1,720,977 research outputs found
Thyroid function in patients with newly diagnosed prostate cancer
U ovom istraživanju proučavala se povezanost trijodtironina (T3), slobodne frakcije tiroksina (fT4) te tireotropina (TSH) s diferenciranošću karcinoma prostate. Postavljena je hipoteza da su koncentracije T3 i fT4 veće, dok je koncentracija TSH manja u bolesnika sa slabije diferenciranim karcinomom.
Ciljevi istraživanja bili su ustanoviti povezanost funkcije štitnjače i karcinoma prostate te otkrivanje mogućeg biomarkera slabije diferenciranosti, odnosno agresivnijeg oblika karcinoma. Dodatni ciljevi bili su utvrditi razliku u postotku tumora u tkivu prostate i patološkom T stadiju bolesti po radikalnoj prostatektomiji između skupina ispitanika s bolje i slabije diferenciranim karcinomom prostate.
Ukupan broj ispitanika bio je 140, od kojih je 10 isključeno iz istraživanja zbog novootkrivene bolesti štitnjače, a pet zbog odustanka urologa i/ili ispitanika od zahvata.
Ispitanici su podijeljeni u dvije skupine prema postoperativnom patohistološkom nalazu. Prvu skupinu (N=62) su činili bolesnici s karcinomom prostate Grade grupa 1 i 2 (bolje diferencirani karcinomi) a drugu skupinu (N=63) bolesnici s karcinomom prostate Grade grupa 3, 4 i 5 (slabije diferencirani karcinomi).
Ustanovljeno je da je serumska koncentracija T3 statistički značajno veća u skupini ispitanika sa slabije diferenciranim karcinomom prostate (P=0,047). Ne postoji statistički značajna razlika u serumskim koncentracijama fT4 i TSH među dvjema skupinama ispitanika (P=0,68, P=0,801). Postotak tumora u tkivu prostate statistički je značajno veći u skupini ispitanika sa slabije diferenciranim karcinomom prostate (P<0,001). Isto tako, pT3 stadij bolesti je zastupljeniji u navedenoj skupini (P<0,001).
T3 se nameće kao potencijalni biomarker slabije diferenciranosti karcinoma prostate, odnosno agresivnijeg oblika karcinoma, što je potrebno potvrditi studijama na većem broju ispitanika.In this research, we studied the correlation of total triiodothyronine (T3), free fraction of the thyroxine (fT4), and thyrotropin (TSH) with prostate cancer (PCa) differentiation. We set the hypothesis that concentrations of T3 and fT4 are higher, while the TSH concentration is lower in patients with poorly differentiated PCa.
Our goals were to determine the relationship between thyroid function and PCa, to detect the possible biomarkers of poorly differentiated PCa, and to determine the difference in the tumor percentage involvement (TPI) and pathological T (pT) stage of disease between the subjects with well-differentiated and poorly differentiated PCa.
The total number of subjects was 140. Ten subjects were excluded from the study due to newly detected thyroid disease and 5 because of the withdrawal from the surgery. Subjects were divided into two groups according to postoperative histopathology. In the first group (N=62) there were patients with PCa Grade Groups 1 and 2 (well-differentiated cancer), while the second (N=63) group included patients with PCa Grade Groups 3, 4 and 5 (poorly differentiated cancer).
Serum T3 concentration was significantly higher in poorly differentiated cancer group (P=0,047). There was no significant difference in concentrations of fT4 and TSH between the two groups (P=0,680, P=0,801, respectively). The TPI was significantly higher in poorly differentiated cancer group (P<0,001). Also, the pT3 stage of disease was more prevalent in the same group (P<0,001).
T3 could serve as a potential biomarker of poorly differentiated PCa. However, larger studies should be conducted to confirm these findings
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
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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