Newer antidepressant for Japanese adults with major depressive disorder: A systematic review and meta-analysis

Neuropsychopharmacol Rep. 2024 Mar;44(1):216-220. doi: 10.1002/npr2.12376. Epub 2023 Aug 30.

Abstract

Introduction: The question remains to be elucidated: "Is treatment with antidepressants at doses approved in Japan effective for Japanese patients with MDD?" It is crucial to confirm this in order to provide appropriate treatments for Japanese patients with major depressive disorder (MDD). Therefore, we conducted a systematic review and random-effects pairwise meta-analysis including these nine double-blind, randomized, placebo-controlled trials.

Methods: We calculated the standardized mean difference (SMD) and risk ratio (RR) with a 95% confidence interval (95% CI).

Results: Pooled newer antidepressants outperformed placebo regarding improvement of depressive symptom scale scores [SMD (95% CI) = -0.20 (-0.27, -0.12), p < 0.00001], response to treatment [RR (95% CI) = 1.23 (1.13, 1.32), p < 0.00001], and remission rate [RR (95% CI) = 1.30 (1.16, 1.45), p < 0.00001]. Although all-cause discontinuation was not significantly different between the treatment groups, the pooled antidepressant group showed a higher discontinuation rate due to adverse event [RR (95% CI) = 1.60 (1.13, 2.26), p = 0.007] and a higher incidence of at least one adverse event than the placebo group [RR (95% CI) = 1.13 (1.08, 1.18), p < 0.00001].

Discussion: We concluded that newer antidepressants are effective for Japanese adults with MDD although the clinicians must monitor the health conditions of these individuals.

Keywords: Japanese major depressive disorder; efficacy; newer antidepressant; safety; systematic review and meta-analysis.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Adult
  • Antidepressive Agents / therapeutic use
  • Depressive Disorder, Major* / drug therapy
  • Drug Therapy, Combination
  • Humans
  • Japan
  • Randomized Controlled Trials as Topic

Substances

  • Antidepressive Agents