Evidence map›Paper›PMID 30121183›Full record

ArticleSchizophrenia research2019

Social vs. non-social measures of learning potential for predicting community functioning across phase of illness in schizophrenia.

Peter E Clayson, Robert S Kern, Keith H Nuechterlein, Barbara J Knowlton, Carrie E Bearden, Tyrone D Cannon, Alan P Fiske, Livon Ghermezi, Jacqueline N Hayata, Gerhard S Hellemann and 8 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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

18 authors at 3 institutions in 1 country.

Peter E ClaysonVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States. Electronic address: pclayson@ucla.edu.
Robert S KernVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Keith H NuechterleinDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States; Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States.
Barbara J KnowltonDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, United States.
Carrie E BeardenDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States; Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States.
Tyrone D CannonDepartment of Psychology, Yale University, New Haven, CT, United States.
Alan P FiskeDepartment of Anthropology, University of California Los Angeles, Los Angeles, CA, United States.
Livon GhermeziDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Jacqueline N HayataDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Gerhard S HellemannDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
William P HoranVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Kimmy KeeDepartment of Psychology, California State University Channel Islands, Los Angeles, CA, United States.
Junghee LeeVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Kenneth L SubotnikDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Catherine A SugarDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Joseph VenturaDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Cindy M YeeDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States; Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States.
Michael F GreenVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
University of California, Los Angeles · USCalifornia State University, Channel Islands · USYale University · US

Funding

STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NUECHTERLEIN, KEITH H · 2003 to 2014
$18.6M
NIMH NIH HHS P50 MH066286
6 · The paper itself

Abstract

Studies demonstrate that dynamic assessment (i.e., learning potential) improves the prediction of response to rehabilitation over static measures in individuals with schizophrenia. Learning potential is most commonly assessed using neuropsychological tests under a test-train-test paradigm to examine change in performance. Novel learning potential approaches using social cognitive tasks may have added value, particularly for the prediction of social functioning, but this area is unexplored. The present study is the first to investigate whether patients with schizophrenia demonstrate social cognitive learning potential across phase of illness. This study included 43 participants at clinical high risk (CHR), 63 first-episode, and 36 chronic schizophrenia patients. Assessment of learning potential involved test-train-test versions of the Wisconsin Card Sorting Test (non-social cognitive learning potential) and the Facial Emotion Identification Test (social cognitive learning potential). Non-social and social cognition pre-training scores (static scores) uniquely predicted concurrent community functioning in patients with schizophrenia, but not in CHR participants. Learning potential showed no incremental explanation of variance beyond static scores. First-episode patients showed larger non-social cognitive learning potential than CHR participants and were similar to chronic patients; chronic patients and CHR participants were similar. Group differences across phase of illness were not observed for social cognitive learning potential. Subsequent research could explore whether non-social and social cognitive learning potential relate differentially to non-social versus social types of training and rehabilitation.

Indexed as

Disease ProgressionSocial PerceptionAdolescentAdultChronic DiseaseCognitive DysfunctionFemaleHumansLearningMaleRiskSchizophreniaYoung AdultDynamic assessmentFEITLearning potentialSchizophreniaSocial cognitionWCST

Identifiers

PMID30121183
PMCPMC6377348
OpenAlexW2886470421

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.