Evidence map›Paper›PMID 31864837›Full record

ArticleSchizophrenia research2020

Predictive validity of conversion from the clinical high risk syndrome to frank psychosis.

Laura A Yoviene Sykes, Maria Ferrara, Jean Addington, Carrie E Bearden, Kristin S Cadenhead, Tyrone D Cannon, Barbara A Cornblatt, Diana O Perkins, Daniel H Mathalon, Larry J Seidman and 10 more

Open access · greenAbstract read
In one paragraph

Article in Schizophrenia research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
3.0field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  6. Observational
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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

20 authors at 10 institutions in 3 countries.

Laura A Yoviene SykesDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America. Electronic address: Laura.Yoviene@yale.edu.
Maria FerraraDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America; Dipartimento di Salute Mentale e Dipendenze Patologiche, AUSL Modena, Modena, Italy.
Jean AddingtonDepartment of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Carrie E BeardenDepartments of Psychology and Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, United States of America.
Kristin S CadenheadDepartment of Psychiatry, UCSD, San Diego, CA, United States of America.
Tyrone D CannonDepartments of Psychology and Psychiatry, Yale University, New Haven, CT, United States of America.
Barbara A CornblattDepartment of Psychiatry, Zucker Hillside Hospital, Long Island, NY, United States of America.
Diana O PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, United States of America.
Daniel H MathalonDepartment of Psychiatry, UCSF, San Francisco, CA, United States of America.
Larry J SeidmanDepartment of Psychiatry, Harvard Medical School, Boston, MA, United States of America.
Ming T TsuangDepartment of Psychiatry, UCSD, San Diego, CA, United States of America.
Elaine F WalkerDepartments of Psychology and Psychiatry, Emory University, Atlanta, GA, United States of America.
Thomas H McGlashanDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America.
Kristen A WoodberryDepartment of Psychiatry, Harvard Medical School, Boston, MA, United States of America; Center for Psychiatric Research, Maine Medical Center, Portland, ME, United States of America.
Albert R PowersDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America.
Allison N PonceDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America.
John D CahillDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America.
Jessica M PollardDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America.
Vinod H SrihariDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America.
Scott W WoodsDepartment of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America.
Yale University · USUniversity of California San Diego · USEmory University · USHarvard University · USMaine Medical Center · USNeurobehavioral Systems · USUniversity of Calgary · CAUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · USZucker Hillside Hospital · US

Funding

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 WOO, TSUNGUNG · 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
VULNERABILITY MARKERS IN PRODROMAL SCHIZOPHRENIAR01MH060720 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2000 to 2010
$4.0M
STEP-ED:Reducing Duration of Untreated Psychosis and its Impact in the U.S.R01MH103831 · NIMH · YALE UNIVERSITY · PI SRIHARI, VINOD H. · 2013 to 2017
$3.9M
NIMH NIH HHS K23 MH115252NIMH NIH HHS K24 MH076191NIMH NIH HHS P50 MH066286NIMH NIH HHS P50 MH080272NIMH NIH HHS R01 MH060720NIMH NIH HHS R01 MH103831NIMH 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

Although the clinical high risk for psychosis (CHR) paradigm has become well-established over the past two decades, one key component has received surprisingly little investigative attention: the predictive validity of the criteria for conversion or transition to frank psychosis. The current study evaluates the predictive validity of the transition to psychosis as measured by the Structured Interview for Psychosis-Risk Syndromes (SIPS) in CHR individuals. Participants included 33 SIPS converters and 399 CHR non-converters both from the North American Prodromal Longitudinal Study (NAPLS-2), as well as a sample of 67 separately ascertained first-episode psychosis (FEP) patients from the STEP program. Comparisons were made at baseline and one-year follow-up on demographic, diagnostic stability (SCID), and available measurement domains relating to severity of illness (psychotropic medication, psychosocial treatment, and resource utilization). Principal findings are: 1) a large majority of cases in both SIPS converters (n = 27/33, 81.8%) and FEP (n = 57/67, 85.1%) samples met criteria for continued psychosis at one-year follow-up; 2) follow-up prescription rates for current antipsychotic medication were higher in SIPS converters (n = 17/32, 53.1%) compared to SIPS non-converters (n = 81/397, 20.4%), and similar as compared to FEP cases (n = 39/65, 60%); and 3) at follow-up, SIPS converters had higher rates of resource utilization (psychiatric hospitalizations, day hospital admissions, and ER visits) than SIPS non-converters and were similar to FEP in most categories. The results suggest that the SIPS definition of psychosis onset carries substantial predictive validity. Limitations and future directions are discussed.

Indexed as

Prodromal SymptomsPsychotic DisordersHumansLongitudinal StudiesSyndromePredictive validitySIPSTransition

Identifiers

PMID31864837
PMCPMC7239715
OpenAlexW2996371237

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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.