130,903 research outputs found
Sleep Quality as a Novel Mediator of Reductions in Daytime Breathlessness With Low-dose Morphine in People With Chronic Obstructive Pulmonary Disease
No full textD. J. Eckert, B. Toson, K. A. Loffler, M. P. Ekstrom, D. Currow, T. J. Altre
Clinical pharmacology
No full textAbstract
The interaction of medications with the person who has a life-limiting illness is critical to consider. Most people with a life-limiting illness have new medications introduced, while continuing their longer-term medications for their comorbid illnesses. Understanding the potential medication–person and medication–medication interactions is crucial to minimize harms and maximize benefits. In this setting, many people benefit from careful review of their medications to optimize their compliance with those medications that are most beneficial and, at the same time, to minimize harms.</jats:p
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Development of Indicators to Assess Quality of Care for Prostate Cancer
No full textAbstract not availableNupur Nag, Jeremy Millar, Ian D. Davis, Shaun Costello, James B. Duthie, Stephen Mark, Warick Delprado, David Smith, David Pryor, David Galvin, Frank Sullivan, Aine C. Murphy, David Roder, Hany Elsaleh, David Currow, Craig White, Marketa Skala, Kim L. Moretti, Tony Walker, Paolo De Ieso, Andrew Brooks, Peter Heathcote, Mark Frydenberg, Jeffery Thavaseelan, Sue M. Evan
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
Efficacy of Anamorelin, a Novel Non-Peptide Ghrelin Analogue, in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) and Cachexia-Review and Expert Opinion
No full textCancer cachexia is a multilayered syndrome consisting of the interaction between tumor cells and the host, at times modulated by the pharmacologic treatments used for tumor control. Key cellular and soluble mediators, activated because of this interaction, induce metabolic and nutritional alterations. This results in mass and functional changes systemically, and can lead to increased morbidity and reduced length and quality of life. For most solid malignancies, a cure remains an unrealistic goal, and targeting the key mediators is ineffective because of their heterogeneity/redundancy. The most beneficial approach is to target underlying systemic mechanisms, an approach where the novel non-peptide ghrelin analogue anamorelin has the advantage of stimulating appetite and possibly food intake, as well as promoting anabolism and significant muscle mass gain. In the ROMANA studies, compared with placebo, anamorelin significantly increased lean body mass in non-small cell lung cancer (NSCLC) patients. Body composition analysis suggested that anamorelin is an active anabolic agent in patients with NSCLC, without the side effects of other anabolic drugs. Anamorelin also induced a significant and meaningful improvement of anorexia/cachexia symptoms. The ROMANA trials have provided unprecedented knowledge, highlighting the therapeutic effects of anamorelin as an initial, but significant, step toward directly managing cancer cachexia
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