Michaela-Elena Friedrich

Medical University of Vienna, Wien, Vienna, Austria

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Publications (2)5.82 Total impact

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    ABSTRACT: Recent epidemiological data have shown a significant increase in the prevalence of syphilis. If left untreated, up to 30 % of patients may develop tertiary syphilis, which can manifest as neurosyphilis. The aim of our review is to evaluate psychiatric manifestations of neurosyphilis according to ICD-10. A systematic electronic search for published studies (1995-2010) was performed using the databases Medline, Embase, Cochrane as well as the search engines Scopus and Google Scholar. 113 studies were used for detailed analysis. Clinical manifestations of various forms of neurosyphilis are protean, numerous and non-specific and could be on the differential diagnosis for many psychiatric presentations according to ICD-10. Due to our results, the difficulties in diagnosing syphilis and current epidemiological data, routine screening tests are still mandatory in the psychiatric field. Further, neurosyphilis still has to be considered in the differential diagnosis within the context of psychiatric conditions and diseases.
    Psychiatrische Praxis 11/2011; 39(1):7-13. DOI:10.1055/s-0031-1276935 · 1.64 Impact Factor
  • Wolfgang Huf · Klaudius Kalcher · Gerald Pail · Michaela-Elena Friedrich · Peter Filzmoser · Siegfried Kasper ·
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    ABSTRACT: Widespread use of increasingly complex statistical methods makes it ever more challenging to adequately assess the results reported and conclusions drawn in meta-analytic research. This paper aims to identify potential fallacies by in-depth examination of recent publications on mood disorders. Three meta-analyses were selected based on availability of data and representativeness of methods employed. By means of detailed re-analysis, several widespread methodological problems were identified, and the example data were used to illustrate and discuss them. General points addressed include clear formulation of the research question, choice of effect size measures, and general choice of model. Data quality problems like missing data and publication bias are discussed along with methods to deal with them. Furthermore, aspects of meta-analytic modelling like the use of fixed or random effects, data aggregation, as well as the use of subgroups are explained, and issues of excessive complexity and data dredging pointed out. Finally, the benefit of diagnostic tools like confidence bands and the importance of transparency regarding data and methodology for the interpretation of meta-analytic results are highlighted. Practically relevant quality criteria for readers to bear in mind when dealing with meta-analytic publications are summarized in a ten point checklist.
    The World Journal of Biological Psychiatry 03/2011; 12(3):188-200. DOI:10.3109/15622975.2010.551544 · 4.18 Impact Factor