1,721,346 research outputs found
Medical statistics: from teaching demand to training needs | [Statistica medica: dalla domanda di insegnamento ai bisogni formativi.]
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alcoholic liver cirrhosis after the advent of hepatits C virus: some reflections on its epidemiology and on the concept of attributable risk
No full textScreening prevaccinale antiepatite B: proposta di un metodo di valutazione dell'efficienza della strategia
No full textUse of antidepressants and the risk of cardiovascular and cerebrovascular disease: a meta-analysis of observational studies
No full textPurpose: This study aims to systematically review studies quantifying the associations between antidepressants (ADs) use and the risk of cardiovascular (CV) outcomes. Methods: Medline was searched to October 2015 for full text articles in English. Prospective cohort and case-control studies were admitted if they investigated the relationship between current use of ADs as a whole, tricyclic antidepressants (TCAs) or selective serotonin reuptake inhibitors (SSRIs), and the onset CV events. Summary relative risks (RRs) with confidence intervals (CIs) were calculated using random-effects or fixed-effects models. Results: A total of 99,367 incident cases of CV outcomes who met inclusion criteria were identified from 22 observational studies. Compared with no users of ADs, use of SSRIs was associated with an increased risk of cerebrovascular disease (RRs, 1.24; 95% CI, 1.15 to 1.34), while the use of TCA was associated with an increased risk of acute heart disease (RRs, 1.29; 95% CI, 1.09 to 1.54). Conclusions: The results of this meta-analysis have to be taken with caution because even though an increased risk of cerebrovascular and acute heart disease was observed respectively in SSRIs and TCA users, the estimates are characterized by a high between study heterogeneity. Moreover, it was not possible to distinguish between the effects of ADs and depression itself. Further well-designed studies are required to confirm this associatio
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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