Evidence map›Paper›PMID 29950847›Full record

ArticleNeuropsychiatric disease and treatment2018

Haruka Kaneko, Itaru Miura, Keiko Kanno-Nozaki, Sho Horikoshi, Mizuki Hino, Hirooki Yabe

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. 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.

Haruka KanekoDepartment of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan.
Itaru MiuraDepartment of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan.
Keiko Kanno-NozakiDepartment of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan.
Sho HorikoshiDepartment of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan.
Mizuki HinoDepartment of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan.
Hirooki YabeDepartment of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan.
Fukushima Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe MATERIALS AND

methodsForty patients with schizophrenia were treated with aripiprazole for 6 weeks. We measured Positive and Negative Syndrome Scale (PANSS) and plasma levels of homovanillic acid (HVA) and plasma MHPG (3-methoxy-4-hydroxyphenethyleneglycol) at baseline and endpoint. The

resultsThere were significant genotype-time interactions on PANSS total and general psychopathology scores, with Met/Met genotype showing greater improvement. The response rate to aripiprazole did not differ between

conclusionOur results suggest that individuals with the Met/Met genotype had greater improvement in PANSS score after the treatment with aripiprazole. On the other hand, the Val 108/158 Met polymorphism may not induce changes in plasma levels of monoamine metabolites during aripiprazole treatment. Because of the small sample size, further studies are needed to confirm and to extend our results.

Indexed as

aripiprazoleCOMTpharmacogeneticsschizophreniaVal 108/158 Met polymorphism (rs4680)

Identifiers

PMID29950847
PMCPMC6018926
OpenAlexW2809203899

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.