1,721,156 research outputs found
Commentary. Collaborative care involving pharmacotherapy was cost effective for increasing anxiety free days in panic disorder
No full textDrug-induced depression. A systematic review to inform clinical practice
No full textBACKGROUND:Certain medications may contribute to the etiology of depressive symptoms and disorders. Research in this area, however, has been hampered by methodological and conceptual problems. This review had two objectives: to identify evidence linking medical drugs to depressive symptoms and disorders, and to summarize this evidence in a clinically meaningful way.METHODS:Electronic literature searches were performed and studies were reviewed with reference to critical methodological features.RESULTS:No medications causing the typical major depressive syndrome were identified. Evidence was found linking corticosteroids, interferon-alpha, interleukin-2, gonadotropin-releasing hormone agonists, mefloquine, progestin-releasing implanted contraceptives and propranolol to the etiology of atypical depressive syndromes.CONCLUSIONS:A small number of drugs have been shown capable of inducing depressive symptoms. Drug-induced depression appears to differ symptomatically from classical major depression
Antidepressant dose and the risk of deliberate self-harm
No full textAlthough the mechanism by which antidepressants (ADs) may increase the risk of suicide-related outcomes is unknown, it has been hypothesised that some adverse effects, including akathisia, insomnia and panic attacks, as well as an early energising effect that might allow patients with depression to act on suicidal impulses, may have a key role. Considering that these adverse effects are dose-related, it might be hypothesised that the risk of suicidal behaviour is similarly related to the AD dose. This research question has recently been addressed by a propensity score-matched observational cohort study that involved 162 625 patients aged 10-64 years with a depression diagnosis who initiated therapy with citalopram, sertraline or fluoxetine. In this commentary, we discuss the main findings of this study in view of its methodological strengths and limitations, and we suggest possible implications for day-to-day clinical practice
Safety of psychotropic medicines: looking beyond randomised evidence
No full text[no abstract available
Patterns of benzodiazepine use in a Canadian population sample
No full textAim - The objective of this study was to identify clinical and demographic factors that may be associated with benzodiazepine treatment, to describe the reported reasons for use of these medications and to appraise the pattern of use in relation to standard guidelines in a general population sample. Methods - Telephone survey methods were employed to select a sample of 3345 people between the ages of 18 and 64. A computer assisted telephone interview, including the Mini Neuropsychiatric Diagnostic Interview (MINI), was administered. Estimates were weighted for design features and population demographics. Results - The overall prevalence of benzodiazepines use was 3.3% (95% confidence interval [CI] 2.6 to 4.1%). There was a higher frequency of medication use in women than men, among respondents who were widowed, separated or divorced, and those with lower levels of education. In relation to MINI diagnosis, diagnoses of Panic Disorder and Major Depression increased the probability of taking benzodiazepines. The reported main reason for use was "Sleep disorders" (68.9%), "Anxiety" (35.8%), "Depression" (27.8%) and "Pain management" (21.2%). More than 80% of subjects were taking benzodiazepines for more than one year. Conclusions - When compared to previous estimates, the lower frequency of benzodiazepines use suggests that there has been improvement in their evidence-based use at a population level. However our results once more confirm the difficulty stopping the use of these medications once they have been started. Further randomized control studies may help clinicians in having a better practical approach to rational benzodiazepine use
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
International dose differences in fluoxetine clinical trials conducted in patients with depression
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