Evidence map›Paper›PMID 36096797›Full record

ArticleAnnals of general psychiatry2022

Effect of age and sex on prescriptions for outpatients with bipolar disorder in the MUSUBI study: a cross‑sectional study.

Yasushi Kawamata, Norio Yasui-Furukori, Naoto Adachi, Hitoshi Ueda, Seiji Hongo, Takaharu Azekawa, Yukihisa Kubota, Eiichi Katsumoto, Koji Edagawa, Eiichiro Goto and 8 more

Open access · goldAbstract read
In one paragraph

Article in Annals of general psychiatry, 2022. 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
0.4field-weighted citation impact, top 38% 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, 4 citations in OpenAlex.

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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

18 authors at 6 institutions in 1 country.

Yasushi KawamataDepartment of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Norio Yasui-FurukoriDepartment of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan. furukori@dokkyomed.ac.jp.
Naoto AdachiThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Hitoshi UedaThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Seiji HongoThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Takaharu AzekawaThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Yukihisa KubotaThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Eiichi KatsumotoThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Koji EdagawaThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Eiichiro GotoThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Kazuhira MikiThe Japanese Association of Neuro-Psychiatric Clinics, Kodaira, Japan.
Masaki KatoDepartment of Neuropsychiatry, Kansai Medical University, Osaka, Japan.
Atsuo NakagawaDepartment of Neuropsychiatry, Keio University School of Medicine, Minato city, Japan.
Toshiaki KikuchiDepartment of Neuropsychiatry, Keio University School of Medicine, Minato city, Japan.
Takashi TsuboiDepartment of Neuropsychiatry, Kyorin University School of Medicine, Mitaka, Japan.
Reiji YoshimuraDepartment of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan.
Kazutaka ShimodaDepartment of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Mibu, Tochigi, 321-0293, Japan.
Koichiro WatanabeDepartment of Neuropsychiatry, Kyorin University School of Medicine, Mitaka, Japan.
Okayama Psychiatric Medical Center · JPDokkyo Medical University · JPKeio University · JPKyorin University · JPKansai Medical University · JPUniversity of Occupational and Environmental Health Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildbearing-aged female patients and elderly patients with bipolar disorder need special attention for pharmacological treatments, but current guidelines provide little information on their pharmacological treatment. In particular, the risk/benefit balance of pharmacological treatment for childbearing-aged females with bipolar disorder is a growing concern. Therefore, we aimed to address the effect of age and sex on psychotropic drug prescription for outpatients with bipolar disorder.

methodsThe MUlticenter treatment SUrvey for BIpolar disorder in Japanese psychiatric clinics (MUSUBI) study was conducted, and data on age, sex, and details of pharmacological treatment were collected.

resultsA total of 3106 outpatients were included in this study. Among young females (age  ≤ 39), 25% were prescribed valproate. There was no significant difference in the frequency and daily dose of valproate prescription for young females among all groups. Valproate prescriptions were significantly less frequent among young males and more frequent among middle-aged males. Lithium prescriptions were significantly less frequent among young females and more frequent among older males (age  ≥ 65) and older females. Lamotrigine prescriptions were significantly more frequent among young males and young females and less frequent among older males and older females. Carbamazepine prescriptions were significantly less frequent among young males and more frequent among older males.

conclusionsBiased information about the risk and safety of valproate and lithium for young females was suggested, and further study to correct this bias is needed. Older patients were prescribed lithium more commonly than lamotrigine. Further studies are needed to determine the actual pharmacotherapy for elderly individuals.

Indexed as

Childbearing ageElderlyMood stabilizerOutpatientsReal worldValproate

Identifiers

PMID36096797
PMCPMC9465914
OpenAlexW4295500414

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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.