130,880 research outputs found
MASLD is associated with an increased long-term risk of atrial fibrillation: an updated systematic review and meta-analysis
No full textBackground: studies have reported an association between metabolic dysfunction-associated steatotic liver disease (MASLD) and an increased risk of developing atrial fibrillation (AF). However, the magnitude of the risk and whether this risk varies with the severity of MASLD remains uncertain.Methods: in this systematic review and meta-analysis, we searched three large electronic databases using predefined keywords to identify cohort studies (published up to 30 September 2024) in which MASLD was diagnosed by liver biopsy, imaging methods, International Classification of Diseases (ICD) codes, or blood-based scores. The primary outcome was the occurrence of AF based on ICD codes, medical records, or electrocardiograms. Meta-analysis was performed using random-effects modelling.Results: we identified 16 retrospective cohort studies with aggregate data on ~19.5 million individuals followed for a median of 7.2 years. MASLD was significantly associated with an increased risk of developing incident AF (random-effects hazard ratio 1.20, 95% CI 1.10–1.32; I2 = 92%). This risk did not appear to further increase with the severity of liver fibrosis (n = 3 studies; random-effects hazard ratio 1.22, 95% CI 1.18–1.26; I2 = 10%). The risk of AF remained significant even after adjusting for age, sex, body mass index, hypertension, Type 2 diabetes or other cardiometabolic risk factors. Sensitivity analyses did not modify these findings. The funnel plot and Egger's test showed no significant publication bias.Conclusions: this updated and comprehensive meta-analysis provides evidence that MASLD is significantly associated with an increased long-term risk of developing incident AF. Further research is required to better decipher the link between MASLD and increased AF incidence
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Long-term treatment of osteoporosis: safety and efficacy appraisal of denosumab
No full textAthanasios D Anastasilakis,1 Konstantinos A Toulis,1 Stergios A Polyzos,2 Chrysostomos D Anastasilakis,3 Polyzois Makras41Department of Endocrinology, 424 General Military Hospital, 2Second Medical Clinic, Medical School, Aristotle University of Thessaloniki, Ippokration Hospital, 3Department of Pharmacology, 424 General Military Hospital, Thessaloniki; 4Department of Endocrinology and Diabetes, 251 Hellenic Air Force and VA General Hospital, Athens, GreeceAbstract: Denosumab is a fully human monoclonal antibody to the receptor activator of nuclear factor-κB ligand (RANKL), a member of the tumor necrosis factor receptor superfamily essential for osteoclastogenesis. Denosumab treatment is associated with a rapid, sustained, and reversible reduction in bone turnover markers, a continuous marked increase in bone mineral density at all sites, and a marked decrease in the risk of vertebral, hip, and nonvertebral fractures in women with postmenopausal osteoporosis. Therefore, it could be considered as an effective alternative to previous bisphosphonate treatment as well as first-line treatment of severe osteoporosis. Cost-effectiveness studies support this suggestion. In addition, denosumab seems to be the safest treatment option in patients with impaired renal function. Denosumab is characterized by reversibility of its effect after treatment discontinuation, in contrast with bisphosphonates. Large-scale clinical trials, including the extension of FREEDOM trial for up to 5 years, are reassuring for its safety. However, given its brief post-market period, vigilance regarding adverse events related to putative RANKL inhibition in tissues other than bone, as well as those related to bone turnover oversuppression, is advised.Keywords: adverse event, denosumab, efficacy, fracture, osteoporosis, safet
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
A MLPG4 (LBIE) Formulation in Elastostatics
No full textVery recently, Vavourakis, Sellountos and Polyzos (2006) ({CMES: Computer Modeling in Engineering {\&} Sciences, vol. 13, pp. 171--184}) presented a comparison study on the accuracy provided by five different elastostatic Meshless Local Petrov-Galerkin (MLPG) type formulations, which are based on Local Boundary Integral Equation (LBIE) considerations. One of the main conclusions addressed in this paper is that the use of derivatives of the Moving Least Squares (MLS) shape functions decreases the solution accuracy of any MLPG(LBIE) formulation. In the present work a new, free of MLS-derivatives and non-singular MLPG(LBIE) method for solving elastic problems is demonstrated. This is accomplished by treating displacements and stresses as independent variables through the corresponding local integral equations and considering nodal points located only internally and externally and not on the global boundary of the analyzed elastic structure. The MLS approximation scheme for the interpolation of both displacements and stresses is exploited. The essential displacement and traction boundary conditions are easily satisfied via the corresponding displacement and stress local integral equations. Representative numerical examples that demonstrate the achieved accuracy of the proposed MLPG(LBIE) method are provided
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