Institution
University of Colorado Denver
Education•Denver, Colorado, United States•
About: University of Colorado Denver is a education organization based out in Denver, Colorado, United States. It is known for research contribution in the topics: Population & Health care. The organization has 27444 authors who have published 57213 publications receiving 2539937 citations. The organization is also known as: CU Denver & UCD.
Topics: Population, Health care, Poison control, Medicine, Diabetes mellitus
Papers published on a yearly basis
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Harvard University1, Johns Hopkins University2, University of Colorado Denver3, University of Colorado Boulder4, Nanyang Technological University5, University of Massachusetts Medical School6, University of Washington7, University of California, San Diego8, University of New Mexico9, University of Toronto10, University of Groningen11, Washington University in St. Louis12
TL;DR: In this article, the authors classified children with asthma according to four characteristic patterns of lung function growth and decline on the basis of graphs showing forced expiratory volume in 1 second (FEV1), representing spirometric measurements performed from childhood into adulthood.
Abstract: BackgroundTracking longitudinal measurements of growth and decline in lung function in patients with persistent childhood asthma may reveal links between asthma and subsequent chronic airflow obstruction. MethodsWe classified children with asthma according to four characteristic patterns of lung-function growth and decline on the basis of graphs showing forced expiratory volume in 1 second (FEV1), representing spirometric measurements performed from childhood into adulthood. Risk factors associated with abnormal patterns were also examined. To define normal values, we used FEV1 values from participants in the National Health and Nutrition Examination Survey who did not have asthma. ResultsOf the 684 study participants, 170 (25%) had a normal pattern of lung-function growth without early decline, and 514 (75%) had abnormal patterns: 176 (26%) had reduced growth and an early decline, 160 (23%) had reduced growth only, and 178 (26%) had normal growth and an early decline. Lower baseline values for FEV1, smal...
404 citations
King's College London1, University of Texas MD Anderson Cancer Center2, Pasteur Institute3, Monell Chemical Senses Center4, Oregon Health & Science University5, University of Colorado Boulder6, Drexel University7, Pennsylvania State University8, Wadsworth Center9, Leibniz Association10, Health Canada11, University of Tennessee Health Science Center12, Washington University in St. Louis13, University of Memphis14, University of Massachusetts Medical School15, Hebrew University of Jerusalem16, University of Groningen17, Roswell Park Cancer Institute18, Purdue University19, University of California, Davis20, University of Oxford21, University of Texas Southwestern Medical Center22, International Livestock Research Institute23, Max Planck Society24, University of Alabama at Birmingham25, National Institutes of Health26, Charité27, RWTH Aachen University28, University of California, Los Angeles29, McGill University30, Royal Melbourne Hospital31, Rutgers University32, Stanford University33, Columbia University34, Princeton University35, University of Nebraska–Lincoln36, Harvard University37, University of Toronto38, Vanderbilt University39, Northwestern University40, Shriners Hospitals for Children41, University of Colorado Denver42, Thomas Jefferson University43, University of Vermont44, University of North Carolina at Chapel Hill45, Southern Illinois University Carbondale46, Medical Research Council47, New York University48, University of Kentucky49
TL;DR: This white paper by eighty members of the Complex Trait Consortium presents a community's view on the approaches and statistical analyses that are needed for the identification of genetic loci that determine quantitative traits.
Abstract: This white paper by eighty members of the Complex Trait Consortium presents a community's view on the approaches and statistical analyses that are needed for the identification of genetic loci that determine quantitative traits. Quantitative trait loci (QTLs) can be identified in several ways, but is there a definitive test of whether a candidate locus actually corresponds to a specific QTL?
404 citations
TL;DR: Improvements in symptoms were observed in all treatment groups and were not associated with changes in esophageal eosinophil counts, but the differences between the reslizumab and placebo groups were not statistically significant.
Abstract: Background Eosinophilic esophagitis is a chronic allergic disease with insufficient treatment options. Results from animal studies suggest that IL-5 induces eosinophil trafficking in the esophagus. Objective We sought to evaluate the effect of reslizumab, a neutralizing antibody against IL-5, in children and adolescents with eosinophilic esophagitis. Methods Patients with symptom severity scores of moderate or worse and an esophageal biopsy specimen with 24 or more intraepithelial eosinophils per high-power field were randomly assigned to receive infusions of 1, 2, or 3 mg/kg reslizumab or placebo at weeks 0, 4, 8, and 12. The coprimary efficacy measures were changes in peak esophageal eosinophil count and the physician's global assessment score at week 15 (end of therapy). Results Two-hundred twenty-six patients received study medication. Median reductions from baseline to the end of therapy in peak esophageal eosinophil counts were 59%, 67%, 64%, and 24% in the 1, 2, and 3 mg/kg reslizumab (all P Conclusion Reslizumab significantly reduced intraepithelial esophageal eosinophil counts in children and adolescents with eosinophilic esophagitis. However, improvements in symptoms were observed in all treatment groups and were not associated with changes in esophageal eosinophil counts.
404 citations
New York City Department of Health and Mental Hygiene1, University of Groningen2, World Health Organization3, Shahid Beheshti University of Medical Sciences and Health Services4, Statens Serum Institut5, California Department of Public Health6, Rio de Janeiro State University7, Post Graduate Institute of Medical Education and Research8, McGill University9, University of Pennsylvania10, Radboud University Nijmegen11, Institut de recherche pour le développement12, University Health Network13, Albert Einstein College of Medicine14, National Institutes of Health15, Centers for Disease Control and Prevention16, University of Colorado Denver17, Centre for Health Protection18, Oswaldo Cruz Foundation19, University of Cape Town20, University of Sydney21, University of Paris22, Médecins Sans Frontières23, University of California, San Francisco24, Emory University25, Brigham and Women's Hospital26, Samsung Medical Center27, Federal University of Rio de Janeiro28, Hofstra University29, New Generation University College30, Karolinska Institutet31, St. Joseph's Healthcare Hamilton32, Sofia Medical University33, Harvard University34, Columbia University35, Cornell University36, University of Texas Health Science Center at Tyler37, Partners In Health38, University of Ulsan39, University of Sassari40, Queen Mary University of London41, The Chinese University of Hong Kong42
TL;DR: Treatment outcomes were significantly better with use of linezolid, later generation fluoroquinolones, bedaquiline, clofazimine, and carbapenems for treatment of multidrug-resistant tuberculosis, and the need for trials to ascertain the optimal combination and duration of these drugs is emphasised.
404 citations
TL;DR: A survey of the literature on aggregate poverty measures can be found in this paper, where the authors examine the desirability of each axiom, the properties of each poverty measure, and the interrelationships among axioms.
Abstract: The way poverty is measured is important for an understanding of what has happened to poverty as well as for anti-poverty policy evaluation. Sen's (1976) pathfinding work has motivated many researchers to focus on the way poverty should be measured. A poverty measure, argued by Sen, should satisfy certain properties or axioms and the desirability of a poverty measure should be evaluated by these axioms. During the last two decades, many researchers have adopted the axiomatic approach pioneered by Sen to propose additional axioms and develop alternative poverty measures. The objective of this survey is to provide a clarification on the extensive literature of aggregate poverty measures. In this survey, we first examine the desirability of each axiom, the properties of each poverty measure, and the interrelationships among axioms. The desirability of an axiom cannot be evaluated in isolation, and some combination of axioms may make it impossible to devise a satisfactory poverty measure; some axioms can be implied by other axioms combined and so are not independent; some others are ad hoc and are disqualified as axioms for poverty measurement. Based on the interactions among axioms, we identify the ‘core’ axioms which together have a strong implication on the functional form of a poverty measure. We then review poverty measures that have appeared in the literature, evaluating the interrelationships among different measures, and examining the properties of each measure. The axioms each measure satisfies/violates are also summarized in a tabular form. Several ‘good’ poverty measures, which have not been documented by previous surveys, are also included.
404 citations
Authors
Showing all 27683 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Matthew Meyerson | 194 | 553 | 243726 |
| Charles A. Dinarello | 190 | 1058 | 139668 |
| Gad Getz | 189 | 520 | 247560 |
| Gordon B. Mills | 187 | 1273 | 186451 |
| Jasvinder A. Singh | 176 | 2382 | 223370 |
| David Haussler | 172 | 488 | 224960 |
| Donald G. Truhlar | 165 | 1518 | 157965 |
| Charles M. Perou | 156 | 573 | 202951 |
| David Cella | 156 | 1258 | 106402 |
| Bruce D. Walker | 155 | 779 | 86020 |
| Marco A. Marra | 153 | 620 | 184684 |
| Thomas E. Starzl | 150 | 1625 | 91704 |
| Marc Humbert | 149 | 1184 | 100577 |
| Rajesh Kumar | 149 | 4439 | 140830 |
| Martin J. Blaser | 147 | 820 | 104104 |