Evidence map›Paper›PMID 32180369›Full record

Trial reportNeuropsychopharmacology reports2020

Early improvements of individual symptoms as a predictor of treatment response to asenapine in patients with schizophrenia.

Kamiyu Ogyu, Yoshihiro Noda, Kazunari Yoshida, Shin Kurose, Fumi Masuda, Yu Mimura, Hana Nishida, Eric Plitman, Ryosuke Tarumi, Sakiko Tsugawa and 6 more

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Neuropsychopharmacology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Molecular and neurocircuitry mechanisms of social avoidance.Cellular and molecular life sciences : CMLS · 2021
    Review
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

16 authors at 3 institutions in 2 countries.

Kamiyu OgyuDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0001-6722-607X
Yoshihiro NodaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Kazunari YoshidaPharmacogenetic Research Clinic, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Shin KuroseDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Fumi MasudaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Yu MimuraDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Hana NishidaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Eric PlitmanCerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
Ryosuke TarumiDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Sakiko TsugawaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Masataka WadaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Takahiro MiyazakiDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Hiroyuki UchidaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-0628-7036
Ariel Graff-GuerreroMultimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.
Masaru MimuraDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Shinichiro NakajimaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Keio University · JPCentre for Addiction and Mental Health · CADouglas Mental Health University Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIt is well accepted that early improvement with antipsychotics predicts subsequent response in patients with schizophrenia. However, no study has examined the contribution of individual symptoms rather than overall symptom severity as the predictors. Thus, we aimed to detect individual symptoms whose improvements could predict subsequent response in patients with schizophrenia during treatment with asenapine and examine whether a prediction model with individual symptoms would be superior to a model using overall symptom severity.

methodsThis study analyzed a dataset including 532 patients with schizophrenia enrolled in a 6-week double-blind, placebo-controlled, randomized trial of asenapine. Response to asenapine was defined as a ≥30% decrease in Positive and Negative Syndrome Scale (PANSS) total score from baseline to week 6. Stepwise logistic regression analyses were performed to investigate the associations among response and PANSS total/individual item score improvements at week 1 or week 2.

resultsResponse was associated with early improvement in the following PANSS items: disturbance of volition, active social avoidance, poor impulse control at week 1; and active social avoidance, poor attention, lack of judgment and insight at week 2. Prediction accuracy was almost compatible between the model with individual symptoms and the model with PANSS total score both at weeks 1 and 2 (Nagelkerke R

conclusionEarly improvement in negative symptoms, poor attention and impulse control, and lack of insight, in particular predicted subsequent treatment response in patients with schizophrenia during treatment with asenapine as accurately as prediction based on overall symptom severity.

Indexed as

Schizophrenic PsychologyAdultAntipsychotic AgentsDibenzocycloheptenesDouble-Blind MethodFemaleHumansMaleMiddle AgedPredictive Value of TestsSchizophreniaSingle-Blind MethodTime FactorsTreatment OutcomeAntipsychotic AgentsasenapineDibenzocycloheptenesantipsychoticasenapineearly improvementpredictionresponseschizophrenia

Identifiers

PMID32180369
PMCPMC7722672
OpenAlexW3011244690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.