Evidence map›Paper›PMID 38183370›Full record

ReviewNeuropsychopharmacology reports2024

Long-acting injectable antipsychotics as maintenance therapy for schizophrenia during the COVID-19 pandemic: A micro-narrative review.

Yoshiyo Oguchi, Nobumi Miyake, Kumiko Ando

Abstract readReview
In one paragraph

Review in Neuropsychopharmacology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Yoshiyo OguchiDepartment of Neuropsychiatry, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-4626-4218
Nobumi MiyakeDepartment of Neuropsychiatry, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan.
Kumiko AndoDepartment of Neuropsychiatry, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease pandemic has presented healthcare systems with unprecedented challenges globally and substantially impacted the management of chronic diseases such as schizophrenia. This narrative review highlights the usefulness of long-acting injectable antipsychotics (LAIs) as maintenance therapy for patients with schizophrenia during the pandemic. The analysis of relevant literature and psychiatric survey data revealed diverse trends in LAIs prescription and patient adherence with oral antipsychotics. Although some studies have reported a decrease in LAIs prescriptions owing to pandemic-related disruptions, others have suggested stable patient adherence with oral antipsychotics. Approximately 70% of Japanese psychiatrists reported an increase in schizophrenia relapse rates in a survey, underscoring the critical role of LAIs in maintaining therapeutic stability. The potential benefits of LAIs with extended dosing intervals have been highlighted, including improving oral medication adherence and reducing the frequency of hospital visits. In conclusion, this review emphasizes the continued need for uninterrupted LAIs therapy in conjunction with community and home-based care despite the disruptions caused by the coronavirus disease pandemic. Further development of LAIs maintenance therapy strategies considering the ongoing pandemic and potential future public health emergencies are required.

Indexed as

Antipsychotic AgentsCOVID-19SchizophreniaHumansInjections, IntramuscularPandemicsAntipsychotic AgentsCOVID-19long-acting injectable antipsychoticsoral medication adherencepsychiatric careschizophrenia

Identifiers

PMID38183370
PMCPMC10932768

What OpenQuestion holds

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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.