk of alcohol abuse but their relative importance has been difficult to quantify. Robert Whelan et al. constructed models of current and future adolescent binge drinking using data from the IMAGEN project, a study of risk-taking behaviour in more than 2,000 teenagers recruited at age 14 from the United Kingdom, Ireland, France and Germany. The authors used machine learning to generate models of predictors of current and future alcohol abuse, assessing the contribution of many factors including life history, individual personality differences, brain structure and genotype. A key finding of the study was that personality factors were, surprisingly, not particularly useful predictors of future alcohol misuse. In contrast, neurodevelopmental immaturity, certain structural and functional indicators in the brain, sexual experience and prenatal alcohol exposure were associated with current and future binge drinking. A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models1 can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers2 in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence3. A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms4. Here we apply machine learning to a wide range of data from a large sample of adolescents (n = 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.
357 citations
Authors
Showing all 17727 results
Name | H-index | Papers | Citations |
---|---|---|---|
Albert Hofman | 267 | 2530 | 321405 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
George Davey Smith | 224 | 2540 | 248373 |
Stephen V. Faraone | 188 | 1427 | 140298 |
Valentin Fuster | 179 | 1462 | 185164 |
Dennis J. Selkoe | 177 | 607 | 145825 |
Anders Björklund | 165 | 769 | 84268 |
Alfred L. Goldberg | 156 | 474 | 88296 |
Christopher P. Cannon | 151 | 1118 | 108906 |
Debbie A Lawlor | 147 | 1114 | 101123 |
Roger J. Davis | 147 | 498 | 103478 |
Andrew S. Levey | 144 | 600 | 156845 |
Jonathan G. Seidman | 137 | 563 | 89782 |
Yu Huang | 136 | 1492 | 89209 |
Christine E. Seidman | 134 | 519 | 67895 |