1,720,977 research outputs found

    Cancer Metabolism - Plasma metabolites as first-line responders in lung cancer; plasma metabolite biomarkers for improved lung cancer diagnosis in patients with solitary pulmonary nodules

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    Plasma metabolite biomarkers for improved lung cancer diagnosis in patients with solitary pulmonary nodules Solitary pulmonary nodule Screening Specificity = 96% Sensitivity = 23

    Unraveling the Rewired Metabolism in Lung Cancer Using Quantitative NMR Metabolomics

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    Lung cancer cells are well documented to rewire their metabolism and energy production networks to enable proliferation and survival in a nutrient-poor and hypoxic environment. Although metabolite profiling of blood plasma and tissue is still emerging in omics approaches, several techniques have shown potential in cancer diagnosis. In this paper, the authors describe the alterations in the metabolic phenotype of lung cancer patients. In addition, we focus on the metabolic cooperation between tumor cells and healthy tissue. Furthermore, the authors discuss how metabolomics could improve the management of lung cancer patients

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

    The impact of lung surgery, with or without (neo-)adjuvant therapy, on physical functioning in patients with nonsmall cell lung cancer: a scoping review

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    Background Patients with early stage (I–IIIA) nonsmall cell lung cancer (NSCLC) are typically treated via surgery, often accompanied by (neo-)adjuvant therapy. These interventions impose a significant burden on patients and potentially impact their physical functioning (PF). The impact on PF remains uncertain and existing evidence has not yet been systematically outlined. Objective This scoping review aimed to synthesise evidence concerning the effects of lung surgery, with or without (neo-)adjuvant therapy, on the PF of patients with NSCLC. Methods PubMed, Web of Science and Cochrane databases were systematically searched from inception until 1 July 2023. A comprehensive framework based on the International Classification of Functioning, Disability, and Health was used to define various aspects of PF. Longitudinal studies, reporting PF prior to and after NSCLC treatment, and cross-sectional studies reporting PF after treatment were included. Results 85 included studies assessed the effects of surgery with (n=7) or without (n=78) (neo-) adjuvant therapy on body function (n=29), activity (n=67) and/or participation (n=15). 98% of reported outcomes within the longitudinal studies indicate a decline in PF, with 52% demonstrating significant deteriorations, with follow-up times ranging from immediately post-operative up to 1 year after treatment. Cross-sectional studies show impaired PF in 71% of reported outcomes. Conclusion PF of patients with NSCLC tends to deteriorate following lung surgery, irrespective of additional (neo-)adjuvant therapy. While the negative impact of lung surgery on ICF categories of “body function” and “activity” have been described to some depth, insights into the impact on “participation” are lacking

    Dispelling the Myths Behind First-author Citation Counts

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    We 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
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