Evidence map›Paper›PMID 37293402›Full record

ArticleFrontiers in psychiatry2023

The impact of early factors on persistent negative symptoms in youth at clinical high risk for psychosis.

Daniel J Devoe, Lu Lui, Tyrone D Cannon, Kristin Suzanne Cadenhead, Barbara A Cornblatt, Matcheri Keshavan, Tom H McGlashan, Diana O Perkins, Larry J Seidman, William S Stone and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

16 authors at 10 institutions in 2 countries.

Daniel J DevoeDepartment of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Lu LuiDepartment of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Tyrone D CannonDepartment of Psychology, Yale University, New Haven, CT, United States.
Kristin Suzanne CadenheadDepartment of Psychiatry, University of California, San Diego, San Diego, CA, United States.
Barbara A CornblattDepartment of Psychiatry, Zucker Hillside Hospital, Queens, NY, United States.
Matcheri KeshavanDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States.
Tom H McGlashanDepartment of Psychiatry, Yale University, New Haven, CT, United States.
Diana O PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, United States.
Larry J SeidmanDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States.
William S StoneDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, United States.
Ming T TsuangDepartment of Psychiatry, University of California, San Diego, San Diego, CA, United States.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT, United States.
Elaine F WalkerDepartment of Psychology, Emory University, Atlanta, GA, United States.
Daniel H MathalonDepartment of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.
Carrie E BeardenDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Jean AddingtonDepartment of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Beth Israel Deaconess Medical Center · USUniversity of Calgary · CAYale University · USEmory University · USGenomatica (United States) · USUniversity of California, Los Angeles · USUniversity of California San Diego · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · USZucker Hillside Hospital · US

Funding

Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
NICHD NIH HHS P50 HD103573
6 · The paper itself

Abstract

Introduction: Persistent negative symptoms (PNS) are described as continuing moderate negative symptoms. More severe negative symptoms have been associated with poor premorbid functioning in both chronic schizophrenia and first episode psychosis patients. Furthermore, youth at clinical high risk (CHR) for developing psychosis may also present with negative symptoms and poor premorbid functioning. The aim of this current study was to: (1) define the relationship between PNS and premorbid functioning, life events, trauma and bullying, previous cannabis use, and resource utilization, and (2) to examine what explanatory variables best predicted PNS. Method: CHR participants ( Results: There was significantly more males in the PNS group. Participants with PNS had significantly lower levels of premorbid adjustment in childhood, early adolescence, and late adolescence, compared to CHR participants without PNS. There were no differences between the groups in terms of trauma, bullying, and resource utilization. The non-PNS group had more cannabis use and more desirable and non-desirable life events. Conclusion: In terms of better understanding relationships between early factors and PNS, a prominent factor associated with PNS was premorbid functioning, in particular poor premorbid functioning in later adolescence.

Indexed as

cannabisclinical high riskearly factorslife eventspersistent negative symptomspremorbid functioningpsychosistrauma

Identifiers

PMID37293402
PMCPMC10244495
OpenAlexW4378071830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.