130,386 research outputs found
Palliative medical aspects of small-cell lung cancer
No full textSmall-cell lung cancer (SCLC) is an aggressive tumor with an unfavorable prognosis. There are only very limited data on the effectiveness of palliative care interventions for this disease. Selective review of the literature. Compared to other tumor types there is a more frequent and more severe symptom burden. Paraneoplastic syndromes, for instance, are seen more frequently compared to other tumor types. Given the high rate of cerebral metastases and the indications for prophylactic cranial irradiation there is a substantial risk of developing cognitive impairment. Therefore, SCLC appears to be a disease with a high need for early palliative care interventions. Early palliative care can improve the quality of life of cancer patients. Furthermore it helps reduce the aggressiveness of cancer treatment near the end of life. The higher number of advance directives achieved in patients with early palliative care helps in the planning of critical situations during the course of the disease
Floor plan extraction from digital building models
No full textTauscher, H., Krishnakumar, S., & Heigener D. (2022). Floor plan extraction from digital building models.
In: Minghini, M., Liu, P., Li, H., Grinberger, A.Y., & Juhász, L. (Eds.). Proceedings of the Academic Track at State of the Map 2022, Florence, Italy, 19-21 August 2022. Available at https://zenodo.org/communities/sotm-2
A cross-market cost comparison of erlotinib versus pemetrexed for first-line maintenance treatment of patients with locally advanced or metastatic non-small-cell lung cancer
No full textMaintenance erlotinib in advanced nonsmall cell lung cancer: cost-effectiveness in EGFR wild-type across Europe
No full textSilke Walleser,1 Joshua Ray,2 Helge Bischoff,3 Alain Vergnenègre,4 Hubertus Rosery,5 Christos Chouaid,6 David Heigener,7 Javier de Castro Carpeño,8 Marcello Tiseo,9 Stefan Walzer21Health Economic Consultancy, Renens, Switzerland; 2F Hoffmann-La Roche Pharmaceuticals AG, Basel, Switzerland; 3Thoracic Hospital of Heidelberg, Heidelberg, Germany; 4Limoges University Hospital, Limoges, France; 5Assessment-in-Medicine GmbH, Loerrach, Germany; 6Hospital Saint Antoine, Paris, France; 7Hospital Grosshansdorf, Grosshansdorf, Germany; 8University Hospital La Paz, Madrid, Spain; 9University Hospital of Parma, Parma, ItalyBackground: First-line maintenance erlotinib in patients with locally advanced or metastatic nonsmall cell lung cancer (NSCLC) has demonstrated significant overall survival and progression-free survival benefits compared with best supportive care plus placebo, irrespective of epidermal growth factor receptor (EGFR) status (SATURN trial). The cost-effectiveness of first-line maintenance erlotinib in the overall SATURN population has been assessed and published recently, but analyses according to EGFR mutation status have not been performed yet, which was the rationale for assessing the cost-effectiveness of first-line maintenance erlotinib specifically in EGFR wild-type metastatic NSCLC.Methods: The incremental cost per life-year gained of first-line maintenance erlotinib compared with best supportive care in patients with EGFR wild-type stable metastatic NSCLC was assessed for five European countries (the United Kingdom, Germany, France, Spain, and Italy) with an area-under-the-curve model consisting of three health states (progression-free survival, progressive disease, death). Log-logistic survival functions were fitted to Phase III patient-level data (SATURN) to model progression-free survival and overall survival. The first-line maintenance erlotinib therapy cost (modeled for time to treatment cessation), medication cost in later lines, and cost for the treatment of adverse events were included. Deterministic and probabilistic sensitivity analyses using Monte Carlo simulation (1000 iterations) were performed.Results: According to the model simulations, first-line maintenance erlotinib compared with best supportive care in EGFR wild-type stable metastatic NSCLC resulted in 4.57 months of life gained (17.82 months for erlotinib versus 13.24 months for best supportive care) and 1.14 months of life without progression gained (erlotinib 4.29 versus best supportive care 3.15), and incremental total costs of erlotinib from €7897 (UK) to €9580 (Germany). The corresponding mean incremental cost per life-year gained of erlotinib ranged between €20,711 (UK) and €25,124 (Germany). Sensitivity analyses confirmed these results.Conclusion: First-line erlotinib maintenance treatment is cost-effective compared with best supportive care in EGFR wild-type stable metastatic NSCLC, irrespective of the country setting.Keywords: nonsmall cell lung cancer, erlotinib, cost-benefit analysis, epidermal growth factor receptor, wild-type, Europ
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.
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
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