1,721,015 research outputs found
The importance of transaminases flare in liver elastography: Characterization of the probability of liver fibrosis overestimation by hepatitis C virus-induced cytolysis
Background: Liver stiffness measurement (LSM) is crucial for appropriate fibrosis staging in patients with ongoing hepatitis C virus (HCV) infection. However, there is still an ongoing debate on the impact of serum transaminases (aspartate-aminotransferase, AST; alanine-aminotransferase, ALT) on LSM. Methods: We selected 110 patients undergoing HCV eradication therapy with LSM compatible with significant liver fibrosis. LSM was evaluated prior to therapy and one year after HCV eradication. Results: LSM showed a median decrease of 35% from baseline values, and 67 (61%) patients showed posttreatment values compatible with lower fibrosis stages. We developed two logistic regression models to determine the probability of liver fibrosis overestimation according to serum transaminase. The probability of overestimation of two or more fibrosis grade is equal to (1) 50% for AST of 99 IU/L (2.2 ULN) and ALT of 90.5 IU/L (2 ULN), (2) 80% for AST of 123.5 IU/L (2.74 ULN) and ALT of 101.5 IU/L (2.25 ULN), and (3) reaches 100% for AST of 211 IU/L (4.7 ULN) and ALT of 140 IU/L (3.1 ULN). Conclusions: This study highlights the impact of serum transaminases on LSM. We believe that our findings may serve as a reference point for appropriate fibrosis stratification by liver elastography in patients with HCV infection
Incidence and natural course of fatty liver in the general population: The Dionysos study
Abstract: Using the general population of the Dionysos Study, we followed up 144 subjects without fatty liver (FL-) and 336 with fatty liver (FL+) for a median time of 8.5 years. All subjects had suspected liver disease (SLD) defined as altered liver enzymes, high mean corpuscular volume, or low platelet count in the absence of HBV and HCV infection. Ethanol intake was assessed using a food frequency questionnaire, and FL was diagnosed using ultrasonography. The incidence and remission rates of FL were 18.5 and 55.0 per 1,000 person-years. Progression to cirrhosis or HCC was rare in both cohorts (incidence rate: 1.7 versus 1.1 and 0.8 versus 0.4 per 1,000 person-years for FL- versus FL+). Multivariable Poisson regression was performed to identify predictors of FL incidence and remission among sex, age, body mass index, ethanol, and liver enzymes. Every increase of 20 g/day of ethanol intake at baseline was associated with a 17% increase in the rate of incident FL (P = 0.019), a 10% decrease in the rate of remitting FL and SLD (P = 0.043), a 19% decrease in the rate of remitting FL with persistent SLD (P = 0.002), and a 10% increase in mortality rate (P = 0.005) in the FL+ cohort. Conclusion: In the general population of the Dionysos Study, FL regressed in nearly I of every 2 cases and had a substantially benign course. Ethanol intake was the most important risk factor for FL remission and incidence and a predictor of mortality in subjects with FL
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
Optimizing AI Performance for Autoimmune Hepatitis Guidelines: A Case Study on Enhanced GPT Model Accuracy
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
Strategies in the study of hepatocellular carcinoma worldwide
Hepatocellular carcinoma (HCC) is a widespread disease
all over the world, its annual incidence being estimated
between 0.25 and 1 million new cases per year [ 11.
HCC is a sex-linked disease, with a significantly higher
frequency in males [2]. The figure observed in each geographical
region is different, and depends mainly on the
basis of collection of the data (hospital, population, autopsy
register, etc.). However, when dealing with large
numbers and/or with a rather frequent disease, such as
liver carcinoma, the bias related to the above-mentioned
factors may be minimized
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