Evidence map›Paper›PMID 35415704›Full record

ArticleBiological psychiatry global open science2021

Secondary Sources of Negative Symptoms in Those Meeting Criteria for a Clinical High-Risk Syndrome.

Tina Gupta, Gregory P Strauss, Henry R Cowan, Andrea Pelletier-Baldelli, Lauren M Ellman, Jason Schiffman, Vijay A Mittal

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biological psychiatry global open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Tina GuptaDepartments of Psychology (TG, HRC, VAM), Psychiatry (VAM), and Medical Social Science (VAM), and Institute for Policy Research (VAM), Northwestern University, Evanston, Illinois; Department of Psychology (GPS), University of Georgia, Athens, Georgia; Department of Psychiatry (AP-B), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychology (LME), Temple University, Philadelphia, Pennsylvania; Department of Psychology (JS), University of Maryland, Baltimore County, Baltimore, Maryland; and Department of Psychological Science (JS), University of California, Irvine, Irvine, California.
Gregory P StraussDepartments of Psychology (TG, HRC, VAM), Psychiatry (VAM), and Medical Social Science (VAM), and Institute for Policy Research (VAM), Northwestern University, Evanston, Illinois; Department of Psychology (GPS), University of Georgia, Athens, Georgia; Department of Psychiatry (AP-B), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychology (LME), Temple University, Philadelphia, Pennsylvania; Department of Psychology (JS), University of Maryland, Baltimore County, Baltimore, Maryland; and Department of Psychological Science (JS), University of California, Irvine, Irvine, California.
Henry R CowanDepartments of Psychology (TG, HRC, VAM), Psychiatry (VAM), and Medical Social Science (VAM), and Institute for Policy Research (VAM), Northwestern University, Evanston, Illinois; Department of Psychology (GPS), University of Georgia, Athens, Georgia; Department of Psychiatry (AP-B), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychology (LME), Temple University, Philadelphia, Pennsylvania; Department of Psychology (JS), University of Maryland, Baltimore County, Baltimore, Maryland; and Department of Psychological Science (JS), University of California, Irvine, Irvine, California.
Andrea Pelletier-BaldelliDepartments of Psychology (TG, HRC, VAM), Psychiatry (VAM), and Medical Social Science (VAM), and Institute for Policy Research (VAM), Northwestern University, Evanston, Illinois; Department of Psychology (GPS), University of Georgia, Athens, Georgia; Department of Psychiatry (AP-B), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychology (LME), Temple University, Philadelphia, Pennsylvania; Department of Psychology (JS), University of Maryland, Baltimore County, Baltimore, Maryland; and Department of Psychological Science (JS), University of California, Irvine, Irvine, California.
Lauren M EllmanDepartments of Psychology (TG, HRC, VAM), Psychiatry (VAM), and Medical Social Science (VAM), and Institute for Policy Research (VAM), Northwestern University, Evanston, Illinois; Department of Psychology (GPS), University of Georgia, Athens, Georgia; Department of Psychiatry (AP-B), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychology (LME), Temple University, Philadelphia, Pennsylvania; Department of Psychology (JS), University of Maryland, Baltimore County, Baltimore, Maryland; and Department of Psychological Science (JS), University of California, Irvine, Irvine, California.
Jason SchiffmanDepartments of Psychology (TG, HRC, VAM), Psychiatry (VAM), and Medical Social Science (VAM), and Institute for Policy Research (VAM), Northwestern University, Evanston, Illinois; Department of Psychology (GPS), University of Georgia, Athens, Georgia; Department of Psychiatry (AP-B), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychology (LME), Temple University, Philadelphia, Pennsylvania; Department of Psychology (JS), University of Maryland, Baltimore County, Baltimore, Maryland; and Department of Psychological Science (JS), University of California, Irvine, Irvine, California.
Vijay A MittalDepartments of Psychology (TG, HRC, VAM), Psychiatry (VAM), and Medical Social Science (VAM), and Institute for Policy Research (VAM), Northwestern University, Evanston, Illinois; Department of Psychology (GPS), University of Georgia, Athens, Georgia; Department of Psychiatry (AP-B), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Psychology (LME), Temple University, Philadelphia, Pennsylvania; Department of Psychology (JS), University of Maryland, Baltimore County, Baltimore, Maryland; and Department of Psychological Science (JS), University of California, Irvine, Irvine, California.
Northwestern University · USUniversity of Georgia · USUniversity of North Carolina at Chapel Hill · US

Funding

1/3-Community Psychosis Risk Screening: An Instrument Development Study SupplementR01MH112613 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2017 to 2022
$1.8M
Administrative Supplement - 3/3: Community Psychology Risk Screening: An Instrument Development StudyR01MH112612 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI PITTS, STEVEN C, SCHIFFMAN, JASON E · 2017 to 2022
$1.3M
2/3 Community psychosis risk screening: An instrument development studyR01MH112545 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2017 to 2021
$1.2M
Neurocorrelates of alterations in facial expressivity in youth at clinical high-risk for psychosisF31MH121018 · NIMH · NORTHWESTERN UNIVERSITY · PI GUPTA, TINA · 2019 to 2021
$82k
NIMH NIH HHS F31 MH121018NIMH NIH HHS R01 MH112545NIMH NIH HHS R01 MH112612NIMH NIH HHS R01 MH112613
6 · The paper itself

Abstract

backgroundNegative symptoms are diagnostic characteristics of schizophrenia. They can result from primary (i.e., idiopathic) or secondary (i.e., due to other factors such as depression, anxiety, psychosis, disorganization, medication effects) features of the illness. Although secondary sources of negative symptoms are prevalent among individuals meeting criteria for clinical high-risk syndromes that are due to high rates of comorbidity, the extent to which secondary sources account for variance in negative symptom domains is unknown. Addressing this gap is an important step in informing vulnerability models and treatments for negative symptoms. This study aimed to investigate secondary sources of negative symptoms in those meeting criteria for a clinical high-risk syndrome (

methodsSimultaneous regression and hierarchical partitioning methods were used to determine the proportion of variance explained by selective serotonin reuptake inhibitor use, anxiety, depression, unusual thought content, and disorganized communication in predicting severity of five negative symptom domains (avolition, anhedonia, asociality, blunted affect, and alogia).

resultsFindings revealed that depression explained the largest proportion of variance in avolition, asociality, and anhedonia. Anxiety was the most predictive of blunted affect, and selective serotonin reuptake inhibitor use explained the most variance in alogia. Analyses within male and female samples revealed that in males, depression explained a large proportion of variance in several negative symptom domains, while in females, selective serotonin reuptake inhibitor use explained variance in alogia.

conclusionsResults highlight heterogeneity in variance explained by secondary sources of negative symptoms. These findings guide treatment development for secondary sources of negative symptoms. Furthermore, results inform etiologic models of psychosis and negative symptom conceptualizations.

Identifiers

PMID35415704
PMCPMC8996819
OpenAlexW3168353996

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.