Evidence map›Paper›PMID 30797038›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2019

Clinical Profiles and Conversion Rates Among Young Individuals With Autism Spectrum Disorder Who Present to Clinical High Risk for Psychosis Services.

Jennifer H Foss-Feig, Eva Velthorst, Lauren Smith, Abraham Reichenberg, Jean Addington, Kristin S Cadenhead, Barbara A Cornblatt, Daniel H Mathalon, Thomas H McGlashan, Diana O Perkins and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Autism spectrum disorder and schizophrenia: An updated conceptual review.Autism research : official journal of the International Society for Autism Research · 2022
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Jennifer H Foss-FeigSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: jennifer.foss-feig@mssm.edu.
Eva VelthorstSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY.
Lauren SmithSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY.
Abraham ReichenbergSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY.
Jean AddingtonUniversity of Calgary, Alberta, Canada.
Kristin S CadenheadUniversity of California, San Diego.
Barbara A CornblattZucker Hillside Hospital, Queens, NY.
Daniel H MathalonUniversity of California, San Francisco, CA; VA San Francisco Healthcare System, San Francisco, CA.
Thomas H McGlashanConnecticut Mental Health Center, Yale University, New Haven, CT.
Diana O PerkinsUniversity of North Carolina, Chapel Hill.
Larry J SeidmanHarvard Medical School, Boston, MA.
William S StoneHarvard Medical School, Boston, MA.
Matcheri KeshavanHarvard Medical School, Boston, MA.
Ming T TsuangUniversity of California, San Diego.
Elaine F WalkerEmory University, Atlanta, GA.
Scott W WoodsConnecticut Mental Health Center, Yale University, New Haven, CT.
Tyrone D CannonYale University, New Haven, CT.
Carrie E BeardenUniversity of California, Los Angeles.

Funding

STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NUECHTERLEIN, KEITH H · 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
9/9-Predictors and Mechanisms of Conversion to PsychosisU01MH076989 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MATHALON, DANIEL H · 2014 to 2018
$3.9M
NIMH NIH HHS K24 MH076191NIMH NIH HHS P50 MH066286NIMH NIH HHS P50 MH080272NIMH NIH HHS R01 MH060720NIMH NIH HHS R01 MH105084NIMH NIH HHS R01 MH105243NIMH NIH HHS R21 MH102374NIMH NIH HHS R21 MH115297NIMH NIH HHS R34 MH105247NIMH 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

objectiveThe overlap versus independence of autism spectrum disorder (ASD) and schizophrenia is a topic that has garnered the attention of generations of clinicians and scientists. Although high rates of psychotic symptoms have been identified in individuals with ASD, the nature, prevalence, and prognostic significance of subclinical psychotic experiences in ASD remain poorly understood.

methodThis study sought to compare baseline characteristics, clinical profiles, and conversion outcomes between young individuals at clinical high risk for psychosis (CHR) who presented with or without a prior ASD diagnosis during the second phase of the North American Prodrome Longitudinal Study (NAPLS, N = 764).

resultsPatients with CHR and ASD (CHR/ASD+, n = 26) tended to exhibit greater social and social cognitive difficulties, but expressed relatively levels of core psychosis symptoms similar to those of to patients with CHR but no ASD (CHR/ASD-). Risk for conversion to co-occurring psychosis (18.2% CHR/ASD+ versus 16.8% CHR/ASD-) was equivalent between CHR/ASD+ and CHR/ASD- groups, and the NAPLS2 Psychosis Risk Calculator predicted conversion to psychosis equally well across groups.

conclusionThese results suggest that baseline psychosis symptoms, predictors of risk for conversion, and ultimate conversion rates are similar in patients with CHR with and without ASD. They further suggest that ASD must not be considered a mutually exclusive diagnosis when such youth present in CHR settings. Future research is needed to better track trajectories in larger cohorts of individuals with CHR and comorbid ASD and to understand whether treatment recommendations effective in the broader CHR population are useful for this particular population as well.

Indexed as

Prodromal SymptomsAdolescentAutism Spectrum DisorderCase-Control StudiesDisease ProgressionFemaleHumansLinear ModelsLongitudinal StudiesMaleNorth AmericaPredictive Value of TestsPsychotic DisordersRiskYoung Adultcomorbiditydevelopmentprodromeschizophreniasymptoms

Identifiers

PMID30797038
PMCPMC7781438

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.