Evidence map›Paper›PMID 31527596›Full record

ArticleTranslational psychiatry2019

The latent structure of depressive symptoms across clinical high risk and chronic phases of psychotic illness.

Teresa Vargas, Anthony O Ahmed, Gregory P Strauss, Cassandra M Brandes, Elaine F Walker, Robert W Buchanan, James M Gold, Vijay A Mittal

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2019. 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
1.8field-weighted citation impact, top 14% 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

8 authors at 5 institutions in 1 country.

Teresa VargasNorthwestern University Department of Psychology, Evanston, IL, 60208, USA. teresavargas@u.northwestern.edu.
Anthony O AhmedWeill Cornell Medical College, New York, NY, 10065, USA.ORCID http://orcid.org/0000-0002-8023-3271
Gregory P StraussUniversity of Georgia, Athens, GA, 30602, USA.
Cassandra M BrandesNorthwestern University Department of Psychology, Evanston, IL, 60208, USA.
Elaine F WalkerEmory University, Atlanta, GA, 30322, USA.
Robert W BuchananUniversity of Maryland, Baltimore County, MD, 20742, USA.
James M GoldUniversity of Maryland, Baltimore County, MD, 20742, USA.
Vijay A MittalNorthwestern University Department of Psychology, Department of Psychiatry, Department of Medical Social Sciences, Institute for Policy Research, and Institute for Innovations in Developmental Sciences, Evanston, IL, 60208, USA.
Northwestern University · USUniversity of Maryland, Baltimore County · USCornell University · USEmory University · USUniversity of Georgia · US

Funding

CORE--RESEARCH NETWORK DEVELOPMENT COREP30MH068580 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI CARPENTER, WILLIAM T. · 2003 to 2007
$7.9M
2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M
2/3 Community psychosis risk screening: An instrument development studyR01MH112545 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2017 to 2021
$1.2M
Exercise and markers of medial temporal health in youth at-risk for psychosisR33MH103231 · NIMH · NORTHWESTERN UNIVERSITY · PI BRYAN, ANGELA, MITTAL, VIJAY A · 2016 to 2018
$689k
High-Risk Psychosis Youth and Caregivers: Emotion in InteractionR21MH115231 · NIMH · NORTHWESTERN UNIVERSITY · PI HAASE, CLAUDIA, MITTAL, VIJAY A · 2017 to 2018
$484k
Neural Habituation in Ultra High-Risk YouthR21MH110374 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2017 to 2018
$445k
NIMH NIH HHS P30 MH068580NIMH NIH HHS R01 MH112545NIMH NIH HHS R21 MH110374NIMH NIH HHS R21 MH115231NIMH NIH HHS R33 MH103231NIMH NIH HHS U01 MH081988
6 · The paper itself

Abstract

Depressive symptoms are highly prevalent in psychotic populations and result in significant functional impairment. Limited knowledge of whether depressive symptoms are invariant across stages of illness curtails our ability to understand how these relate to illness progression. Clarifying the latent structure of depressive symptoms across stages of illness progression would aid etiological conceptualizations and preventive models. In the present study, one-factor (including all items) and two-factor (depression/hopelessness and guilt/self-depreciation) solutions were specified through confirmatory factor analysis (CFA). Measurement invariance analyses were undertaken across schizophrenia (SCZ; n = 312) and clinical high-risk (CHR; n = 175) groups to estimate whether the same construct is being measured across groups. Clinical correlates of the factors were examined. Results indicated that CHR individuals had a greater proportion of mood disorder diagnoses. Metric invariance held for the one-factor solution, and scalar invariance held for the two-factor solution. Notably, negative symptoms did not correlate with depressive symptoms in the SCZ group, though strong correlations were observed in CHR individuals. Positive symptoms were comparably associated with depressive symptoms in both groups. Results suggest depressive symptoms are more prevalent in CHR individuals. Targeting these symptoms may aid future efforts to identify risk of conversion. Further, some depressive symptoms may be systematically more endorsed in CHR individuals. Separating into depression/hopelessness and guilt/self-depreciation scores may aid comparability across stages of illness progression, though this issue deserves careful attention and future study.

Indexed as

AdolescentAdultAffectDepressionFemaleHumansMaleMiddle AgedModels, PsychologicalPsychiatric Status Rating ScalesPsychometricsPsychotic DisordersYoung Adult

Identifiers

PMID31527596
PMCPMC6746855
OpenAlexW2973165848

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.