Evidence map›Paper›PMID 26825886›Full record

SynthesisMedicine2016

Significant Effect of Valproate Augmentation Therapy in Patients With Schizophrenia: A Meta-analysis Study.

Ping-Tao Tseng, Yen-Wen Chen, Weilun Chung, Kun-Yu Tu, Hung-Yu Wang, Ching-Kuan Wu, Pao-Yen Lin

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.8field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Epigenetic Control in Schizophrenia.Sub-cellular biochemistry · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Hippocampal circuit dysfunction in psychosis.Translational psychiatry · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Antipsychotic Polypharmacy.Focus (American Psychiatric Publishing) · 2020
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Prospects for Medications to Reverse Causative Epigenetic Processes in Neuropsychiatry Disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
    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

7 authors at 1 institution in 1 country.

Ping-Tao TsengFrom the Department of Psychiatry, Tsyr-Huey Mental Hospital, Kaohsiung Jen-Ai's Home, Taiwan (P-TT, WC, K-YT, H-YW, C-KW); Department of Neurology, E-Da Hospital, Kaohsiung, Taiwan (Y-WC); Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (P-YL); and Institute for Translational Research in Biomedical Sciences, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan (P-YL).
Yen-Wen Chen
Weilun Chung
Kun-Yu Tu
Hung-Yu Wang
Ching-Kuan Wu
Pao-Yen Lin
KW Engineering (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Valproate is an anticonvulsant, which is also widely used for treating psychiatric disorders. Some clinical trials have demonstrated benefits of valproate augmentation therapy in schizophrenia. Previous meta-analysis showed inconsistent findings because of limited literature at that time. The aim of this study is to update the newer published data by conducting a meta-analysis of clinical efficacy of valproate augmentation therapy in patients with schizophrenia or schizoaffective disorder. Data sources include electronic research through platform of PubMed. Study eligibility criteria, participants, and interventions were as follows: the inclusion criteria included articles discussing comparisons of the treatment effect in schizophrenic patients treated with antipsychotic augmented with valproate and antipsychotics with/without placebo; articles on clinical trials in humans. The exclusion criteria were case reports or series and nonclinical trials. We compared the effect between antipsychotic treatment with valproate augmentation and antipsychotic monotherapy. Data from clinical trials were pooled by random-effects model, and possible confounding variables were examined through meta-regression and subgroup analysis. Data from 11 articles including 889 patients were included into current meta-analysis. We found patients treated with antipsychotics with valproate augmentation showed significantly more improvement in total psychopathology than those treated with antipsychotics only (P = 0.02). Results from open trials, but not from randomized controlled trials (P = 0.20), showed significant improvement (P = 0.01). In addition, the significance only persisted in the studies conducted with a shorter treatment duration (P < 0.001) rather than longer treatment duration (P = 0.23). There is no difference in the dropout rate between valproate augmentation and antipsychotic treatment only (P = 0.14). We could not perform a detailed meta-analysis for every category of antipsychotics, long-term effect, and safety profiles of valproate augmentation therapy in maintenance treatment, safety in pregnant patients, and subtype of schizophrenia. Our meta-analysis highlights the significantly better treatment effect with valproate augmentation therapy in patients with schizophrenia or schizoaffective disorder, and provides important evidence for supporting the practice of valproate augmentation therapy in these patients.

Indexed as

AnticonvulsantsAntipsychotic AgentsDrug SynergismDrug Therapy, CombinationHumansPsychotic DisordersSchizophreniaValproic AcidAnticonvulsantsAntipsychotic AgentsValproic Acid

Identifiers

PMID26825886
PMCPMC5291556
OpenAlexW2318254134

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.