Evidence map›Paper›PMID 39095878›Full record

ArticleAnnals of general psychiatry2024

Predictors of continuation for asenapine from real-world data in patients with schizophrenia.

Yoshiteru Takekita, Shuichi Hiraoka, Yasuhiro Iwama, Daisuke Matsui, Nobuatsu Aoki, Haruhiko Ogata, Toshiya Funatsuki, Toshiyuki Shimizu, Yuji Murase, Yutaro Shimamoto and 2 more

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Article in Annals of general psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Yoshiteru TakekitaDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan. takekity@takii.kmu.ac.jp.
Shuichi HiraokaMeiji Seika Pharma Co., Ltd., Tokyo, Japan.
Yasuhiro IwamaMeiji Seika Pharma Co., Ltd., Tokyo, Japan.
Daisuke MatsuiMeiji Seika Pharma Co., Ltd., Tokyo, Japan.
Nobuatsu AokiDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan.
Haruhiko OgataDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan.
Toshiya FunatsukiDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan.
Toshiyuki ShimizuDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan.
Yuji MuraseDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan.
Yutaro ShimamotoDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan.
Yosuke KoshikawaDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan.
Masaki KatoDepartment of Neuropsychiatry, Faculty of Medicine, Kansai Medical University, 10-15 Fumizono-cho, Moriguchi, Osaka, 570-8506, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe continuation rates of pharmacotherapy in schizophrenia exhibit variability, a phenomenon influenced by the specific antipsychotic agent prescribed and patient-related factors such as age and duration of illness. In this context, our study aims to elucidate the predictors of medication continuation for asenapine sublingual tablets, characterized by unique formulation properties.

methodsOur investigation leveraged real-world data collected through post-marketing surveillance in Japan, comprising 3236 cases. Utilizing multivariate logistic regression analysis, we identified patient-related factors associated with medication continuation as the primary outcome measure, subsequently employing survival analysis for further evaluation. Additionally, adverse event occurrence was assessed as a secondary outcome measure.

resultsMultivariate logistic regression analysis unveiled significant predictors of asenapine continuation, notably including patient-related factors such as a chlorpromazine equivalent dose exceeding 600 mg/day and an illness duration of 25 years or more. While the overall continuation rate stood at 40.6%, patients exhibiting factors such as a chlorpromazine equivalent dose surpassing 600 mg/day or an illness duration exceeding 25 years demonstrated continuation rates of 46.3% and 47.9%, respectively. Remarkably, patients presenting both factors showcased the highest continuation rate at 52.5%.

conclusionsOur findings shed light on distinct patient-related predictors of asenapine continuation, deviating from those observed with other antipsychotic medications. This underscores the necessity of recognizing that predictive factors for antipsychotic medication continuation vary across different agents. Moving forward, elucidating these predictive factors for various antipsychotic medications holds paramount importance in schizophrenia treatment, facilitating the delivery of tailored therapeutic interventions for individual patients.

Indexed as

AsenapineContinuation ratePredictorReal world dataSchizophrenia

Identifiers

PMID39095878
PMCPMC11297789

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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.