Evidence map›Paper›PMID 38356727›Full record

ArticleEClinicalMedicine2024

Comprehensive evaluation of 45 augmentation drugs for schizophrenia: a network meta-analysis.

Damien Etchecopar-Etchart, Dong Keon Yon, Piotr Wojciechowski, Samuel Aballea, Mondher Toumi, Laurent Boyer, Guillaume Fond

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Antidepressant Augmentation of Antipsychotic Treatment in Schizophrenia: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
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

7 authors at 2 institutions in 2 countries.

Damien Etchecopar-EtchartUR3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Dong Keon YonDepartment of Pediatrics, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
Piotr WojciechowskiAssignity, 30-415, Krakow, Poland.
Samuel AballeaInovIntell, Rotterdam, Zuid-Holland, Netherlands.
Mondher ToumiUR3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Laurent BoyerUR3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Guillaume FondUR3279, CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Aix-Marseille Université · FRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antipsychotics are the gold standard treatment for schizophrenia, but many patients who receive treatment experience persistent symptoms. The aim of this network meta-analysis was to determine the efficacy of augmentation drugs for the treatment of schizophrenia. Methods: In accordance with the PRISMA statement, the PubMed, Web of Science, Google Scholar, CENTRAL, clinical trial and EUDRACT databases were searched from inception to May 15th, 2023. To ensure the robustness of the results, only double-blind randomised controlled trials with a low risk of bias (measured by the Risk Of Bias v2 (ROB2) tool) were included. The studies were categorised according to the background regimen: participants were treated with risperidone, mixed antipsychotics or clozapine. A Bayesian network meta-analysis was conducted using a random effects model. PROSPERO register: CRD42023420964. Findings: A total of 44 trials (comprising 45 augmentation drugs and 3358 participants) were included in the analysis. One-third of the drugs (16 drugs) demonstrated significant efficacy vs. placebo for at least one outcome. The most notable effect sizes (ESs) were observed for the use of tropisetron (standard mean difference: -0.83 [95% interval confidence -1.12 to -0.55]), memantine (-0.50 [-0.66 to -0.32]) and minocycline (-0.56 [-0.72 to -0.39]) to treat negative symptoms among patients treated with risperidone (moderate-to-high ESs). Studies involving mixed antipsychotics yielded lower ESs (small-to-moderate). Sodium benzoate (-0.41 [-0.60 to -0.21]) and memantine (-0.23 [-0.36 to -0.11]) were found have significant effects on positive symptoms, while memantine demonstrated efficacy for negative symptoms (-0.32 [-0.45 to -0.19]) and general psychopathology (-0.32 [-0.44 to -0.20]). Studies focusing exclusively on patients treated with clozapine revealed that duloxetine produced the best results (negative symptoms: -1.12 [-1.35 to -0.91]). Sodium benzoate was the only augmentation drug that demonstrated efficacy in relieving persistent positive symptoms (-0.32 [-0.59 to -0.08]) among patients treated with clozapine. Treatment with clozapine in combination with antipsychotics yielded small-to-moderate ESs. Interpretation: The GRADE framework indicated that the quality of the evidence among the included studies was moderate, primarily due to the limited number of randomised controlled trials with a low risk of bias. Important drugs did not appear in these results due to insufficient low-risk-of-bias data for these medications. These results highlight new pathways for treating schizophrenia that should be incorporated into future guidelines after further validation. Funding: No funding.

Indexed as

AntipsychoticAugmentationMental healthPsychiatrySchizophrenia

Identifiers

PMID38356727
PMCPMC10864200
OpenAlexW4391625652

What OpenQuestion 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 OpenQuestion graph.