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
Papers
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TL;DR: Although dyspnoea and fatigue were the most frequent symptoms, syncope occurred in 31% (57 of 182) of patients with IPAH or FPAH and in 18% (eight of 45) of those with repaired congenital heart disease; no children with unrepaired congenital systemic-to-pulmonary shunts had syncope.
399 citations
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TL;DR: The need for clinicians to keep in mind the high prevalence of associated diagnoses with an ASD diagnosis is highlighted, and the possibility that in younger children other symptoms or disorders may be masking or obscuring core symptoms of ASD, which would lead to a diagnosis.
Abstract: :Background:Autism spectrum disorders (ASDs) often co-occur with other developmental, psychiatric, neurologic, or medical diagnoses.Objective:This study examined co-occurring non-ASD diagnoses and symptoms in a population-based cohort of 8 year olds identified with ASD.Method:Data on 2,568 c
399 citations
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TL;DR: In this article, the authors describe and illustrate six factors that affect the size of a Pearson correlation: the amount of variability in the data, differences in the shapes of the 2 distributions, lack of linearity, the presence of 1 or more "outliers," characteristics of the sample, and measurement error.
Abstract: . The authors describe and illustrate 6 factors that affect the size of a Pearson correlation: (a) the amount of variability in the data, (b) differences in the shapes of the 2 distributions, (c) lack of linearity, (d) the presence of 1 or more "outliers," (e) characteristics of the sample, and (f) measurement error. Also discussed are ways to determine whether these factors are likely affecting the correlation, as well as ways to estimate the size of the influence or reduce the influence of each.
399 citations
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TL;DR: IFN&bgr;-1a demonstrated benefit on MSFC progression, relapses, quality of life, and MRI activity in SPMS.
Abstract: Background: Interferon β-1a (IFNβ-1a, Avonex) is efficacious in relapsing forms of MS. Studies of other IFNβ preparations in secondary progressive MS (SPMS) yielded conflicting results. This study was undertaken to determine whether IFNβ-1a slowed disease progression in SP-MS. Methods: A total of 436 subjects with SPMS and Expanded Disability Status Scale (EDSS) score 3.5 to 6.5 were randomized to receive IFNβ-1a (60 μg) or placebo by weekly intramuscular injection for 2 years. The primary outcome measure, used for the first time in a large-scale MS trial, was baseline to month 24 change in the MS Functional Composite (MSFC), comprising quantitative tests of ambulation (Timed 25-Foot Walk), arm function (Nine-Hole Peg Test [9HPT]), and cognition (Paced Auditory Serial Addition Test [PASAT]). Results: Median MSFC Z-score change was reduced 40.4% in IFNβ-1a subjects (−0.096 vs −0.161 in placebo subjects, p = 0.033), an effect driven mainly by the 9HPT and PASAT. There was no discernible benefit on the EDSS, which in this range principally reflects walking ability. IFNβ-1a subjects had 33% fewer relapses ( p = 0.008). There was significant benefit on eight of 11 MS Quality of Life Inventory subscales. New or enlarging T2-hyperintense brain MRI lesions and gadolinium-enhancing lesions were reduced at months 12 and 24 (both p Conclusions: IFNβ-1a demonstrated benefit on MSFC progression, relapses, quality of life, and MRI activity in SPMS.
399 citations
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TL;DR: The present article reviews the recent advances in the diagnosis of preinvasive and early-invasive cancer to identify biomarkers for early detection of lung cancer and for chemoprevention studies.
Abstract: Lung cancer is the most common cause of cancer death in developed countries. The prognosis is poor, with less than 15% of patients surviving 5 years after diagnosis. The poor prognosis is attributable to lack of efficient diagnostic methods for early detection and lack of successful treatment for metastatic disease. Most patients (>75%) present with stage III or IV disease and are rarely curable with current therapies. Within the last decade, rapid advances in molecular biology, pathology, bronchology, and radiology have provided a rational basis for improving outcome. These advancements have led to a better documentation of morphological changes in the bronchial epithelium before development of clinical evident invasive carcinomas. This has changed our concept of lung carcinogenesis and emphasized the multistep carcinogenesis approach on several levels. Combined with the technical developments in bronchoscopic techniques, e.g., laser-induced fluorescence endoscope (LIFE) bronchoscopy, we now have improved methods to localize preinvasive and early-invasive bronchial lesions. With the LIFE bronchoscope, a new morphological entity (angiogenic squamous dysplasia) has been recognized, which might be an important biomarker and target for antiangiogenic chemopreventive agents. To reduce the mortality of lung cancer, these new technologies have been taken into the clinic in different scientific settings. The use of low-dose spiral computed tomography in the screening of a high-risk population has demonstrated the possibility of diagnosing small peripheral tumors that are not seen on conventional X-ray. A shift in the therapeutic paradigm from targeting advanced clinically manifest lung cancer toward asymptomatic preinvasive and early-invasive cancer is occurring. The present article reviews the recent advances in the diagnosis of preinvasive and early-invasive cancer to identify biomarkers for early detection of lung cancer and for chemoprevention studies.
398 citations
Authors
Showing all 27683 results
Name | H-index | Papers | Citations |
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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 |