Evidence map›Paper›PMID 28831376›Full record

ArticleNeuroImage. Clinical2017

Cognitive clustering in schizophrenia patients, their first-degree relatives and healthy subjects is associated with anterior cingulate cortex volume.

Kazutaka Ohi, Takamitsu Shimada, Kiyotaka Nemoto, Yuzuru Kataoka, Toshiki Yasuyama, Kohei Kimura, Hiroaki Okubo, Takashi Uehara, Yasuhiro Kawasaki

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
–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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
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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

9 authors.

Kazutaka OhiDepartment of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.
Takamitsu ShimadaDepartment of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.
Kiyotaka NemotoDepartment of Neuropsychiatry, Institute of Clinical Medicine, University of Tsukuba, Ibaraki, Japan.
Yuzuru KataokaDepartment of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.
Toshiki YasuyamaDepartment of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.
Kohei KimuraDepartment of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.
Hiroaki OkuboDepartment of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.
Takashi UeharaDepartment of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.
Yasuhiro KawasakiDepartment of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive impairments are a core feature in schizophrenia patients (SCZ) and are also observed in first-degree relatives (FR) of SCZ. However, substantial variability in the impairments exists within and among SCZ, FR and healthy controls (HC). A cluster-analytic approach can group individuals based on profiles of traits and create more homogeneous groupings than predefined categories. Here, we investigated differences in the Brief Assessment of Cognition in Schizophrenia (BACS) neuropsychological battery (six subscales) among SCZ, unaffected FR and HC. To identify three homogeneous and meaningful cognitive groups regardless of categorical diagnoses (SCZ, FR and HC), cognitive clustering was performed, and differences in the BACS subscales among the cognitive cluster groups were investigated. Finally, the effects of diagnosis and cognition on brain volumes were examined. As expected, there were significant differences in the five BACS subscales among the diagnostic groups. The cluster-analytic approach generated three meaningful subgroups: (i) neuropsychologically normal, (ii) intermediate impaired and (iii) widespread impaired. The cognitive subgroups were mainly affected by the clinical diagnosis, and significant differences in all BACS subscales among clusters were found. The effects of the diagnosis and cognitive clusters on brain volumes overlapped in the frontal, temporal and limbic regions. Frontal and temporal volumes were mainly affected by the diagnosis, whereas the anterior cingulate cortex (ACC) volumes were affected by the additive effects of diagnosis and cognition. Our findings demonstrate a cognitive continuum among SCZ, FR and HC and support the concept of cognitive impairment and the related ACC volumes as intermediate phenotypes in SCZ.

Indexed as

AdultAgedCognitionCognition DisordersFemaleGyrus CinguliHumansImage Processing, Computer-AssistedMaleMiddle AgedNeuropsychological TestsSchizophreniaYoung AdultAnterior cingulate cortexBrain volumeCognitive clusteringFirst-degree relativeSchizophrenia

Identifiers

PMID28831376
PMCPMC5554933

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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.