Evidence map›Paper›PMID 38357733›Full record

ArticlePsychological medicine2024

Enlarged pituitary gland volume: a possible state rather than trait marker of psychotic disorders.

Synthia Guimond, Ahmad Alftieh, Gabriel A Devenyi, Luke Mike, M Mallar Chakravarty, Jai L Shah, David A Parker, John A Sweeney, Godfrey Pearlson, Brett A Clementz and 2 more

Abstract read
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In one paragraph

Article in Psychological medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Synthia GuimondDepartment of Psychiatry, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-1582-725X
Ahmad AlftiehDepartment of Psychiatry, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada.
Gabriel A DevenyiDepartment of Psychiatry, McGill University, Montréal, QC, Canada.
Luke MikeDepartment of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
M Mallar ChakravartyDepartment of Psychiatry, McGill University, Montréal, QC, Canada.
Jai L ShahDepartment of Psychiatry, McGill University, Montréal, QC, Canada.
David A ParkerDepartment of Psychology, BioImaging Research Center, University of Georgia, Athens, GA, USA.
John A SweeneyDepartment of Psychiatry, University of Cincinnati, Cincinnati, OH, USA.
Godfrey PearlsonDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Brett A ClementzDepartment of Psychology, BioImaging Research Center, University of Georgia, Athens, GA, USA.
Carol A TammingaDepartment of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.
Matcheri KeshavanDepartment of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
J: NRSA Training CoreTL1TR002382 · NCATS · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Vasiliki Michopoulos · 2017 to 2026
$8.5M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077851 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2007 to 2019
$7.8M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077945 · NIMH · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2007 to 2019
$7.6M
Stability of Biotypes: a Longitudinal EvaluationR01MH078113 · NIMH · WAYNE STATE UNIVERSITY · PI KESHAVAN, MATCHERI S. · 2007 to 2019
$6.2M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077862 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI SWEENEY, JOHN A · 2007 to 2010
$3.1M
Fonds de Recherche du Québec - SantéNCATS NIH HHS TL1 TR002382NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002378NIMH NIH HHS R01 MH077851NIMH NIH HHS R01 MH077862NIMH NIH HHS R01 MH077945NIMH NIH HHS R01 MH078113
6 · The paper itself

Abstract

backgroundEnlarged pituitary gland volume could be a marker of psychotic disorders. However, previous studies report conflicting results. To better understand the role of the pituitary gland in psychosis, we examined a large transdiagnostic sample of individuals with psychotic disorders.

methodsThe study included 751 participants (174 with schizophrenia, 114 with schizoaffective disorder, 167 with psychotic bipolar disorder, and 296 healthy controls) across six sites in the Bipolar-Schizophrenia Network on Intermediate Phenotypes consortium. Structural magnetic resonance images were obtained, and pituitary gland volumes were measured using the MAGeT brain algorithm. Linear mixed models examined between-group differences with controls and among patient subgroups based on diagnosis, as well as how pituitary volumes were associated with symptom severity, cognitive function, antipsychotic dose, and illness duration.

resultsMean pituitary gland volume did not significantly differ between patients and controls. No significant effect of diagnosis was observed. Larger pituitary gland volume was associated with greater symptom severity (

conclusionsAlthough pituitary volumes were not increased in psychotic disorders, larger size may be a marker associated with more severe symptoms in the progression of psychosis. This finding helps clarify previous inconsistent reports and highlights the need for further research into pituitary gland-related factors in individuals with psychosis.

Indexed as

Bipolar DisorderMagnetic Resonance ImagingPituitary GlandPsychotic DisordersSchizophreniaAdultAntipsychotic AgentsBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedOrgan SizeAntipsychotic AgentsBiomarkersbipolarcognitionimagingpituitary glandpsychosispsychotic disorderschizophreniasymptom severity

Identifiers

PMID38357733
PMCPMC11132920

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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.