31 research outputs found

    Economic evaluation of oral versus parenteral iron therapy for iron deficiency without anemia

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    The Swiss Federal Office of Public Health (SFOPH) commissioned a Health Technology Assessment (HTA) regarding iron therapy in symptomatic patients with iron deficiency without anemia (iron deficiency no anemia, IDNA) to the Basel Institute for Clinical Epidemiology and Biostatistics (CEB) and the Winterthur Institute of Health Economics (WIG). The scope, which describes the background of the HTA and elucidates the general approach, has been published on the SFOPH homepage. This HTA followed a step-wise approach. The aim of the first step was to assess the clinical effectiveness of iron therapy in symptomatic patients with IDNA, and to identify symptomatic populations that benefit from the therapy. In this first step, the clinical effectiveness of iron therapy was assessed in comparison to any other non-iron treatment or placebo, irrespective of the route of iron administration. This step was conducted by CEB, and the results are summarized in chapter 2 of this document. In the second step, which will be conducted by WIG, the economic evaluation shall compare parenteral versus oral iron therapy for those populations, for which a significant treatment effect of iron therapy (parenteral or oral) versus control could be identified during the first step. Based on the effectiveness results, the scope of the economic evaluation is outlined in chapter 4. Section 4.1 defines the objective of the economic evaluation. Section 4.2 defines the population, the intervention, the comparator, and the outcome (PICO) which will be evaluated. A screening of health economic literature and publicly available HTAs for economic studies comparing parenteral with oral iron therapy is presented in section 4.3, and section 4.4 concludes with the outline of the research methodology of the economic evaluation

    Formation of dense partonic matter in relativistic nucleus-nucleus collisions at RHIC: Experimental evaluation by the PHENIX collaboration

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    Extensive experimental data from high-energy nucleus-nucleus collisions were recorded using the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC). The comprehensive set of measurements from the first three years of RHIC operation includes charged particle multiplicities, transverse energy, yield ratios and spectra of identified hadrons in a wide range of transverse momenta (p_T), elliptic flow, two-particle correlations, non-statistical fluctuations, and suppression of particle production at high p_T. The results are examined with an emphasis on implications for the formation of a new state of dense matter. We find that the state of matter created at RHIC cannot be described in terms of ordinary color neutral hadrons.Comment: 510 authors, 127 pages text, 56 figures, 1 tables, LaTeX. Submitted to Nuclear Physics A as a regular article; v3 has minor changes in response to referee comments. Plain text data tables for the points plotted in figures for this and previous PHENIX publications are (or will be) publicly available at http://www.phenix.bnl.gov/papers.htm

    The ALICE experiment at the CERN LHC

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    ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model. It is designed to address the physics of strongly interacting matter and the quark-gluon plasma at extreme values of energy density and temperature in nucleus-nucleus collisions. Besides running with Pb ions, the physics programme includes collisions with lighter ions, lower energy running and dedicated proton-nucleus runs. ALICE will also take data with proton beams at the top LHC energy to collect reference data for the heavy-ion programme and to address several QCD topics for which ALICE is complementary to the other LHC detectors. The ALICE detector has been built by a collaboration including currently over 1000 physicists and engineers from 105 Institutes in 30 countries. Its overall dimensions are 161626 m3 with a total weight of approximately 10 000 t. The experiment consists of 18 different detector systems each with its own specific technology choice and design constraints, driven both by the physics requirements and the experimental conditions expected at LHC. The most stringent design constraint is to cope with the extreme particle multiplicity anticipated in central Pb-Pb collisions. The different subsystems were optimized to provide high-momentum resolution as well as excellent Particle Identification (PID) over a broad range in momentum, up to the highest multiplicities predicted for LHC. This will allow for comprehensive studies of hadrons, electrons, muons, and photons produced in the collision of heavy nuclei. Most detector systems are scheduled to be installed and ready for data taking by mid-2008 when the LHC is scheduled to start operation, with the exception of parts of the Photon Spectrometer (PHOS), Transition Radiation Detector (TRD) and Electro Magnetic Calorimeter (EMCal). These detectors will be completed for the high-luminosity ion run expected in 2010. This paper describes in detail the detector components as installed for the first data taking in the summer of 2008

    The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases

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    The SIB Swiss Institute of Bioinformatics (www.isb-sib.ch) provides world-class bioinformatics databases, software tools, services and training to the international life science community in academia and industry. These solutions allow life scientists to turn the exponentially growing amount of data into knowledge. Here, we provide an overview of SIB's resources and competence areas, with a strong focus on curated databases and SIB's most popular and widely used resources. In particular, SIB's Bioinformatics resource portal ExPASy features over 150 resources, including UniProtKB/Swiss-Prot, ENZYME, PROSITE, neXtProt, STRING, UniCarbKB, SugarBindDB, SwissRegulon, EPD, arrayMap, Bgee, SWISS-MODEL Repository, OMA, OrthoDB and other databases, which are briefly described in this article
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