1,721,366 research outputs found
Lung Cancer Risk Prediction to Select Smokers for Screening CT-Response
No full texthttp://hdl.handle.net/20.500.11768/9647
Prognostic implication of Epidermal Growth Factor receptor immunoreactivity in squamous cell carcinoma of the oral mucosa
No full textEpidermal growth factor receptor immunoreactivity in squamous cell carcinomas of the oral mucosa
No full textIs response to antiviral treatment influenced by hepatitis B virus genotype?
Full text linkRecently released clinical practice guidelines and consensus conference statements point to the importane of hepatitis B virus (HBV) genotyping in therapeutic algorithms for the treatment of chronic hepatitis B. This information usually comes from post hoc analyses of clinical trials which were not designed to study associations with the HBV genotype. We have peformed a literature search through to April 2009 and have selected randomized clinical trials of currently approved anti-HBV drugs providing information on HBV genotypes and (i) baseline characteristics of study subjects, (ii) any response to antiviral therapy, (iii) interaction between HBV genotypes and the type of therapy. There were several intric features and weaknesses in majority of clinical trials conducted so far which make it difficult to reach firm conclusions about the role of HBV genotypes in response to antiviral therapy. Indeed most trials were necessarily multicenter in order to reach a sufficient statistical power, but pooling together patients of different ethnicities my have revealed false-positive associations between response to antiviral therapy and HBV genotype. Moreover, endpoint defintions, especially for the composite ones, varied substantially among studies, leading to lack of homogeneity. Finally, possible interactions between the type of therapy and the HBV genotype were only seldom analysed. The present review highlights several caveats regarding current indications proposed by the major clinical practice guidelines and consensus conference statements published thus far and emphasise the need for further long term studies in the field
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
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