Evidence map›Paper›PMID 39144786›Full record

ArticleSchizophrenia bulletin open2022

Twelve-Month Cognitive Trajectories in Individuals at Ultra-High Risk for Psychosis: A Latent Class Analysis.

Kelly Allott, Stefanie J Schmidt, Hok Pan Yuen, Stephen J Wood, Barnaby Nelson, Connie Markulev, Suzie Lavoie, Warrick J Brewer, Miriam R Schäfer, Nilufar Mossaheb and 15 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Cognitive subtypes in youth at clinical high risk for psychosis.Psychiatry and clinical neurosciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

25 authors.

Kelly AllottOrygen, Parkville, Australia.ORCID https://orcid.org/0000-0002-0640-4634
Stefanie J SchmidtDepartment of Clinical Child and Adolescent Psychology, University of Bern, Switzerland.
Hok Pan YuenOrygen, Parkville, Australia.
Stephen J WoodOrygen, Parkville, Australia.
Barnaby NelsonOrygen, Parkville, Australia.
Connie MarkulevOrygen, Parkville, Australia.
Suzie LavoieOrygen, Parkville, Australia.
Warrick J BrewerOrygen, Parkville, Australia.
Miriam R SchäferOrygen, Parkville, Australia.
Nilufar MossahebDepartment of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria.
Monika SchlögelhoferDepartment of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria.
Stefan SmesnyDepartment of Psychiatry, University Hospital Jena, Jena, Germany.
Ian B HickieBrain and Mind Centre, University of Sydney, Sydney, Australia.
Gregor Emanuel BergerChild and Adolescent Psychiatric Service of the Canton of Zurich, Zurich, Switzerland.
Eric Y H ChenDepartment of Psychiatry, University of Hong Kong, Hong Kong, Hong Kong.
Lieuwe de HaanDepartment of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Dorien H NiemanDepartment of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Merete NordentoftMental Health Centre Copenhagen, Department of Clinical Medicine, Copenhagen University Hospital, Copenhagen, Denmark.
Anita Riecher-RösslerMedical Faculty, University of Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0001-6361-8789
Swapna VermaInstitute of Mental Health, Singapore, Singapore.
Andrew ThompsonOrygen, Parkville, Australia.
Alison R YungOrygen, Parkville, Australia.
Paul AmmingerOrygen, Parkville, Australia.
Patrick D McGorryOrygen, Parkville, Australia.
Jessica HartmannOrygen, Parkville, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding longitudinal cognitive performance in individuals at ultra-high risk for psychosis (UHR) is important for informing theoretical models and treatment. A vital step in this endeavor is to determine whether there are UHR subgroups that have similar patterns of cognitive change over time. The aims were to: i) identify latent class trajectories of cognitive performance over 12-months in UHR individuals, ii) identify baseline demographic and clinical predictors of the resulting classes, and iii) determine whether trajectory classes were associated with transition to psychosis or functional outcomes. Cognition was assessed using the Brief Assessment of Cognition in Schizophrenia (BACS) at baseline, 6- and 12-months (

Indexed as

cognitiongrowth mixture modelinglongitudinalomega-3 indexschizophrenia

Identifiers

PMID39144786
PMCPMC11205973

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.