Literature DB >> 35524614

Reappraising the variability of effects of antipsychotic medication in schizophrenia: a meta-analysis.

Robert A McCutcheon1,2,3, Toby Pillinger1,2,3, Orestis Efthimiou4,5, Marta Maslej6, Benoit H Mulsant7,8, Allan H Young5, Andrea Cipriani9,10, Oliver D Howes2,3,5.   

Abstract

It is common experience for practising psychiatrists that individuals with schizophrenia vary markedly in their symptomatic response to antipsychotic medication. What is not clear, however, is whether this variation reflects variability of medication-specific effects (also called "treatment effect heterogeneity"), as opposed to variability of non-specific effects such as natural symptom fluctuation or placebo response. Previous meta-analyses found no evidence of treatment effect heterogeneity, suggesting that a "one size fits all" approach may be appropriate and that efforts at developing personalized treatment strategies for schizophrenia are unlikely to succeed. Recent advances indicate, however, that earlier approaches may have been unable to accurately quantify treatment effect heterogeneity due to their neglect of a key parameter: the correlation between placebo response and medication-specific effects. In the present paper, we address this shortcoming by using individual patient data and study-level data to estimate that correlation and quantitatively characterize antipsychotic treatment effect heterogeneity in schizophrenia. Individual patient data (on 384 individuals who were administered antipsychotic treatment and 88 who received placebo) were obtained from the Yale University Open Data Access (YODA) database. Study-level data were obtained from a meta-analysis of 66 clinical trials including 17,202 patients. Both individual patient and study-level analyses yielded a negative correlation between placebo response and treatment effect for the total score on the Positive and Negative Syndrome Scale (PANSS) (ρ=-0.32, p=0.002 and ρ=-0.39, p<0.001, respectively). Using the most conservative of these estimates, a meta-analysis of treatment effect heterogeneity provided evidence of a marked variability in antipsychotic-specific effects between individuals with schizophrenia, with the top quartile of patients experiencing beneficial treatment effects of 17.7 points or more on the PANSS total score, while the bottom quartile presented a detrimental effect of treatment relative to placebo. This evidence of clinically meaningful treatment effect heterogeneity suggests that efforts to personalize antipsychotic treatment of schizophrenia have potential for success.
© 2022 World Psychiatric Association.

Entities:  

Keywords:  Antipsychotic medication; medication-specific effects; non-specific effects; personalization of treatment; placebo response; precision medicine; schizophrenia; treatment effect heterogeneity; variability of effects

Year:  2022        PMID: 35524614      PMCID: PMC9077611          DOI: 10.1002/wps.20977

Source DB:  PubMed          Journal:  World Psychiatry        ISSN: 1723-8617            Impact factor:   79.683


  22 in total

Review 1.  Treatment effect variability in brain stimulation across psychiatric disorders: A meta-analysis of variance.

Authors:  Stephanie Homan; Whitney Muscat; Andrea Joanlanne; Nikolaos Marousis; Giacomo Cecere; Lena Hofmann; Ellen Ji; Maria Neumeier; Stefan Vetter; Erich Seifritz; Thomas Dierks; Philipp Homan
Journal:  Neurosci Biobehav Rev       Date:  2021-01-19       Impact factor: 8.989

2.  The need to develop personalized interventions to improve cognition in schizophrenia.

Authors:  Peter Falkai; Andrea Schmitt
Journal:  World Psychiatry       Date:  2019-06       Impact factor: 49.548

3.  The magnitude and heterogeneity of antidepressant response in depression: A meta-analysis of over 45,000 patients.

Authors:  Xin Guo; Robert A McCutcheon; Toby Pillinger; Yuya Mizuno; Sridhar Natesan; Kirsten Brown; Oliver Howes
Journal:  J Affect Disord       Date:  2020-07-21       Impact factor: 4.839

4.  The clinical characterization of the patient with primary psychosis aimed at personalization of management.

Authors:  Mario Maj; Jim van Os; Marc De Hert; Wolfgang Gaebel; Silvana Galderisi; Michael F Green; Sinan Guloksuz; Philip D Harvey; Peter B Jones; Dolores Malaspina; Patrick McGorry; Jouko Miettunen; Robin M Murray; Keith H Nuechterlein; Victor Peralta; Graham Thornicroft; Ruud van Winkel; Joseph Ventura
Journal:  World Psychiatry       Date:  2021-02       Impact factor: 49.548

5.  The clinical characterization of the adult patient with depression aimed at personalization of management.

Authors:  Mario Maj; Dan J Stein; Gordon Parker; Mark Zimmerman; Giovanni A Fava; Marc De Hert; Koen Demyttenaere; Roger S McIntyre; Thomas Widiger; Hans-Ulrich Wittchen
Journal:  World Psychiatry       Date:  2020-10       Impact factor: 49.548

6.  Individual Differences in Response to Antidepressants: A Meta-analysis of Placebo-Controlled Randomized Clinical Trials.

Authors:  Marta M Maslej; Toshiaki A Furukawa; Andrea Cipriani; Paul W Andrews; Marcos Sanches; Anneka Tomlinson; Constantin Volkmann; Robert A McCutcheon; Oliver Howes; Xin Guo; Benoit H Mulsant
Journal:  JAMA Psychiatry       Date:  2021-05-01       Impact factor: 21.596

7.  Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies-PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice.

Authors:  Stefania Tognin; Hendrika H van Hell; Kate Merritt; Inge Winter-van Rossum; Matthijs G Bossong; Matthew J Kempton; Gemma Modinos; Paolo Fusar-Poli; Andrea Mechelli; Paola Dazzan; Arija Maat; Lieuwe de Haan; Benedicto Crespo-Facorro; Birte Glenthøj; Stephen M Lawrie; Colm McDonald; Oliver Gruber; Therese van Amelsvoort; Celso Arango; Tilo Kircher; Barnaby Nelson; Silvana Galderisi; Rodrigo Bressan; Jun S Kwon; Mark Weiser; Romina Mizrahi; Gabriele Sachs; Anke Maatz; René Kahn; Phillip McGuire
Journal:  Schizophr Bull       Date:  2020-02-26       Impact factor: 9.306

8.  The efficacy and heterogeneity of antipsychotic response in schizophrenia: A meta-analysis.

Authors:  Robert A McCutcheon; Toby Pillinger; Yuya Mizuno; Adam Montgomery; Haridha Pandian; Luke Vano; Tiago Reis Marques; Oliver D Howes
Journal:  Mol Psychiatry       Date:  2019-08-30       Impact factor: 15.992

9.  Determinants of antipsychotic response in schizophrenia: implications for practice and future clinical trials.

Authors:  Jonathan Rabinowitz; Nomi Werbeloff; Ivo Caers; Francine S Mandel; Virginia Stauffer; François Ménard; Bruce J Kinon; Shitij Kapur
Journal:  J Clin Psychiatry       Date:  2014-04       Impact factor: 4.384

10.  On the treatment effect heterogeneity of antidepressants in major depression: A Bayesian meta-analysis and simulation study.

Authors:  Constantin Volkmann; Alexander Volkmann; Christian A Müller
Journal:  PLoS One       Date:  2020-11-11       Impact factor: 3.240

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  1 in total

1.  Timing of antipsychotics and benzodiazepine initiation during a first episode of psychosis impacts clinical outcomes: Electronic health record cohort study.

Authors:  Maite Arribas; Marco Solmi; Trevor Thompson; Dominic Oliver; Paolo Fusar-Poli
Journal:  Front Psychiatry       Date:  2022-09-23       Impact factor: 5.435

  1 in total

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