Evidence map›Paper›PMID 35792918›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2022

Interactive effects of polygenic risk and cognitive subtype on brain morphology in schizophrenia spectrum and bipolar disorders.

Yann Quidé, Oliver J Watkeys, Leah Girshkin, Manreena Kaur, Vaughan J Carr, Murray J Cairns, Melissa J Green

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

7 authors.

Yann QuidéSchool of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-8569-7139
Oliver J WatkeysSchool of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-2575-9243
Leah GirshkinSchool of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-0584-4985
Manreena KaurSchool of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-0404-7298
Vaughan J CarrSchool of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-8907-5804
Murray J CairnsSchool of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia.ORCID http://orcid.org/0000-0003-2490-2538
Melissa J GreenSchool of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW, Australia. melissa.green@unsw.edu.au.ORCID http://orcid.org/0000-0002-9361-4874

Funding

Centre of Excellence in Cognition and its Disorders, Australian Research Council 110001021Future Fellowship, Australian Research Council (AU) 0991511National Health and Medical Research Council 1061875National Health and Medical Research Council 1081603National Health and Medical Research Council 1121474National Health and Medical Research Council 630471
6 · The paper itself

Abstract

Grey matter volume (GMV) may be associated with polygenic risk for schizophrenia (PRS-SZ) and severe cognitive deficits in people with schizophrenia, schizoaffective disorder (collectively SSD), and bipolar disorder (BD). This study examined the interactive effects of PRS-SZ and cognitive subtypes of SSD and BD in relation to GMV. Two-step cluster analysis was performed on 146 clinical cases (69 SSD and 77 BD) assessed on eight cognitive domains (verbal and visual memory, executive function, processing speed, visual processing, language ability, working memory, and planning). Among them, 55 BD, 51 SSD, and 58 healthy controls (HC), contributed to focal analyses of the relationships between cognitive subtypes, PRS-SZ and their interaction on GMV. Two distinct cognitive subtypes were evident among the combined sample of cases: a 'cognitive deficit' group (CD; N = 31, 20SSD/11BD) showed severe impairment across all cognitive indices, and a 'cognitively spared' (CS; N = 75; 31SSD/44BD) group showed intermediate cognitive performance that was significantly worse than the HC group but better than the CD subgroup. A cognitive subgroup-by-PRS-SZ interaction was significantly associated with GMV in the left precentral gyrus. Moderation analyses revealed a significant negative relationship between PRS-SZ and GMV in the CD group only. At low and average (but not high) PRS-SZ, larger precentral GMV was evident in the CD group compared to both CS and HC groups, and in the CS group compared to HCs. This study provides evidence for a relationship between regional GMV changes and PRS-SZ in psychosis spectrum cases with cognitive deficits, but not in cases cognitively spared.

Indexed as

Bipolar DisorderSchizophreniaCognitionGray MatterHumansMultifactorial InheritanceBipolar disorderCognitionCross-disorderGenetic riskGrey matter volumeSchizophrenia

Identifiers

PMID35792918
PMCPMC9508053

What Socratic holds

Textmetadata
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 Socratic graph.