Evidence map›Paper›PMID 30783527›Full record

ArticleSAGE open medical case reports2019

A case of methamphetamine use disorder presenting a condition of ultra-rapid cycler bipolar disorder.

Haruki Ikawa, Sho Kanata, Akihisa Akahane, Mamoru Tochigi, Naoki Hayashi, Emi Ikebuchi

Open access · goldAbstract readCase Reports
In one paragraph

Article in SAGE open medical case reports, 2019. 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
0.2field-weighted citation impact, top 49% 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.

  1. Differentiating Between Major Depressive Disorder and Bipolar Disorder.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Article
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

6 authors at 1 institution in 1 country.

Haruki IkawaDepartment of Psychiatry, School of Medicine, Teikyo University, Tokyo, Japan.
Sho KanataDepartment of Psychiatry, School of Medicine, Teikyo University, Tokyo, Japan.
Akihisa AkahaneDepartment of Psychiatry, School of Medicine, Teikyo University, Tokyo, Japan.
Mamoru TochigiDepartment of Psychiatry, School of Medicine, Teikyo University, Tokyo, Japan.
Naoki HayashiDepartment of Psychiatry, School of Medicine, Teikyo University, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5540-8175
Emi IkebuchiDepartment of Psychiatry, School of Medicine, Teikyo University, Tokyo, Japan.
Teikyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methamphetamine, a potent psychostimulant, may cause a condition of mood disorder among users. However, arguments concerning methamphetamine-induced mood disorder remain insufficient. This case study describes a male with methamphetamine-induced bipolar disorder not accompanied by psychotic symptoms, who twice in an 11-year treatment period, manifested an ultra-rapid cycler condition alternating between manic and depressive mood states with 3- to 7-day durations for each. The conditions ensued after a bout of high-dose methamphetamine use and shifted to a moderately depressive condition within 1 month after the use under a treatment regimen of aripiprazole and mood stabilizers. The cycler condition may be characteristic of a type of the bipolar disorder and a sign usable for characterization. Further efforts are needed to seek distinctive features and to improve diagnostic assessment of methamphetamine-induced mood disorders.

Indexed as

manic switchMethamphetaminerapid cyclersubstance-induced bipolar disordersubstance use disorder

Identifiers

PMID30783527
PMCPMC6365985
OpenAlexW2914171632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.