Evidence map›Paper›PMID 38902199›Full record

SynthesisChinese medical journal2025

Efficacy and dose-response relationships of antidepressants in the acute treatment of major depressive disorders: a systematic review and network meta-analysis.

Shuzhe Zhou, Pei Li, Xiaozhen Lyu, Xuefeng Lai, Zuoxiang Liu, Junwen Zhou, Fengqi Liu, Yiming Tao, Meng Zhang, Xin Yu and 2 more

Abstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Chinese medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Shuzhe ZhouPeking University Sixth Hospital, Peking University Institute of Mental Health, Beijing 100191, China.
Pei LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Xiaozhen LyuPeking University Sixth Hospital, Peking University Institute of Mental Health, Beijing 100191, China.
Xuefeng LaiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Zuoxiang LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Junwen ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Fengqi LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Yiming TaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Meng ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Xin YuPeking University Sixth Hospital, Peking University Institute of Mental Health, Beijing 100191, China.
Jingwei TianSchool of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong 264005, China.
Feng SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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).

methodsWe 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.

resultsThe 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.

conclusionsAlthough 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. REGISTRATION: No. CRD42023427480; https://www.crd.york.ac.uk/prospero/display_record.php?

Indexed as

Antidepressive AgentsMajor Depressive DisorderDose-Response Relationship, DrugHumansRandomized Controlled Trials as TopicAntidepressive AgentsAntidepressantsDose–responseEfficacyMajor depressive disorders

Identifiers

PMID38902199
PMCPMC12180811

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.