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Efficacy and dose-response relationships of antidepressants in the acute treatment of major depressive disorders: a systematic review and network meta-analysis.
Zhou, Shuzhe; Li, Pei; Lyu, Xiaozhen; Lai, Xuefeng; Liu, Zuoxiang; Zhou, Junwen; Liu, Fengqi; Tao, Yiming; Zhang, Meng; Yu, Xin; Tian, Jingwei; Sun, Feng.
Affiliation
  • Zhou S; Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing 100191, China.
  • Li P; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
  • Lyu X; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Lai X; Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing 100191, China.
  • Liu Z; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
  • Zhou J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Liu F; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Tao Y; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Zhang M; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Yu X; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Tian J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Sun F; Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing 100191, China.
Chin Med J (Engl) ; 2024 Jun 20.
Article in En | MEDLINE | ID: mdl-38902199
ABSTRACT

BACKGROUND:

The optimal antidepressant dosages remain controversial. This study aimed to analyze the efficacy of antidepressants and characterize their dose-response relationships in the treatments of major depressive disorders (MDD).

METHODS:

We searched multiple databases, including the Embase, Cochrane Central Register of Controlled Trials, PubMed, and Web of Science, for the studies that were conducted between January 8, 2016, and April 30, 2023. The studies are double-blinded, randomized controlled trials (RCTs) involving the adults (≥18 years) with MDD. The primary outcomes were efficacy of antidepressant and the dose-response relationships. A frequentist network meta-analysis was conducted, treating participants with various dosages of the same antidepressant as a single therapy. We also implemented the model-based meta-analysis (MBMA) using a Bayesian method to explore the dose-response relationships.

RESULTS:

The network meta-analysis comprised 135,180 participants from 602 studies. All the antidepressants were more effective than the placebo; toludesvenlafaxine had the highest odds ratio (OR) of 4.52 (95% confidence interval [CI] 2.65-7.72), and reboxetine had the lowest OR of 1.34 (95%CI 1.14-1.57). Moreover, amitriptyline, clomipramine, and reboxetine showed a linear increase in effect size from low to high doses. The effect size of toludesvenlafaxine increased significantly up to 80 mg/day and subsequently maintained the maximal dose up to 160 mg/day while the predictive curves of nefazodone were fairly flat in different dosages.

CONCLUSIONS:

Although most antidepressants were more efficacious than placebo in treating MDD, no consistent dose-response relationship between any antidepressants was observed. For most antidepressants, the maximum efficacy was achieved at lower or middle prescribed doses, rather than at the upper limit.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Chin Med J (Engl) Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Chin Med J (Engl) Year: 2024 Document type: Article Affiliation country: China
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