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Journal ArticleDOI

Comparative benefits and harms of second-generation antidepressants for treating major depressive disorder: an updated meta-analysis.

TLDR
Current evidence does not warrant recommending a particular second-generation antidepressant on the basis of differences in efficacy, but differences in onset of action and adverse events may be considered when choosing a medication.
Abstract
BACKGROUND: Second-generation antidepressants dominate the management of major depressive disorder (MDD), but evidence on the comparative benefits and harms of these agents is contradictory.PURPOSE ...

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The Mass Production of Redundant, Misleading, and Conflicted Systematic Reviews and Meta-analyses.

TL;DR: The growth of published systematic reviews and meta-analyses is explored and how often they are redundant, misleading, or serving conflicted interests is estimated.
References
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Journal ArticleDOI

Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication

TL;DR: Lifetime prevalence estimates are higher in recent cohorts than in earlier cohorts and have fairly stable intercohort differences across the life course that vary in substantively plausible ways among sociodemographic subgroups.
Journal ArticleDOI

Evaluating non-randomised intervention studies.

TL;DR: The inability of case-mix adjustment methods to compensate for selection bias and the inability to identify non- randomised studies that are free of selection bias indicate that non-randomised studies should only be undertaken when RCTs are infeasible or unethical.
Journal ArticleDOI

Selective Publication of Antidepressant Trials and Its Influence on Apparent Efficacy

TL;DR: A systematic literature search found that among 74 FDA-registered studies, 31%, accounting for 3449 study participants, were not published, and the increase in effect size ranged from 11 to 69% for individual drugs and was 32% overall.
Journal ArticleDOI

Combination of direct and indirect evidence in mixed treatment comparisons

TL;DR: A range of Bayesian hierarchical models using the Markov chain Monte Carlo software WinBUGS are presented that allow for variation in true treatment effects across trials, and models where the between-trials variance is homogeneous across treatment comparisons are considered.
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