1,721,087 research outputs found

    Clinical management of alemtuzumab-induced autoimmune thyroid diseases: a narrative review

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    Alemtuzumab is a powerful anti-CD52 drug that is an established treatment option in patients with multiple sclerosis due to its proven efficacy. However, in about 50% of patients, the use of alemtuzumab is burdened by the development of secondary autoimmune thyroid diseases, constituting a range of alemtuzumab-induced autoimmune thyroid diseases (AIATDs). Graves’ disease (GD) is the most common AIATD, with an incidence of approximately 60%, and presents different characteristics from the conventional form. Indeed, GD with a fluctuating course is significantly more prevalent (15–50%), which poses a major challenge for physicians in its management. Other AIATDs also exhibit distinct features compared to their conventional counterparts; notably, hypothyroidism is frequently associated with TSH-receptor blocking antibodies, and alemtuzumab-induced GD demonstrates a higher rate of fluctuating course and potential for spontaneous remission. Alemtuzumab-induced thyroid eye disease (TED) is less common than conventional TED, with similar clinical and management characteristics. In this review, we summarize the latest evidence, also from real-world studies, with a focus on clinical management and possible predictors of AIATDs

    Epigenetic in medullary thyroid cancer: the role of microRNA in tumorigenesis and prognosis

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    PURPOSE OF REVIEW: MicroRNAs emerged as pivotal regulators of cell differentiation, growth, and cell death, suggesting their implication in tumorigenesis and prognosis of cancer. In the last decades, knowledge about the alterations of microRNAs in medullary thyroid cancer (MTC) is increasing. In this review, we try to summarize the most relevant findings regarding microRNA dysregulation in MTC. RECENT FINDINGS: A literature analysis was performed in MEDLINE for studies published up to August 2020. Comprehensively, at least 27 different microRNAs have been investigated in MTC showing evidence for overexpression or underexpression in comparison with normal thyroid tissue samples, healthy blood controls, or primary tumor site or hereditary form of MTC. We highlight the evidence in favor of a possible use of microRNAs for diagnosis, prognosis and treatment in MTC and their role in MTC pathogenesis. SUMMARY: This review reveals the emerging complexity of the molecular genetic and epigenetic panorama in MTC. Further studies are needed to confirm and refine the findings on microRNA expression pattern in MTC. Thus, in the future, microRNA analysis could enter in clinical practice and may pave the way to new risk-stratification tools and novel therapeutic approaches for MTC

    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

    General and split forms of some well-known s-domain algorithms

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    A common frame for some well-known algorithms for the stability analysis of continuous-time linear systems is derived. Specifically, a general polynomial recursion is given which includes as particular cases both Routh- and Levinson-type algorithms and is capable of generating new algorithms too. A systematic analysis of all possible corresponding split forms (three-term immittance-domain recurrence relations) is then carried out. This may allow one to clarify and compare the properties of the standard procedures

    Long-Term Outcome After Surgery for Medullary Thyroid Carcinoma: A Single-Center Experience

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    Background Medullary thyroid carcinoma (MTC) is a rare C cells-derived tumor, with a hardly predictable long-term prognosis. This study was aimed to evaluate the predictive factors of cure and survival after surgery for MTC in a monocentric series. Methods A retrospective analysis of the long-term outcomes was assessed in 255 MTC patients operated between 1980 and 2015 at Padua University hospital. Results Sporadic MTC occurred in 65.1% and hereditary MTC in 34.9% of patients. At a median follow-up of 93 months (range 7-430), the cure rate was 56.8%. The overall 10-year survival was 84.4%, and MTC-related death rate was 15.3%. Patients who died because of MTC had a median age of 61 years (range 21-84) and were at stages III-IV in all cases; deaths occurred in 18% of sporadic MTC, 6% of MEN2a and 66.7% of MEN2b patients. None of the patients at stages I-II died because of the disease, but 17.7% had persistent/recurrent disease. Based on univariate analysis, age, gender, genetic variant, extent and year of surgery, tumor size, lymph-nodal metastases and tumor stage significantly affected cure and survival rates. At multivariate analysis, only patient- and tumor-related features (age, lymph-nodal status and stage) remained significant independent prognostic factors. Conclusions Radical surgery is the only chance of definitive cure in MTC, but it is possible only at early stage; in advanced stages, even extensive surgery could not grant cure and prolonged survival. Stage, nodal metastases and age remain the main predictive factors for cure and survival

    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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