Evidence map›Paper›PMID 30078717›Full record

ArticleSchizophrenia research2019

Neurocognitive profiles in the prodrome to psychosis in NAPLS-1.

Eva Velthorst, Eric C Meyer, Anthony J Giuliano, Jean Addington, Kristin S Cadenhead, Tyrone D Cannon, Barbara A Cornblatt, Thomas H McGlashan, Diana O Perkins, Ming T Tsuang and 4 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Schizophrenia research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Cognitive subtypes in youth at clinical high risk for psychosis.Psychiatry and clinical neurosciences · 2025
    Article
  5. Exposotypes in psychotic disorders.Scientific reports · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Transdiagnostic subgroups of cognitive impairment in early affective and psychotic illness.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  11. Article
  12. Article
  13. Rethinking Immunity and Cognition in Clinical High Risk for Psychosis.Current topics in behavioral neurosciences · 2023
    Article
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  15. Review
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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

14 authors at 11 institutions in 2 countries.

Eva VelthorstDepartment of Psychiatry and Seaver Autism Center for Treatment and Research, Icahn School of Medicine at Mount Sinai, New York, USA. Electronic address: eva.velthorst@mssm.edu.
Eric C MeyerDepartment of Psychiatry and Behavioral Science, Texas A&M Health Science Center, College of Medicine, College Station, TX, USA; VA VISN 17 Center of Excellence for Research on Returning War Veterans at Central Texas Veterans Healthcare System, Waco, TX, USA; Warriors Research Institute, Baylor Scott & White Health, Waco, TX, USA.
Anthony J GiulianoDepartment of Psychology, Worcester Recovery Center and Hospital, Worcester, MA, USA.
Jean AddingtonDepartment of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Kristin S CadenheadDepartment of Psychiatry, University of California, San Diego, CA, USA.
Tyrone D CannonDepartment of Psychology, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA.
Barbara A CornblattDepartment of Psychiatry, Zucker Hillside Hospital, Long Island, NY, USA.
Thomas H McGlashanDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Diana O PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Ming T TsuangDepartment of Psychiatry, University of California, San Diego, CA, USA.
Elaine F WalkerDepartments of Psychology and Psychiatry, Emory University, Atlanta, GA, USA.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Carrie E BeardenDepartments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, CA, USA.
Larry J SeidmanDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School at Massachusetts General Hospital, Boston, MA, USA.
Yale University · USUniversity of California, San Diego · USCentral Texas Veterans Health Care System · USEmory University · USIcahn School of Medicine at Mount Sinai · USMassachusetts General Hospital · USNeurobehavioral Systems · USUniversity of Calgary · CAUniversity of North Carolina at Chapel Hill · USWorcester Recovery Center and Hospital · 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
Prospective study of the onset of schizophreniaP50MH064065 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LAMANTIA, ANTHONY S · 2002 to 2011
$19.6M
STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YEE-BRADBURY, CINDY M. · 2003 to 2014
$18.6M
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
VULNERABILITY MARKERS IN PRODROMAL SCHIZOPHRENIAR01MH060720 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2000 to 2010
$4.0M
PK/PD, DOSE FINDING AND ADJUNCTIVE TREATMENT STUDIESU01MH074356 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI JAVITT, DANIEL C. · 2005 to 2009
$3.9M
CHARACTERIZATION OF PRODROMAL SCHIZOPHRENIAR01MH061523 · NIMH · LONG ISLAND JEWISH MEDICAL CENTER · PI CORNBLATT, BARBARA A. · 2000 to 2009
$3.6M
Working Memory and Social Functioning in SchizophreniaR01MH065079 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNON, TYRONE D · 2003 to 2007
$2.7M
NCATS NIH HHS UL1 TR000170NIMH NIH HHS K05 MH001654NIMH NIH HHS K24 MH076191NIMH NIH HHS P50 MH064065NIMH NIH HHS P50 MH066286NIMH NIH HHS R01 MH060720NIMH NIH HHS R01 MH061523NIMH NIH HHS R01 MH062066NIMH NIH HHS R01 MH065079NIMH NIH HHS R41 MH083436NIMH NIH HHS U01 MH066069NIMH NIH HHS U01 MH066134NIMH NIH HHS U01 MH074356NIMH NIH HHS U01 MH081857NIMH NIH HHS U01 MH081928NIMH NIH HHS U01 MH081944NIMH NIH HHS U01 MH081988NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

backgroundMost studies of neurocognitive functioning in Clinical High Risk (CHR) cohorts have examined group averages, likely concealing heterogeneous subgroups. We aimed to identify neurocognitive subgroups and to explore associated outcomes.

methodsData were acquired from 324 participants (mean age 18.4) in the first phase of the North American Prodrome Longitudinal Study (NAPLS-1), a multi-site consortium following individuals for up to 2 1/2 years. We applied Ward's method for hierarchical clustering data to 8 baseline neurocognitive measures, in 166 CHR individuals, 49 non-CHR youth with a family history of psychosis, and 109 healthy controls. We tested whether cluster membership was associated with conversion to psychosis, social and role functioning, and follow-up diagnosis. Analyses were repeated after data were clustered based on independently developed clinical decision rules.

resultsFour neurocognitive clusters were identified: Significantly Impaired (n = 33); Mildly Impaired (n = 82); Normal (n = 145) and High (n = 64). The Significantly Impaired subgroup demonstrated the largest deviations on processing speed and memory tasks and had a conversion rate of 58%, a 40% chance of developing a schizophrenia spectrum diagnosis (compared to 24.4% in the Mildly Impaired, and 10.3% in the other two groups combined), and significantly worse functioning at baseline and 12-months. Data clustered using clinical decision rules yielded similar results, pointing to high convergent validity.

conclusionNeurocognitive profiles vary substantially in their severity and are associated with diagnostic and functional outcome, underscoring neurocognition as a predictor of illness outcomes. These findings, if replicated, are a first step toward personalized treatment for individuals at-risk for psychosis.

Indexed as

Disease ProgressionProdromal SymptomsAdolescentAdultCognitive DysfunctionFemaleHumansLongitudinal StudiesMalePsychotic DisordersRiskSchizophreniaYoung AdultClinical High RiskCluster analysisFunctional outcomeHeterogeneityNeuropsychology

Identifiers

PMID30078717
PMCPMC6359987
OpenAlexW2885823394

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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.