Background: The recent meta-analysis by Furukawa et al. (The Lancet Psychiatry 2019, 6(7)) reported optimal doses for antidepressant treatment in adult major depressive disorder (MDD). The present reanalysis aimed to extend the previous work by adjusting optimal dosages in dependence on age. Methods: Dose and age effects were evaluated based on the same GRISELDA dataset by Cipriani et al. (The Lancet 2018, 391(10128)) comparing 21 antidepressants in MDD. Standard random-effects Bayesian network meta-analysis was adapted to estimate the combined covariate action of both covariates simultaneously using restricted cubic splines (RCS). Balanced treatment recommendations were evaluated between the primary outcomes efficacy (response), acceptability (dropout for any reason), and tolerability (dropout due to adverse events). Findings: The combined covariate action of dose and age reduced between-trial heterogeneity by 29% (efficacy), 51% (acceptability), and 59% (tolerability). Results suggested agomelatine and escitalopram as the best balanced antidepressants in terms of efficacy and tolerability that may be escalated until 80 mg/day fluoxetine equivalents (mg/day/FE) in patients aged 30-65 years. The antidepressants bupropion, citalopram, desvenlafaxine, duloxetine, fluoxetine, milnacipran, and vortioxetine may be escalated until 40 mg/day/FE, whereas amitriptyline, mirtazapine, nefazodone, paroxetine, sertraline, and venlafaxine may not be given in doses >20 mg/day/FE because of adverse events exceeding efficacy. The remaining antidepressants clomipramine, fluvoxamine, levomilnacipran, reboxetine, and trazodone revealed no relevant balanced benefits and may therefore not be recommended for antidepressant treatment. All antidepressants may require dose reductions both in patients aged 65 years. None of the antidepressants was observed to provide a balanced benefit in patients >70 years because of adverse events exceeding efficacy. Interpretation: Findings suggest that the combined covariate action of dose and age provides a better basis for judging the clinical benefit of antidepressant treatment recommendations than considering dose and age separately. The combined covariate action may thus inform decision makers to accurately guide dosing recommendations in antidepressant treatment in patient populations differing in age. Funding: No funding. Declaration of Interest: The author declares no competing interests. Ethical Approval Statement: Not applicable.
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