Evidence map›Paper›PMID 29279247›Full record

ArticleSchizophrenia research2018

Latent class cluster analysis of symptom ratings identifies distinct subgroups within the clinical high risk for psychosis syndrome.

Arthur T Ryan, Jean Addington, Carrie E Bearden, Kristin S Cadenhead, Barbara A Cornblatt, Daniel H Mathalon, Thomas H McGlashan, Diana O Perkins, Larry J Seidman, Ming T Tsuang and 3 more

Abstract read
In one paragraph

Article in Schizophrenia research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  4. Cognitive subtypes in youth at clinical high risk for psychosis.Psychiatry and clinical neurosciences · 2025
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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

13 authors at 9 institutions in 2 countries.

Arthur T RyanDepartment of Psychology, Emory University, Atlanta, GA, United States. Electronic address: arthur.ryan@va.gov.
Jean AddingtonDepartment of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Carrie E BeardenSemel Institute for Neuroscience and Human Behavior & Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
Kristin S CadenheadDepartment of Psychiatry, UCSD, San Diego, CA, United States.
Barbara A CornblattDepartment of Psychiatry, Zucker Hillside Hospital, Long Island, NY, United States.
Daniel H MathalonDepartment of Psychiatry, UCSF, San Francisco, CA, United States; SFVA Medical Center, San Francisco, CA, United States.
Thomas 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, Boston, MA, United States; Massachusetts General Hospital, Boston, MA, United States.
Ming T TsuangDepartment of Psychiatry, UCSD, San Diego, CA, United States.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT, United States.
Tyrone D CannonDepartment of Psychiatry, Yale University, New Haven, CT, United States; Department of Psychology, Yale University, New Haven, CT, United States.
Elaine F WalkerDepartment of Psychology, Emory University, Atlanta, GA, United States; Department of Psychiatry, Emory University, Atlanta, GA, United States.
Yale University · USEmory University · USUniversity of California San Diego · USBeth Israel Deaconess Medical Center · USSan Francisco VA Medical Center · USUniversity of Calgary · CAUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · USZucker Hillside Hospital · US

Funding

Harvard Clinical and Translational Science Center (UL1)UL1TR000170 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2012 to 2013
$31.4M
STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREEN, MICHAEL F. · 2003 to 2014
$18.6M
1/9 Predictors and Mechanisms of Conversion to PsychosisU01MH081902 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2008 to 2018
$12.4M
Vulnerability to Progression SchizophreniaP50MH080272 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SEIDMAN, LARRY · 2007 to 2011
$9.9M
5/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082004 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PERKINS, DIANA O. · 2008 to 2018
$7.5M
Administrative Supplement Harmonization of At Risk Multisite Observational Networks for Youth(HARMONY)U01MH081928 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI STONE, WILLIAM SETH · 2008 to 2018
$7.1M
4/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081857 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI CORNBLATT, BARBARA A. · 2008 to 2018
$6.2M
8/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082022 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2008 to 2018
$6.0M
2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M
6/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081944 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2008 to 2018
$4.9M
"7/9" Predictors and Mechanisms of Conversion to PsychosisU01MH081984 · NIMH · UNIVERSITY OF CALGARY · PI ADDINGTON, JEAN M · 2008 to 2018
$4.2M
9/9-Predictors and Mechanisms of Conversion to PsychosisU01MH076989 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MATHALON, DANIEL H · 2014 to 2018
$3.9M
NCATS NIH HHS UL1 TR000170NIMH NIH HHS P50 MH066286NIMH NIH HHS P50 MH080272NIMH NIH HHS U01 MH076989NIMH NIH HHS U01 MH081857NIMH NIH HHS U01 MH081902NIMH NIH HHS U01 MH081928NIMH NIH HHS U01 MH081944NIMH NIH HHS U01 MH081984NIMH NIH HHS U01 MH081988NIMH NIH HHS U01 MH082004NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

The clinical-high-risk for psychosis (CHR-P) syndrome is heterogeneous in terms of clinical presentation and outcomes. Identifying more homogenous subtypes of the syndrome may help clarify its etiology and improve the prediction of psychotic illness. This study applied latent class cluster analysis (LCCA) to symptom ratings from the North American Prodrome Longitudinal Studies 1 and 2 (NAPLS 1 and 2). These analyses produced evidence for three to five subgroups within the CHR-P syndrome. Differences in negative and disorganized symptoms distinguished among the subgroups. Subgroup membership was found to predict conversion to psychosis. The authors contrast the methods employed within this study with previous attempts to identify more homogenous subgroups of CHR-P individuals and discuss how these results could be tested in future samples of CHR-P individuals.

Indexed as

Disease ProgressionProdromal SymptomsAdolescentAdultFemaleHumansLatent Class AnalysisLongitudinal StudiesMaleNorth AmericaPsychotic DisordersRiskYoung AdultDisorganization symptomsFinite mixture modelsHeterogeneityProdromeSchizophrenia

Identifiers

PMID29279247
PMCPMC6015526
OpenAlexW2777577755

What OpenQuestion holds

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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.