Efficacy and acceptability of long-acting antipsychotics in acutely ill individuals with schizophrenia-spectrum disorders: A systematic review and network meta-analysis.
Giovanni VitaDemetrio PolliniAndrea CanozziDavide PapolaChiara GastaldonChristoph U CorrellCorrado BarbuiGiovanni OstuzziPublished in: Psychiatry research (2024)
To assess the effect of Long-acting injectable (LAI) antipsychotics in acutely ill patients, we systematically searched major databases for randomized controlled trials (RCTs) comparing LAIs with other LAIs, oral antipsychotics, or placebo in acutely symptomatic adults with schizophrenia-spectrum disorders. Data were analyzed with a random-effects network meta-analysis. Co-primary outcomes were efficacy (mean change in psychopathology rating scales) and acceptability (all-cause discontinuations) at study endpoint. Of 25 RCTs, 19 studies tested second-generation LAIs (SGA-LAIs) and six first-generation LAIs (FGA-LAIs). Due to a disconnected network, FGA-LAIs were analyzed separately, with poor data quality. The SGA-LAIs network included 8,418 individuals (males=63%, mean age=39.3 years). All SGA-LAIs outperformed placebo in reducing acute symptoms at study endpoint (median follow-up=13 weeks). They were more acceptable than placebo with the only exception of olanzapine, for which no differences with placebo emerged. Additionally, we distinguished between different LAI formulations of the same antipsychotic to explore potential pharmacokinetic differences. Most formulations outperformed placebo in the very short-term (2 weeks or less), regardless of the need for initial oral supplementation. SGA-LAIs are evidence-based treatments in acutely ill individuals with schizophrenia-spectrum disorders. Findings support the use of SGA-LAIs to manage psychopathology and improve adherence right from the acute phases of illness.
Keyphrases
- bipolar disorder
- systematic review
- double blind
- liver failure
- randomized controlled trial
- end stage renal disease
- big data
- clinical trial
- type diabetes
- newly diagnosed
- intensive care unit
- machine learning
- ejection fraction
- hepatitis b virus
- depressive symptoms
- peritoneal dialysis
- skeletal muscle
- adipose tissue
- risk assessment
- weight loss
- case control
- study protocol