1,721,122 research outputs found
Cancer risk among patients with type 2 diabetes mellitus: A population-based cohort study in northeastern Italy
Diabetes mellitus (DM) is associated with an elevated risk of cancer. The aim of this study was to assess cancer risk and survival in individuals with type 2 DM (T2DM) in Friuli Venezia Giulia, Italy. A retrospective population-based cohort study of 32,247 T2DM patients aged 40–84 years was conducted through a record linkage of local healthcare databases and cancer registry for the period 2002–2009. Standardized incidence ratios (SIRs) with 95% confidence intervals (95%CIs) and 5-year survival probabilities after T2DM and cancer diagnosis were computed. The SIRs for all cancers (n = 2069) was 1.28 (95%CI: 1.23–1.34). The highest SIRs were observed for cancers of the liver, female genital organs, small intestine, and pancreas. After 3 years from T2DM diagnosis, a reduced risk of prostate cancer (SIR = 0.73, 95%CI: 0.54–0.96) was found in men aged 65–74 years, and a higher risk for breast cancer (SIR = 1.24, 95%CI: 1.00–1.52) was found among T2DM female patients. The overall 5-year survival after T2DM was 88.7%. Furthermore, T2DM appeared to have a negative effect on survival of women with breast cancer. This population-based study confirmed that T2DM patients are at increased risk of several cancers, and of premature death in women with breast cancer
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Immunohistochemical evaluation of vitamin D receptor (VDR) expression in cutaneous melanoma tissues and four VDR gene polymorphisms
ObjectiveVitamin D receptor (VDR) mediates vitamin D activity. We examined whether VDR expression in excised melanoma
tissues is associated with VDR gene (VDR) polymorphisms.
MethodsWe evaluated VDR protein expression (by monoclonal antibody immunostaining), melanoma characteristics, and
carriage of VDR-FokI-rs2228570 (C>T), VDR-BsmI-rs1544410 (G>A), VDR-ApaI-rs7975232 (T>G), and VDR-TaqI-rs731236
(T>C) polymorphisms (by restriction fragment length polymorphism). Absence or presence of restriction site was denoted by a
capital or lower letter, respectively: “F” and “f” for FokI, “B” and “b” for BsmI, “A” and “a” for ApaI, and “T” and “t” for TaqI
endonuclease. Seventy-four Italian cutaneous primary melanomas (52.1±12.7 years old) were studied; 51.4% were Stage I, 21.6%
Stage II, 13.5% Stage III, and 13.5% Stage IV melanomas. VDR expression was categorized as follows: 100% positive vs. <100%;
over the median 20% (high VDR expression) vs. ≤20% (low VDR expression); absence versus presence of VDR-expressing cells.
ResultsStage I melanomas, Breslow thickness of <1.00 mm, level II Clark invasion, Aa heterozygous genotype, and AaTT
combined genotype were more frequent in melanomas with high versus low VDR expression. Combined genotypes BbAA, bbAa,
AATt, BbAATt, and bbAaTT were more frequent in 100% versus <100% VDR-expressing cells. Combined genotype AATT was
more frequent in melanomas lacking VDR expression (odds ratio=14.5; P=0.025). VDR expression was not associated with
metastasis, ulceration, mitosis >1, regression, tumor-infiltrating lymphocytes, tumoral infiltration of vascular tissues, additional
skin and non-skin cancers, and melanoma familiarity.
ConclusionsWe highlighted that VDR polymorphisms can affect VDR expression in excised melanoma cells. Low VDR expression
in AATT carriers is a new finding that merits further study. VDR expression possibly poses implications for vitamin D
supplementation against melanoma. VDR expression and VDR genotype may become precise medicinal tools for melanoma in the
future
Dispelling the Myths Behind First-author Citation Counts
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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.
Author-wise bibliometric analysis based on entropy.</p
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