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  • Balancing body and mind: selecting the optimal antipsychotic

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    Version of Record (VoR)
    Author(s)
    Siskind, D
    Kisely, S
    Griffith University Author(s)
    Kisely, Steve R.
    Year published
    2019
    Metadata
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    Abstract
    In The Lancet, Maximilian Huhn and colleagues5 report a network meta-analysis of antipsychotic medications for the acute management of schizophrenia that includes 402 studies of 32 different antipsychotics with data for 53 463 participants (mean age 37·40 years [SD 5·96], 29 949 [56·02%] male and 23 514 [43·98%] female, mean illness duration 11·90 years [SD 5·19]). This is the largest and most comprehensive meta-analysis of antipsychotic medication for acute psychosis to date. The use of a network meta-analysis allows comparisons between agents that might not have been directly compared in clinical trials. Other strengths ...
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    In The Lancet, Maximilian Huhn and colleagues5 report a network meta-analysis of antipsychotic medications for the acute management of schizophrenia that includes 402 studies of 32 different antipsychotics with data for 53 463 participants (mean age 37·40 years [SD 5·96], 29 949 [56·02%] male and 23 514 [43·98%] female, mean illness duration 11·90 years [SD 5·19]). This is the largest and most comprehensive meta-analysis of antipsychotic medication for acute psychosis to date. The use of a network meta-analysis allows comparisons between agents that might not have been directly compared in clinical trials. Other strengths include consideration of the placebo response rate, study sample size, publication year, baseline severity, sponsorship, comparability of doses, and patient demographics, using both meta-regression and sensitivity analyses of excluding poorer-quality studies. None of these factors greatly altered outcomes.
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    Journal Title
    The Lancet
    Volume
    394
    Issue
    10202
    DOI
    https://doi.org/10.1016/S0140-6736(19)32096-3
    Copyright Statement
    © The Author(s) 2019. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC BY-NC-ND 4.0) License, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Biomedical and clinical sciences
    Publication URI
    http://hdl.handle.net/10072/397350
    Collection
    • Journal articles

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