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Sexual Dysfunction associated with Second-Generation Antidepressants in Patients with Major Depressive Disorder: Results from a Systematic Review with Network Meta-Analysis

Reichenpfader, Ursula (author)
Linköpings universitet,Avdelningen för samhällsmedicin,Hälsouniversitetet
Gartlehner, Gerald (author)
Danube University of Krems, Austria RTI Int, NC 27709 USA
Morgan, Laura C. (author)
RTI Int, NC 27709 USA
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Greenblatt, Amy (author)
RTI Int, NC 27709 USA
Nussbaumer, Barbara (author)
Danube University of Krems, Austria
Hansen, Richard A. (author)
Auburn University, AL 36849 USA
Van Noord, Megan (author)
Danube University of Krems, Austria RTI Int, NC 27709 USA
Lux, Linda (author)
RTI Int, NC 27709 USA
Gaynes, Bradley N. (author)
University of N Carolina, NC 27599 USA
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 (creator_code:org_t)
2013-12-13
2014
English.
In: Drug Safety. - : Adis. - 0114-5916 .- 1179-1942. ; 37:1, s. 19-31
  • Journal article (peer-reviewed)
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  • Sexual dysfunction (SD) is prevalent in patients with major depressive disorder (MDD) and is also associated with second-generation antidepressants (SGADs) that are commonly used to treat the condition. Evidence indicates under-reporting of SD in efficacy studies. SD associated with antidepressant treatment is a serious side effect that may lead to early termination of treatment and worsening of quality of life. Our objective was to systematically assess the harms of SD associated with SGADs in adult patients with MDD by drug type. We retrieved English-language abstracts from PubMed, EMBASE, the Cochrane Library, PsycINFO, and International Pharmaceutical Abstracts from 1980 to October 2012 as well as from reference lists of pertinent review articles and grey literature searches. Two independent reviewers identified randomized controlled trials (RCTs) of at least 6 weeks duration and observational studies with at least 1,000 participants. Reviewers abstracted data on study design, conduct, participants, interventions, outcomes and method of SD ascertainment, and rated risk of bias. A senior reviewer checked and confirmed extracted data and risk-of-bias ratings. Random effects network meta-analysis using Bayesian methods for data from head-to-head trials and placebo-controlled comparisons; descriptive analyses calculating weighted mean rates from individual trials and observational studies. Data from 63 studies of low and moderate risk of bias (58 RCTs, five observational studies) with more than 26,000 patients treated with SGADs were included. Based on network meta-analyses of 66 pairwise comparisons from 37 RCTs, most comparisons showed a similar risk of SD among included SGADs. However, credible intervals were wide and included differences that would be considered clinically relevant. We observed three main patterns: bupropion had a statistically significantly lower risk of SD than some other SGADs, and both escitalopram and paroxetine showed a statistically significantly higher risk of SD than some other SGADs. We found reporting of harms related to SD inconsistent and insufficient in some trials. Most trials were conducted in highly selected populations. Search was restricted to English-language only. Because of the indirect nature of the comparisons, the often wide credible intervals, and the high variation in magnitude of outcome, we rated the overall strength of evidence with respect to our findings as low. The current degree of evidence does not allow a precise estimate of comparative risk of SD associated with a specific antidepressant. In the absence of such evidence, clinicians need to be aware of SD as a common adverse event and should discuss patients preferences before initiating antidepressant therapy.

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MEDICIN

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