Institution
University of Utah
Education•Salt Lake City, Utah, United States•
About: University of Utah is a education organization based out in Salt Lake City, Utah, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 52894 authors who have published 124076 publications receiving 5265834 citations. The organization is also known as: The U & The University of Utah.
Topics: Population, Poison control, Health care, Cancer, Transplantation
Papers published on a yearly basis
Papers
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Northwestern University1, George Washington University2, National Institutes of Health3, University of Alabama at Birmingham4, University of Utah5, Stanford University6, Columbia University7, Brown University8, University of Texas Medical Branch9, University of North Carolina at Chapel Hill10, University of Texas Health Science Center at Houston11, Ohio State University12, MetroHealth13, University of Texas Southwestern Medical Center14, University of Colorado Denver15, University of Pennsylvania16, Duke University17, University of Pittsburgh18, Washington University in St. Louis19
TL;DR: Induction of labor at 39 weeks in low‐risk nulliparous women did not result in a significantly lower frequency of a composite adverse perinatal outcome, but it did result in less frequency of cesarean delivery.
Abstract: Background The perinatal and maternal consequences of induction of labor at 39 weeks among low-risk nulliparous women are uncertain. Methods In this multicenter trial, we randomly assigned...
623 citations
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University of North Carolina at Chapel Hill1, University of Pennsylvania2, University of Colorado Denver3, Tel Aviv University4, Baylor University Medical Center5, Durham University6, University of California, San Diego7, Mayo Clinic8, Northwestern University9, Nestlé10, Tufts University11, Boston Children's Hospital12, Icahn School of Medicine at Mount Sinai13, University of Texas Southwestern Medical Center14, Cincinnati Children's Hospital Medical Center15, Baylor College of Medicine16, Nationwide Children's Hospital17, University of Paris18, University of Health Sciences Antigua19, University of Illinois at Urbana–Champaign20, Shimane University21, University Hospitals Coventry and Warwickshire NHS Trust22, Harvard University23, Juntendo University24, University of Ljubljana25, National and Kapodistrian University of Athens26, University of Utah27, University of Adelaide28, University of South Florida29, University of Lausanne30, University College London31, Kaiser Permanente32, University of Newcastle33, Vanderbilt University34, Vrije Universiteit Brussel35, Federal University of Paraná36, Children's Memorial Hospital37, University of Amsterdam38
TL;DR: An updated diagnostic algorithm for EoE was developed, with removal of the PPI trial requirement, and the evidence suggests that PPIs are better classified as a treatment for esophageal eosinophilia that may be due to EOE than as a diagnostic criterion.
621 citations
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University of Utah1, Lawrence Berkeley National Laboratory2, Paris Diderot University3, University of Washington4, University of Wisconsin-Madison5, Harvard University6, Princeton University7, University of Portsmouth8, New York University9, University of Wyoming10, Yale University11, University of Chile12, Institut d'Astrophysique de Paris13, University of California, Santa Cruz14, Pennsylvania State University15, University of Pittsburgh16
TL;DR: In this paper, the authors describe the automated spectral classification, redshift determination, and parameter measurement pipeline in use for the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey III (SDSS-III) as of the survey's ninth data release (DR9), encompassing 831,000 moderate-resolution optical spectra.
Abstract: We describe the automated spectral classification, redshift determination, and parameter measurement pipeline in use for the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey III (SDSS-III) as of the survey's ninth data release (DR9), encompassing 831,000 moderate-resolution optical spectra. We give a review of the algorithms employed, and describe the changes to the pipeline that have been implemented for BOSS relative to previous SDSS-I/II versions, including new sets of stellar, galaxy, and quasar redshift templates. For the color-selected "CMASS" sample of massive galaxies at redshift 0.4 ≲ z ≲ 0.8 targeted by BOSS for the purposes of large-scale cosmological measurements, the pipeline achieves an automated classification success rate of 98.7% and confirms 95.4% of unique CMASS targets as galaxies (with the balance being mostly M stars). Based on visual inspections of a subset of BOSS galaxies, we find that approximately 0.2% of confidently reported CMASS sample classifications and redshifts are incorrect, and about 0.4% of all CMASS spectra are objects unclassified by the current algorithm which are potentially recoverable. The BOSS pipeline confirms that ~51.5% of the quasar targets have quasar spectra, with the balance mainly consisting of stars and low signal-to-noise spectra. Statistical (as opposed to systematic) redshift errors propagated from photon noise are typically a few tens of km s–1 for both galaxies and quasars, with a significant tail to a few hundreds of km s–1 for quasars. We test the accuracy of these statistical redshift error estimates using repeat observations, finding them underestimated by a factor of 1.19-1.34 for galaxies and by a factor of two for quasars. We assess the impact of sky-subtraction quality, signal-to-noise ratio, and other factors on galaxy redshift success. Finally, we document known issues with the BOSS DR9 spectroscopic data set and describe directions of ongoing development.
620 citations
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TL;DR: The value of population screening is demonstrated in these studies by the detection of homozygotes before clinical manifestations of hemochromatosis occur, and the efficacy of transferrin saturation as a screening tool for hemochROMatosis is determined.
Abstract: There is evidence that iron loading and organ damage can be prevented in patients with hemochromatosis if prophylactic phlebotomy is employed early in the disease--findings emphasizing the importance of early detection before clinical signs occur. This study was designed to determine the efficacy of transferrin saturation as a screening tool for hemochromatosis and to assess the frequency of homozygosity for the HLA-linked hemochromatosis gene in a healthy population. We screened 11,065 presumably healthy blood donors (5840 men and 5225 women). Donors with transferrin saturations of 62 percent or more after an overnight fast were considered potential homozygotes and were asked to undergo liver biopsy and pedigree analysis. The frequency of values for transferrin saturation of 62 or higher in men was 0.008 and in women 0.003. Thirty-eight persons with values higher than 62 were studied in detail; 35 underwent liver biopsy. Liver iron stores ranged from normal to markedly increased. Twelve siblings with an identical HLA match to a proband underwent liver biopsy, and 11 had increased liver iron stores. According to likelihood analysis of the pedigrees, 26 of the 38 probands were homozygotes, and 12 were heterozygotes. The estimated frequency of homozygosity was based on the data in men, because the threshold value of 62 for the transferrin saturation identified only half as many female homozygotes as expected. The frequency of homozygosity was 0.0045, corresponding to a gene frequency of 0.067. The value of population screening is demonstrated in these studies by the detection of homozygotes before clinical manifestations of hemochromatosis occur.
620 citations
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TL;DR: Additional standardization efforts are required to ensure that hs-CRP results can be related to large-scale epidemiologic studies.
Abstract: Background: C-Reactive protein (CRP) can provide prognostic information about risk of future coronary events in apparently healthy subjects. This application requires higher sensitivity assays than have traditionally been available in the clinical laboratory.
Methods: Nine high-sensitivity CRP (hs-CRP) methods from Dade Behring, Daiichi, Denka Seiken, Diagnostic Products Corporation, Iatron, Kamiya, Olympus, Roche, and Wako were evaluated for limit of detection, linearity, precision, prozone effect, and comparability with samples from 388 apparently healthy individuals.
Results: All methods had limits of detection that were lower than the manufacturers’ claimed limit of quantification except for the Kamiya, Roche, and Wako methods. All methods were linear at 0.3–10 mg/L. The Diagnostic Products Corporation, Kamiya, Olympus, and Wako methods had imprecision (CVs) >10% at 0.15 mg/L. The Iatron, Olympus, and Wako methods demonstrated prozone effects at hs-CRP concentrations of 12, 206, and 117 mg/L, respectively. hs-CRP concentrations demarcating each quartile in a healthy population were method-dependent. Ninety-two to 95% of subjects were classified into the same quartile of hs-CRP established by the Dade Behring method by the Denka Seiken, Diagnostic Products Corporation, Iatron, and Wako methods. In contrast, 68–77% of subjects were classified into the same quartile by the Daiichi, Kamiya, Olympus, and Roche methods. No subject varied by more than one quartile by any method.
Conclusions: Four of the nine examined hs-CRP methods classified apparently healthy subjects into quartiles of hs-CRP similar to the classifications assigned by the comparison method. Additional standardization efforts are required because an individual patient’s results will be interpreted using population-based cutpoints.
620 citations
Authors
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Name | H-index | Papers | Citations |
---|---|---|---|
Bert Vogelstein | 247 | 757 | 332094 |
George M. Whitesides | 240 | 1739 | 269833 |
Hongjie Dai | 197 | 570 | 182579 |
Robert M. Califf | 196 | 1561 | 167961 |
Frank E. Speizer | 193 | 636 | 135891 |
Yusuke Nakamura | 179 | 2076 | 160313 |
David L. Kaplan | 177 | 1944 | 146082 |
Marc G. Caron | 173 | 674 | 99802 |
George M. Church | 172 | 900 | 120514 |
Steven P. Gygi | 172 | 704 | 129173 |
Lily Yeh Jan | 162 | 467 | 73655 |
Tobin J. Marks | 159 | 1621 | 111604 |
David W. Bates | 159 | 1239 | 116698 |
Alfred L. Goldberg | 156 | 474 | 88296 |
Charles M. Perou | 156 | 573 | 202951 |