1,720,960 research outputs found
Use of Cytotoxic Chemotherapy in Metastatic Breast Cancer: Putting Taxanes in Perspective
No full textAgents that target microtubule (MT) dynamics have been used extensively for the treatment of metastatic breast cancer (MBC). Among these agents are taxanes (solvent-based paclitaxel [sb-paclitaxel], docetaxel, and nab-paclitaxel) and non-taxanes, such as eribulin and ixabepilone. Although these agents have been approved for the treatment of MBC, questions regarding the ideal agent, regimen (single agent vs. combination vs. sequential), and schedule still remain. This systematic review examined pivotal trials for taxanes, eribulin, and ixabepilone as well as first-line taxane trials in MBC. Only randomized trials that enrolled ≥ 100 patients were included. Publications on combination regimens with targeted agents were excluded unless they also included a comparison between nontargeted regimens. The studies were grouped into taxane versus taxane, sb-paclitaxel versus non-taxane, and docetaxel versus non-taxane regimens. In taxane versus taxane comparisons, the efficacy of sb-paclitaxel and docetaxel appeared similar, nab-paclitaxel every 3 weeks (q3w) appeared superior to sb-paclitaxel q3w, and weekly nab-paclitaxel appeared superior to docetaxel. In general, taxane regimens demonstrated higher overall response rates (ORRs) versus non-taxane regimens; however, only 2 trials demonstrated longer overall survival (OS) for taxane regimens. Taxanes will likely continue to be used in earlier lines of therapy, whereas eribulin and ixabepilone may be more appropriate for later lines of treatment. Ongoing research may identify biomarkers that could help in selecting the appropriate MT-targeted agent for a given patient
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Evolution of bevacizumab-based therapy in the management of breast cancer
No full textCombination therapy comprising bevacizumab with paclitaxel recently received accelerated approval from the US Food and Drug Administration (FDA) for use in the first-line treatment of patients with metastatic breast cancer. Bevacizumab is a monoclonal antibody that targets vascular endothelial growth factor (VEGF), providing direct inhibition of angiogenesis. The evolution of bevacizumab use in the first-line treatment of patients with breast cancer has been characterized by a logical progression of phase II and III trials that have demonstrated that angiogenesis plays an important role throughout all stages of breast cancer growth and progression. In the phase III clinical trial E2100, which provided the basis for FDA approval, the use of bevacizumab (10 mg/kg on days 1 and 15) plus paclitaxel (90 mg/m2 days 1, 8, and 15 every 28 days) given until disease progression approximately doubled median progression-free survival (PFS; 11.8 months vs. 5.9 months; hazard ratio = 0.60; P < .001) compared with paclitaxel alone; by contrast, a statistically significant improvement in overall survival was not seen with the addition of bevacizumab, although a post hoc analysis demonstrated a significant increase in 1-year survival for the combination arm. The E2100 study, as well as the majority of clinical trial designs for bevacizumab, has used PFS as the primary efficacy endpoint, and, in this review, the development of PFS as a measure of clinical benefit is outlined. This review also discusses the importance of VEGF signaling in early phases of breast tumor progression, which has provided a rationale for the investigation of bevacizumab in early-stage settings
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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